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Identified by Google from the original job post
Qualifications
• Candidates should have extensive experience in backend engineering, team leadership, and machine learning technologies
Responsibilities
• The role involves mentoring, collaborating across teams, and delivering complex projects
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Job description
A leading media organization in Atlanta is seeking an Engineering Manager to lead a team of engineers focusing on AI and machine learning applications. The role involves mentoring, collaborating across teams, and delivering complex projects. Candidates should have extensive experience in backend engineering, team leadership, and machine learning technologies. This position offers a dynamic work en...vironment with opportunities for professional growth.

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ABOUT QUANTUMLOOPAI

QuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation. Backed by leading investors and scaling rapidly ahead of our Series A, we are building the infrastructure that will defin...e the next generation of AI-driven service delivery.

ABOUT THE ROLE

We are looking for a Junior Business Analyst / Project Coordinator to join our growing team. This is a hybrid role that combines business analysis with project coordination. You will help translate business requirements into actionable work, support product delivery, and ensure smooth communication between internal teams and external clients. This is a great opportunity for someone early in their career who wants hands-on experience across operations, product delivery and client-facing work in a fast-moving AI startup.

WHAT YOU WILL DO

• Gather, document and analyse business and user requirements from internal stakeholders and external clients.

• -Support the coordination of product implementations, onboarding and go-lives for new clients.

• Maintain and update project plans, trackers and status reports, flagging risks and blockers early.

• Assist in creating user stories, acceptance criteria and work items in Azure DevOps.

• Liaise between engineering, product and client-facing teams to ensure alignment on priorities and timelines.

• Help produce client-facing documentation including release notes, user guides and training materials.

• Support CRM and ticket management workflows using tools such as HubSpot and Azure DevOps.

• Contribute to process improvement initiatives across operations and delivery.

• Attend client calls and internal stand-ups, capturing actions and following up on outcomes.

ESSENTIAL

• 0-2 years of experience in a business analysis, project coordination or operations support role (internships and placements count).

• Strong written and verbal communication skills — you can translate technical detail into clear, client-friendly language.

• Organised and detail-oriented, comfortable managing multiple tasks and deadlines simultaneously.

• Familiarity with project management or issue-tracking tools such as Azure DevOps, Jira or Trello.

• Comfortable working with data — able to read spreadsheets, spot patterns and summarise findings.

• A collaborative mindset and willingness to learn in a fast-paced startup environment.

• Comfortable working remotely and aligning to UK business hours (9:00 AM to 6:00 PM GMT/BST).

DESIRABLE

• Experience working in a software, SaaS or technology company.

• Familiarity with agile delivery methodologies (Scrum or Kanban).

• Experience with CRM platforms such as HubSpot.

• Understanding of product development lifecycles and stakeholder management.

• Experience producing user-facing documentation, guides or training materials.

LOGISTICS

• Education: We value skills and experience over formal qualifications.

• Working arrangements: Fully remote from India, aligned to UK business hours (9:00 AM to 6:00 PM GMT/BST).

• Start date: Flexible.

WHAT WE OFFER

• Competitive package depending on experience

• Potential share options

• Professional development including conference attendance and CPD support

• The opportunity to work across operations, product delivery and client management at one of the UK's fastest-growing healthtech companies

• Remote working with a collaborative, supportive team

• Hands-on exposure to the full product lifecycle in an AI startup

HOW WE ARE DIFFERENT

At QuantumLoopAI, you will join a team that is building AI-powered products used by hundreds of organisations across the UK. We move fast, take ownership, and celebrate wins together. Our culture values:

• Impact over optics. We measure success by real outcomes, not busy work

• Transparency. Open communication, honest feedback, shared context

• Ownership. You will have real autonomy to shape your work and our platform

• Learning. We are building something new, and we learn from every experiment

DIVERSITY AND INCLUSION

We believe diverse teams build better products. We welcome applications from candidates of all backgrounds, and we are committed to creating an inclusive environment where everyone can do their best work. If you are excited about this role but do not meet every requirement, we would still love to hear from you.

RECRUITMENT SAFETY NOTICE

QuantumLoopAI will never ask candidates for payment or sensitive financial information during the recruitment process. All official communications come from @quantumloopai.com email addresses.

