## Qualifications
* Ideal candidates will have 5+ years in backend development with Go, Rust, or Python, and must excel in API design and cloud security
## Benefits
* Competitive salary and benefits offered for this onsite role
* #J-18808-Ljbffr
## Responsibilities
* You will work on innovative voice and real-time communication technology for critical industries
* With focus on building scalable systems and backend microservices, you’ll contribute to a fast-paced engineering environment

## Full Description
Position: Staff Backend Engineer - Real-Time AI Systems (Chicago Onsite)

A cutting-edge AI company is seeking a Senior Backend Engineer in Chicago. You will work on innovative voice and real-time communication technology for critical industries. With focus on building scalable systems and backend microservices, you’ll contribute to a fast-paced engineering environment. Ideal candidates will have 5+ years in backend development with Go, Rust, or Python, and must excel in API design and cloud security.

Competitive salary and benefits offered for this onsite role.

#J-18808-Ljbffr




## Full Description
Our client is a leader in harnessing the power of Artificial Intelligence and is seeking an accomplished Senior AI Solutions Architect to join their innovative team. This role, based in Yola, Adamawa, NG , offers a hybrid work model, combining the benefits of in-person collaboration with the flexibility of remote work. You will be responsible for designing, developing, and deploying cutting-edge AI solutions that solve complex business challenges. The ideal candidate possesses a strong technical background in AI/ML, a strategic mindset, and the ability to translate business needs into practical, scalable AI architectures.

Responsibilities:

Design and architect end-to-end AI/ML solutions tailored to specific business requirements. Evaluate and recommend appropriate AI/ML algorithms, frameworks, and tools for various projects. Develop proof-of-concepts and prototypes to demonstrate the feasibility and value of AI solutions. Collaborate closely with data scientists, engineers, and business stakeholders to understand needs and deliver effective solutions. Oversee the implementation and deployment of AI models into production environments. Ensure the scalability, reliability, and security of AI solutions. Provide technical leadership and guidance on AI best practices. Stay abreast of the latest advancements in AI, machine learning, deep learning, and related technologies. Develop technical documentation, including architecture diagrams, design specifications, and user guides. Conduct technical reviews and provide feedback on AI projects. Identify opportunities to leverage AI to improve business processes and drive innovation. Assess the performance of deployed AI models and recommend optimizations. Work with data engineers to define data requirements and pipelines for AI applications. Mentor junior team members and contribute to the growth of the AI practice. Contribute to the development of AI strategy and roadmap. Qualifications:

Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 7+ years of experience in AI/ML development and architecture. Proven experience designing and implementing complex AI solutions in production. Deep understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI concepts. Proficiency in programming languages such as Python, R, or Java. Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services. Strong knowledge of data processing, data warehousing, and big data technologies. Excellent analytical, problem-solving, and communication skills. Ability to translate complex technical concepts to non-technical audiences. Experience with MLOps principles and practices is highly desirable. Demonstrated ability to lead technical initiatives and collaborate effectively with cross-functional teams. Join our client's innovative team and help shape the future with AI. This role offers a unique opportunity to work on challenging projects and drive technological advancements.



## Qualifications
* Proven experience as an ex-founder or early GTM leader who has scaled a startup from $0 to $1M+ ARR
* Deeply networked within the San Francisco tech ecosystem with existing ties to founders and VCs
* High-agency hustler who thrives in ambiguous, 0-to-1 environments without needing a pre-defined structure
## Benefits
* Salary:$
* 180k-$300k + Equity
## Responsibilities
* Drive demand through exclusive community events, founder dinners, and infiltrating the local tech ecosystem
* Act as the primary Account Executive on the ground to pitch, navigate objections, and close enterprise deals
* White-glove early customer onboarding while manually reviewing roles to ensure platform liquidity and success

## Full Description
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network.The next step is to [speak to Jack](https://jackandjill.ai/jack/job-listing?utm_source=job_listing&utm_medium=job_board&utm_campaign=e4d6d9e1-2126-4186-bb08-daeb3a3a515f)

SF Launch Lead ($180k-$300k + Equity) at VC-backed AI agents startup

Salary:$180k-$300k + Equity

As the SF Launch Lead, you will spearhead our expansion into the world’s most critical tech market. This 0→1 role tasks you with building a massive candidate base and onboarding hundreds of companies. You will own the entire GTM motion, from demand generation to closing flagship customers and establishing our brand presence.

Location: San Francisco, USA

Why this role is remarkable:

• Join a high-performance team of ex-founders building the next generation of labor market infrastructure.

• Backed by top-tier VCs with rapid revenue growth and tens of thousands of early adopters.

• High-agency ownership where you act as the regional founder, shaping the playbook for future global expansion.

What you will do:

• Drive demand through exclusive community events, founder dinners, and infiltrating the local tech ecosystem.

• Act as the primary Account Executive on the ground to pitch, navigate objections, and close enterprise deals.