COME WORK WITH US

Ready to help build the operations behind one of the UK's fastest-growing AI products? We would love to hear from you. Questions about this role? Contact careers@quantumloopai.com

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About The Role

We're seeking experienced software engineers in Toronto to evaluate and improve the performance of frontier AI models. You'll critically assess AI-generated code, identify subtle bugs and hallucinations, and provide expert-level feedback.

• Organization: Alignerr

• Type: Hourly Contract

• Compensation: $50–$100 /hour

• Location: Remote

• Commitment: 10–40 hours/week

What You'll Do...

• Evaluate the performance of frontier language models on complex software engineering tasks

• Identify bugs, logical errors, hallucinations, and reliability issues in model outputs

• Design and review prompts, test cases, and evaluation scenarios for advanced coding workflows

• Provide precise written feedback explaining model strengths, weaknesses, and edge cases

• Work across multiple languages and codebases to assess generalization and correctness

Who You Are

• 3–4+ years of professional software engineering experience

• Strong proficiency in at least one of: TypeScript, Ruby, Java, or C++

• Excellent written and spoken English

• Demonstrated ability to reason about complex systems and debug non-obvious issues

• Familiarity with modern AI / LLM tooling (Git, CLI workflows, testing frameworks, etc.)

• Ability to critically evaluate model behavior rather than simply use model outputs

Why Join Us

• Competitive pay and flexible remote work

• Work on cutting-edge AI projects with top research labs

• Freelance perks: autonomy, flexibility, and global collaboration

• Potential for ongoing work and contract extension

Application Process (Takes 10–15 min)

• Submit your resume

• Complete a short screening

• Project matching and onboarding

PS: Our team reviews applications daily. Please complete your application steps to be considered for this opportunity.

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A leading data and AI platform in Toronto seeks AI Trainers (Research Scientists) to evaluate and enhance AI models. Candidates should have research experience, a good understanding of scientific methodology, and a willingness to undergo skills verification. This role allows for flexible hours and the potential to earn up to £50 / hr. Participants are self-employed, requiring compliance with tax o...bligations. Join a platform driving the next wave of AI innovation.

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Job description

Must-have skills

Python

2 Year(s)

Node.js

2 Year(s)

Typescript

2 Year(s)

Aws

2 Year(s)

Google Cloud Platform - Gcp

2 Year(s)

Language required

English

Senior Software Engineer — AI Infrastructure & Product About the Role Boardy.ai is looking for a Senior Software Engineer to help build the core systems powering how professionals discover, connect, and build relationships. You will wor...k directly with the founders and product team to design, build, and scale a product that combines AI, graph data, and real-world human interactions. This is a high-ownership role for someone who wants to move fast, ship often, and help define both the technical architecture and the future of the company. What You'll Do - Design and build end-to-end product features across backend, frontend, and AI workflows - Architect scalable systems that support thousands of users, real-time interactions, and growing datasets - Build and improve integrations with LLMs, vector databases, APIs, and internal recommendation systems - Own key technical decisions around infrastructure, performance, reliability, and security - Collaborate closely with product, design, and founders to rapidly turn ideas into shipped features - Improve developer velocity through better tooling, testing, deployment, and observability - Mentor other engineers and help establish engineering best practices as the team grows What We're Looking For - 5+ years of software engineering experience, ideally in startups or high-growth environments - Strong experience with modern backend development (Node.js, Python, Go, or similar) - Experience building production systems with cloud infrastructure such as AWS or GCP - Strong understanding of databases, APIs, distributed systems, and system design - Experience with AI products, LLMs, embeddings, vector search, or recommendation systems is a major plus - Comfortable owning projects from idea to production with minimal oversight - Strong product instincts and ability to balance speed with quality - Excellent communication skills and a bias toward action Nice to Have - Experience with graph databases, knowledge graphs, or social network products - Experience working with React, TypeScript, and modern frontend frameworks - Previous experience at an early-stage startup - Experience building internal tools, workflow automation, or data pipelines - Familiarity with ranking algorithms, search, or marketplace-style products Why Join - Work directly with the founders on a product with massive upside - High ownership and influence over both product and technical direction - Small, fast-moving team where your work will immediately matter - Opportunity to help shape the future of AI-powered networking and relationship intelligence - Competitive compensation, equity, and flexible remote work

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Job description

Position: Staff Backline Engineer - Data & AI

P-1381

At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insig...hts to improve their business.

Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Team:

The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products.

By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.

What your impact will be:

• Deep Dive Troubleshooting

:

Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI ecosystem to resolve high-priority architectural failures and complex system anomalies.

• Root Cause Analysis

:

Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.

• Architectural Optimization

:

Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource efficiency and throughput.

• Product Improvements

:

Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the product roadmap and driving initiatives that enhance long-term supportability.

Scalability & Tooling:

Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate complex backline findings into standardised resolution paths to empower and scale the broader organisation.

What we look for:

We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven experience in managing both customers and technical stakeholders.

Since each track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in al

l:

• Data Engineering Track

:

Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or Scala.

• Product Supportability Track

:

Deep understanding of distributed system internals. Ability to perform code-level root-cause analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug fixes and mentoring other engineers.

• AI Track

:

Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML workloads for performance and scalability.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page .

Local Pay Range $170.40—$255.60 USD

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Job Postings: Available position for a Project Leader – AI driven Drug Discovery in our Chemistry R&D site in Vancouver, BC.

PHARMA INVENTOR INC., is a Vancouver-based rapidly growing preclinical drug discovery contract research & development organization. Company offers a dynamic and collaborative work environment where scientific excellence, innovation and matching salary & benefits are at the ...forefront.

Job description for Project Leader - AI driven Drug Discovery positions:

Pharma Inventor, Inc. is seeking energetic, result-oriented individuals with proven track records of success to join our dynamic team.

The successful candidate is expected to be a highly motivated Machine Learning professional to help drive research on Machine Learning for Drug Discovery. As Project lead for AI, the candidate will occupy a high-impact, strategic position, acting as the essential bridge between AI Research team and the Drug Discovery department. The successful candidate will collaborate extensively with our R&D Scientists to deploy and deliver machine-learning solutions for small-molecule drug discovery. The key responsibilities of the successful candidates include the following:

• Apply computational chemistry techniques and AI methodologies to support the discovery and optimization of new drug candidates.

• Develop and apply AI/ML models for structure-based and ligand-based drug design.

• Use computational chemistry and AI tools to predict and optimize PD/PK properties.

• Plan and execute AI-driven research projects, ensuring they are delivered on time, within scope, and to the highest scientific standards.

• Design AI algorithms to identify novel drug candidates and understand their mechanisms.

• Lead interdisciplinary teams.

• Align AI research initiatives with Drug Discovery objectives to prioritize projects based on their scientific and business impact.

• Collaborate with medicinal chemists in our Chemistry R&D Department on drug discovery projects.

• Analyze large datasets to extract insights and inform decisions.

• Prepare and review scientific reports, publications, and presentations.

• Contribute to the development of new computational tools and methodologies.

• Participate in defining the scientific roadmap by identifying how the latest AI advancements (Generative AI, Causal AI) can solve concrete drug discovery hurdles.

• Evaluate and interpret model predictions to guide experiments and generate hypotheses.

• Promote best practices in data governance, reproducibility, and research quality standards.

• Present findings to both technical and non-technical stakeholders.

• Participate in scientific discussions and strategy meetings.

Minimum Qualifications:

Ph.D. or master’s degree in computational chemistry with excellent Medicinal Chemistry/Synthetic Chemistry background/ knowledge. Relevant industrial experience in computational chemistry, AI and drug discovery is an asset.

Applicant recently graduated from a Canadian University or those ones holding Canadian Citizenship/Permanent Residency to be eligible to start working are highly encouraged to apply immediately.

The position is remote-friendly within Canada, with a requirement to visit our Vancouver-based facility at least once a month to maintain team cohesion.

Preferred Qualifications:

• Proven experience in developing and applying computational chemistry and AI/ML models in the pharmaceutical or biotechnology industry.

• Highly proficient in the latest AI advancements for Drug Discovery (Generative models, single-cell sequencing, systems biology).