• White-glove early customer onboarding while manually reviewing roles to ensure platform liquidity and success.

The ideal candidate:

• Proven experience as an ex-founder or early GTM leader who has scaled a startup from $0 to $1M+ ARR.

• Deeply networked within the San Francisco tech ecosystem with existing ties to founders and VCs.

• High-agency hustler who thrives in ambiguous, 0-to-1 environments without needing a pre-defined structure.

Who are Jack & Jill?

Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

Next steps

Step 1. Visit [our website](https://jackandjill.ai/jack/job-listing?utm_source=job_listing&utm_medium=job_board&utm_campaign=e4d6d9e1-2126-4186-bb08-daeb3a3a515f).

Step 2. Click 'Talk to Jack'.

Step 3. Talk to Jack so he can understand your experience and ambitions.

Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.

Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.

Step 6. If not, Jack will find you excellent alternatives. All for free.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.




## Full Description
Our client, a cutting-edge research and development firm at the forefront of AI and emerging technologies, is seeking a brilliant and innovative AI Research Scientist specializing in Machine Learning. This role is essential for pushing the boundaries of artificial intelligence and developing next-generation ML models. You will be responsible for conceptualizing, designing, and implementing advanced machine learning algorithms to solve complex real-world problems across various domains. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with a strong publication record in top-tier AI conferences and journals. Proven experience in deep learning frameworks (e.g., TensorFlow, PyTorch), natural language processing (NLP), computer vision, or reinforcement learning is required. You should have excellent programming skills in Python and a deep understanding of mathematical and statistical principles underlying ML. This position involves collaborating with a world-class team of researchers and engineers, conducting rigorous experimentation, and contributing to the scientific advancement of AI. The ability to think critically, solve challenging problems creatively, and communicate complex technical concepts effectively is paramount. We are looking for passionate individuals eager to make significant contributions to the field of artificial intelligence and develop groundbreaking technologies. This role offers a unique opportunity to work on challenging projects, access state-of-the-art resources, and shape the future of AI. Your research will have a direct impact on developing intelligent systems that can understand, learn, and adapt.

Key Responsibilities:

Conduct cutting-edge research in machine learning and artificial intelligence. Design, develop, and implement novel ML algorithms and models for various applications. Explore and evaluate new AI techniques and technologies to solve complex problems. Collaborate with a team of researchers and engineers on ambitious R&D projects. Process and analyze large datasets to train and validate ML models. Write high-quality research papers for publication in top AI conferences and journals. Develop prototypes and proof-of-concepts for new AI-driven features and products. Stay abreast of the latest advancements in the field of AI and machine learning. Contribute to the intellectual property and innovation pipeline of the company. Present research findings and technical solutions to both technical and non-technical audiences. Qualifications:

Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field. Demonstrated research experience with a strong publication record in leading AI venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL). Expertise in one or more areas of machine learning, such as deep learning, NLP, computer vision, reinforcement learning, or probabilistic modeling. Proficiency in programming languages commonly used in AI research, particularly Python. Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Strong foundation in mathematics, statistics, and algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to work independently and collaboratively in a fast-paced research environment. Strong communication and presentation skills. Experience with large-scale data processing and distributed computing is a plus. This position is based in our innovation hub, offering remote work flexibility to individuals located in or willing to work from Kano, Kano, NG , or other suitable remote locations. We offer a highly competitive salary, generous research funding, and the opportunity to work on groundbreaking AI projects.



## Qualifications
* 8+ years of professional product design experience in fast-paced, high-growth environments
* Strong interaction design instincts and refined visual design sensibility
* Deep understanding of design systems and scalable visual languages
* Proven ability to turn complex problems into simple, intuitive experiences
* Experience running user research and translating insights into design decisions
* Excellent communication, storytelling, and cross‑functional collaboration skills
* Design System + Visual Refinement – ~20%
* User Research & Prototyping – ~10%
## Benefits
* Comprehensive health, dental, and vision insurance
* Company-sponsored retirement plan and competitive 401(k) match
* Paid parental leave
* Flexible time off
* Growth and development opportunities, including an annual professional development stipend
* Lunch and dinner provided daily in the office
## Responsibilities
* This is a high-impact design role for someone who thrives in ambiguity, sweats the details, and raises the design bar through collaboration, rigor, and taste
* Lead the design of end-to-end product experiences — from concept to polished execution
* Collaborate closely with PMs, engineers, and AI researchers to translate strategy into user-centered solutions
* Shape and evolve the design system for cohesion and scalability
* Conduct and synthesize user research to inform design priorities
* Develop high-fidelity prototypes to validate workflows and interactions
* Champion thoughtful, intentional design decisions at every stage
* Help define and advance best practices for designing with AI
* AI & Agentic Interfaces – ~40%
* Product Experience Design / Interaction Flows – ~30%

## Full Description
Position: Staff Level Product Designer / Hybrid – San Francisco / AI B2B SaaS

Staff Product Designer

Location:

Hybrid in San Francisco

Employment Type:

Full-time

Opportunity

A new legal tech group is reimagining how professional services operate — not incrementally, but end-to-end. Combining frontier-level agentic AI, an enterprise-grade platform, and deep domain expertise, they’re transforming how complex knowledge work gets done for decades to come. With a strong client base and world-class investor backing, the company is scaling fast and defining a new category in real time.