• Experience with computational chemistry software (e.g., Schrödinger, MOE, AMBER, GROMACS.) and AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

• Proficiency in computational chemistry techniques and creating advanced AI/ML models for drug design and biological data analysis, including Large Language Models for biology, de novo drug design with Generative AI, geometric deep learning, and structure-based bioactivity prediction.

• Ability to work effectively in multidisciplinary teams, demonstrating excellent communication and problem-solving skills.

• Well soft skills required including being organized, agile, problem-solver and a persuasive communicator.

• Self-motivated and passionate about staying current with computational chemistry and the latest AI/ML technologies and their applications in drug discovery.

• Excellent written and verbal communication skills.

• Detail-oriented with strong organizational and project management skills.

• Languages: Fluency in English is mandatory. Knowledge of French is a plus but is not a requirement for this role.

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Job description

**Position Overview**:

We are seeking a highly experienced **Applied AI Solutions Development Subject Matter Expert (SME)** to help design, review, and enhance the curriculum for our **Applied Artificial Intelligence (AI) Solutions Development** program. The SME will work closely with instructional designers to ensure the program content reflects current AI technologies and industry practices. Thi...s role also involves preparing necessary documentation for **Private Training Institutions Branch (PTIB) submission**, ensuring the program meets all compliance and regulatory standards.

• *Key Responsibilities**:

- Develop and review comprehensive course content covering areas such as **machine learning**, **natural language processing (NLP)**, **computer vision**, and **AI-driven automation**.

- Collaborate with instructional designers to create practical learning experiences, such as **hands-on labs**, **AI projects**, and **case studies** that emphasize applied AI solutions.

- Prepare and review all necessary documentation for **PTIB submission**, ensuring that the program complies with relevant regulations and quality assurance standards.

- Ensure the curriculum is aligned with industry-recognized certifications and best practices in **AI development**, **data analytics**, and **AI ethics**.

- Stay up to date with emerging trends in AI such as **Generative AI**, **AI ethics**, **responsible AI**, and **AI in various industries** (e.g., healthcare, finance, and robotics) and incorporate these advancements into the curriculum.

• *Qualifications**:

- **Bachelor’s degree** in **Artificial Intelligence**, **Data Science**, **Computer Science**, or a related field (Master’s degree or PhD preferred).

- Minimum of **5 years of experience** in developing or implementing AI solutions across various industries.

- Proficient in programming languages and AI frameworks, such as **Python**, **TensorFlow**, **Keras**, **PyTorch**, and **scikit-learn**.

- Experience with **PTIB submission** or similar regulatory processes is an asset.

- Excellent communication and presentation skills, with the ability to translate complex AI concepts into digestible and engaging course content.

• *Job Type**: Part-time

Pay: $90.00-$100.00 per hour

• *Education**:

- Secondary School (preferred)

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Job description

Artificial Intelligence (AI) is already an essential part of the world, from daily chatbots to assistants for education, healthcare, and software development. However, current AI systems, including Large Language Models (LLMs) like ChatGPT, are prone to producing incorrect, inaccurate, or misleading outputs. These failures can have serious consequences, such as misleading students, providing unsaf...e medical advice, or generating vulnerable code, fundamentally undermining the trustworthiness of AI.

The primary goal of this project is to address these critical challenges by developing a NeuroSymbolic AI framework. The project aims to enhance the trustworthiness of AI systems by detecting untrustworthy training data, refining reasoning steps, and constraining outputs through rigorous mathematical methods called formal methods. By integrating the learning capabilities of neural networks with the rigorous reasoning of formal methods, this project seeks to combine the strengths of both neural and symbolic architectures to create systems that are not only powerful but also verifiable and safe.

The project is supervised by Dr Chengyu Zhang (https://chengyuzhang.com/), an expert in Software Engineering, Programming Languages, Formal Methods, and Artificial Intelligence. Dr Zhang has served on program committees for top-tier conferences (ICSE, FSE, ASE, ISSTA) and reviews for leading journals (TSE, TOSEM, TOPLAS, CUSR). His research has been recognised with a PLDI Distinguished Paper Award and a Google Open Source Peer Bonus, and supported by an Amazon Research Award and a CCF-ANT Research Award.

This PhD project offers opportunities for global collaboration with researchers from prestigious institutions (including MIT, UCL, NUS, and ETH Zurich) and industry partners (such as AWS). The work will directly contribute to the safety and reliability of AI in critical domains, aligning with the UK AI Opportunities Action Plan.

This self-funded PhD position is ideally suited for candidates who possess:

• Academic Background: A first-class or good 2:1 honours degree (or equivalent international qualification) in Computer Science, Software Engineering, Mathematics, or a closely related discipline.

• Technical Skills: Proven programming ability (e.g., Python, C/C++). Experience with machine learning, formal methods or theorem proving is a distinct advantage.

• Aptitude: Strong analytical, mathematical, and problem-solving skills, with a keen interest in developing robust and trustworthy AI systems.

• Communication: Excellent written and oral communication skills in English, essential for paper writing, presentations, and collaborations.

• Motivation: High level of self-motivation, a capacity for independent research, and a commitment to academic rigour.

The supervisor will provide weekly meetings, dedicated support for research and writing, and guidance on navigating the doctoral process.

Name of primary supervisor/CDT lead:

Chengyu Zhang c.zhang4@lboro.ac.uk

https://www.lboro.ac.uk/departments/compsci/staff/chengyu-zhang/

Entry requirements:

A first-class or good 2:1 honours degree (or equivalent international qualification) in Computer Science, Software Engineering, Mathematics, or a closely related discipline.

English language requirements:

Applicants must meet the minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk/international/applicants/english/).

Bench fees required: No

Closing date of advert: 30th June 2026

Start date: April 2026, July 2026, October 2026

Full-time/part-time availability: Full-time 3 years

Fee band: 2025/26 Band RB (UK £5,006, International £28,600)

How to apply:

All applications should be made online. Under programme name, select Computer Science. Please quote the advertised reference number: CO/CZ-SF1/2026 in your application.

To avoid delays in processing your application, please ensure that you submit a CV and the minimum supporting documents.

The following selection criteria will be used by academic schools to help them make a decision on your application. Please note that this criteria is used for both funded and selffunded projects.

Please note, applications for this project are considered on an ongoing basis once submitted and the project may be withdrawn prior to the application deadline, if a suitable candidate is chosen for the project.

Project search terms:

artificial intelligence, computer science, software engineering, programming languages neuro-symbolic computing

Email Address Sci:

sci-pgr@lboro.ac.uk

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Qualifications

• We are seeking a skilled Principal Machine Learning Engineer for Applied AI with over 5 years of experience developing and scaling commercial machine learning systems, particularly in document understanding and data extraction

• You are an experienced builder who excels in integrating real-world functionalities with AI/ML engineering, utilizing your expertise to provide meaningful value to end-users

• Core Experience

• 4+ years in machine learning / AI engineering with proven end-to-end ownership of ML-driven products

• Demonstrated success in developing systems that deliver direct user value rather than research prototypes or internal tools

• Experience managing large, complex datasets and optimizing for accuracy, scalability, and reliability

• Proficient in building, measuring, and iterating on ML systems and ML-driven consumer or enterprise products

• Proficiency in Python and popular ML libraries (e.g., pandas, scikit-learn, spaCy, PyTorch, TensorFlow, Keras), as well as familiarity with cloud providers like GCP/AWS, container technologies (e.g., Docker, Kubernetes), and web application development (e.g., Flask, Django)

• Experience deploying or integrating LLMs, LLM APIs, Agents, and prompt engineering in production environments

• Strong Python skills and hands-on experience with ML infrastructure and data workflows

• Background in document understanding, OCR, or applied NLP

• Exposure to financial or tax-related data environments

• Prior experience in a startup or early-stage product environment

• Soft Skills

• Exceptional problem-solving abilities, curiosity, and product intuition

• Outstanding communication skills to engage directly with domain experts, translating complex needs into technical solutions

• Demonstrated growth trajectory through promotions or increased responsibilities

• 14 more items(s)

Benefits

• Compensation: Competitive base salary + bonus + equity

• Visa: Sponsorship available for outstanding candidates

Responsibilities

• They convert intricate tax documents into structured, actionable data within minutes, achieving over 99% accuracy on income lines and seamlessly integrating into Excel and API systems

• Work type: Full Time, 5 days a week On-Site

• This pivotal role will further enhance our client's GenAI-native platform for tax document processing, balancing the agility of a startup environment with support from a large multinational firm

• Develop and scale ML and product infrastructure driving intelligent tax document processing at production levels

• Design and optimize inference systems, dataset pipelines, and specific logic to enhance accuracy, speed, and quality as operations extend to millions of documents

• Collaborate with accountants and tax domain experts to understand workflows, challenges, and quality standards, translating insights into effective productized ML systems

• Integrate inference pipelines into a seamless user experience that transforms document processing for tax professionals

• Create expert systems encapsulating institutional tax knowledge into scalable, maintainable software components

• Conduct experiments, evaluate outcomes, and rapidly iterate on core ML metrics

• Work cross-functionally with product, engineering, and leadership teams to influence technical direction and product vision

• 7 more items(s)

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Job description

About the job: Principal Machine Learning Engineer for Applied AI

About Us

Catalyst Labs is a leading talent agency that specializes in Applied AI, Machine Learning, and Data Science. We excel in connecting exceptional talent with AI-first startups and established tech companies, helping them build advanced products powered by LLMs and generative AI. We collaborate closely with founders, CTOs, an...d Heads of AI to drive the next wave of intelligent solutions, from model optimization to productized AI workflows.

Our Client

Our client, based in San Francisco, is pioneering a GenAI-native platform that transforms the complex task of financial and tax document processing. They convert intricate tax documents into structured, actionable data within minutes, achieving over 99% accuracy on income lines and seamlessly integrating into Excel and API systems. Catering to sophisticated players in private wealth and asset management, their service enables rapid and insightful decision-making. With support from industry veterans, their team merges robust product craftsmanship with advanced machine learning capabilities.

Recently acquired by a global technology leader, this company represents the innovative spirit of a startup combined with the stability of an established enterprise. By joining their team, you'll work alongside proven builders who have successfully scaled products to acquisition, developing systems that manage billions of data points and employ GenAI to revolutionize financial data processing.

Location: Union Square, San Francisco

Work type: Full Time, 5 days a week On-Site.

Compensation: Competitive base salary + bonus + equity.

Visa: Sponsorship available for outstanding candidates.

What We Are Looking For

We are seeking a skilled Principal Machine Learning Engineer for Applied AI with over 5 years of experience developing and scaling commercial machine learning systems, particularly in document understanding and data extraction. You are an experienced builder who excels in integrating real-world functionalities with AI/ML engineering, utilizing your expertise to provide meaningful value to end-users.

This pivotal role will further enhance our client's GenAI-native platform for tax document processing, balancing the agility of a startup environment with support from a large multinational firm.

• Develop and scale ML and product infrastructure driving intelligent tax document processing at production levels.

• Design and optimize inference systems, dataset pipelines, and specific logic to enhance accuracy, speed, and quality as operations extend to millions of documents.

• Collaborate with accountants and tax domain experts to understand workflows, challenges, and quality standards, translating insights into effective productized ML systems.

• Integrate inference pipelines into a seamless user experience that transforms document processing for tax professionals.

• Create expert systems encapsulating institutional tax knowledge into scalable, maintainable software components.

• Conduct experiments, evaluate outcomes, and rapidly iterate on core ML metrics.

• Work cross-functionally with product, engineering, and leadership teams to influence technical direction and product vision.

Qualifications

Core Experience

• 4+ years in machine learning / AI engineering with proven end-to-end ownership of ML-driven products.

• Demonstrated success in developing systems that deliver direct user value rather than research prototypes or internal tools.

• Experience managing large, complex datasets and optimizing for accuracy, scalability, and reliability. Proficient in building, measuring, and iterating on ML systems and ML-driven consumer or enterprise products.

• Proficiency in Python and popular ML libraries (e.g., pandas, scikit-learn, spaCy, PyTorch, TensorFlow, Keras), as well as familiarity with cloud providers like GCP/AWS, container technologies (e.g., Docker, Kubernetes), and web application development (e.g., Flask, Django).

• Experience deploying or integrating LLMs, LLM APIs, Agents, and prompt engineering in production environments.

• Strong Python skills and hands-on experience with ML infrastructure and data workflows.

• Background in document understanding, OCR, or applied NLP.

• Exposure to financial or tax-related data environments.

• Prior experience in a startup or early-stage product environment.

Soft Skills

• Exceptional problem-solving abilities, curiosity, and product intuition.

• Outstanding communication skills to engage directly with domain experts, translating complex needs into technical solutions.

• Demonstrated growth trajectory through promotions or increased responsibilities.

This is an exciting opportunity for professionals eager to make a significant impact in the realm of applied AI and machine learning. We invite you to apply and become a part of our innovative team!

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Qualifications

• 5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications

• Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models

• Familiarity with Agentic AI concepts

• Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance

• Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex)

• Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain

• Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP)

• Strong analytical, problem-solving, and communication skills

• Experience with MLOps principles and tools

• Excellent collaboration skills

• Technology Stack

• Programming Languages: Python (expert proficiency required)

• Python Packages: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, and other relevant data science, machine learning, and web development libraries

• Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions (pgvector)

• Cloud Platforms: AWS, Azure, GCP

• MLOps Tools: MLflow, Kubeflow, or similar

• Containerization: Docker, Kubernetes

• CI/CD Tools: GitHub Actions, Jenkins, or similar

• Data Visualization & Reporting: Tableau, Power BI, matplotlib, seaborn

• Databases: SQL and NoSQL databases

• Bachelor’s degree/University degree or equivalent experience

• Please see the requirements listed above

• For complementary skills, please see above and/or contact the recruiter

• 20 more items(s)

Benefits

• $107,120.00 - $160,680.00

• In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards

• Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs

• Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

• 1 more items(s)

Responsibilities

• The Gen AI-ML Engineer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team

• The overall objective of this role is to contribute to applications systems analysis and programming activities

• Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting

• Explore and experiment with advanced GenAI concepts like Agentic AI

• Design and implement intelligent chatbots

• Process and analyze large datasets of structured and unstructured financial data

• Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain

• Develop and refine advanced prompting strategies for LLMs

• Test, evaluate, and analyze the performance of LLM and other GenAI models

• Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management

• Communicate effectively with business stakeholders

• Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI

• Deep Learning Frameworks: TensorFlow, PyTorch

• LLMs: Llama, Gemini, GPT-4, and other advanced LLMs

• Version Control: Git

• 12 more items(s)

More job highlights

Job description

Overview of the Role

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction serv...ices, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

The Gen AI-ML Engineer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Responsibilities

• Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI.

• Design and implement intelligent chatbots.

• Process and analyze large datasets of structured and unstructured financial data.

• Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain.

• Develop and refine advanced prompting strategies for LLMs.

• Test, evaluate, and analyze the performance of LLM and other GenAI models.

• Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management.

• Communicate effectively with business stakeholders.

• Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI.

Required Skills and Qualifications

• 5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications.

• Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts.

• Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance.

• Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex).

• Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain.

• Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP).

• Strong analytical, problem-solving, and communication skills.

• Experience with MLOps principles and tools.

• Excellent collaboration skills.

Technology Stack

• Programming Languages: Python (expert proficiency required)

• Python Packages: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, and other relevant data science, machine learning, and web development libraries.

• Deep Learning Frameworks: TensorFlow, PyTorch

• LLMs: Llama, Gemini, GPT-4, and other advanced LLMs.

• Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions (pgvector).

• Cloud Platforms: AWS, Azure, GCP

• MLOps Tools: MLflow, Kubeflow, or similar.

• Containerization: Docker, Kubernetes

• CI/CD Tools: GitHub Actions, Jenkins, or similar.

• Version Control: Git

• Data Visualization & Reporting: Tableau, Power BI, matplotlib, seaborn.

• Databases: SQL and NoSQL databases.

Education:

• Bachelor’s degree/University degree or equivalent experience

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location:

Irving Texas United States

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Primary Location Full Time Salary Range:

$107,120.00 - $160,680.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Apr 08, 2026

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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