Why

You’ll Want This Role

You’ll join a sharp, mission-driven team building the future of work in an environment that moves fast, values ownership, and rewards craft. As a Staff Product Designer, you’ll take end-to-end ownership of key product experiences — working alongside engineers, AI researchers, PMs, and legal experts to design intuitive, trustworthy, and powerful AI-driven interfaces. This is a high-impact design role for someone who thrives in ambiguity, sweats the details, and raises the design bar through collaboration, rigor, and taste.

Required

Skills & Experience

• 8+ years of professional product design experience in fast-paced, high-growth environments

• Strong interaction design instincts and refined visual design sensibility

• Deep understanding of design systems and scalable visual languages

• Proven ability to turn complex problems into simple, intuitive experiences

• Experience running user research and translating insights into design decisions

• Excellent communication, storytelling, and cross‑functional collaboration skills

Desired Skills & Experience

• Experience designing AI-powered or data-intensive products

• Background in SaaS, productivity tools, or professional‑services tech

• Strong grasp of accessibility, usability testing, and interaction patterns for trust-based workflows

• Passion for building design cultures and mentoring peers

What You’ll Be Doing

• Lead the design of end-to-end product experiences — from concept to polished execution

• Collaborate closely with PMs, engineers, and AI researchers to translate strategy into user-centered solutions

• Shape and evolve the design system for cohesion and scalability

• Conduct and synthesize user research to inform design priorities

• Develop high-fidelity prototypes to validate workflows and interactions

• Champion thoughtful, intentional design decisions at every stage

• Help define and advance best practices for designing with AI

Tech Breakdown

• AI & Agentic Interfaces – ~40%

• Product Experience Design / Interaction Flows – ~30%

• Design System + Visual Refinement – ~20%

• User Research & Prototyping – ~10%

Benefits

• Comprehensive health, dental, and vision insurance

• Company-sponsored retirement plan and competitive 401(k) match

• Paid parental leave

• Flexible time off

• Growth and development opportunities, including an annual professional development stipend

• Lunch and dinner provided daily in the office

Motion Recruitment

#J-18808-Ljbffr




## Full Description
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions.

With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview We are seeking an experienced Engineer (5+ years of experience) with strong Python scripting skills and hands-on experience working exclusively with Large Language Models (LLMs) and state-of-the-art (SOTA) agent-based systems .

The ideal candidate has built, experimented with, and scaled LLM-driven solutions, and is comfortable working with web scraping and data ingestion pipelines to support AI applications.

Duration: 6+ months Commitment: 40h/week, 4h/day overlap with PST Model: Contract, time and material Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico Interview Process: Technical Interview with live coding challenge focused on Python (60 mins) + Technical/Cultural Interview Key Responsibilities Develop and maintain Python-based scripts and services for LLM- and agent-driven systems Design, build, and optimize SOTA LLM workflows and autonomous agent architectures Implement and maintain web scraping pipelines for structured and unstructured data collection Analyze, debug, and improve agent behavior, prompt logic, and system reliability Integrate LLM-based components into end-to-end application workflows Ensure code quality, performance, and maintainability of AI-focused systems Stay current with advancements in LLMs, agent frameworks, and applied AI techniques Work in a fully remote environment.

Opportunity to work on cutting-edge AI projects with leading LLM companies.

5+ years of professional experience as a software engineer Strong proficiency in Python scripting and development Hands-on experience working primarily or exclusively with LLMs and SOTA agent systems Experience with web scraping, data extraction, and preprocessing Strong debugging, analytical, and problem-solving skills High attention to detail and code quality




## Full Description
Our client is at the forefront of AI innovation and is seeking a brilliant AI Research Scientist specializing in Computer Vision to join their dynamic team in Calabar, Cross River, NG . This hybrid role offers the opportunity to conduct cutting-edge research and development in areas such as image recognition, object detection, semantic segmentation, and generative models. You will be instrumentalin designing, implementing, and evaluating novel algorithms and systems that push the boundaries of artificial intelligence. The ideal candidate possesses a strong theoretical foundation in machine learning and deep learning, coupled with practical experience in deploying AI models in real-world applications.

Responsibilities: Conduct original research in computer vision and deep learning, identifying new research directions and opportunities. Develop and implement state-of-the-art computer vision algorithms and models. Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into practical solutions. Design and execute experiments to evaluate model performance and identify areas for improvement. Publish research findings in top-tier academic conferences and journals. Stay current with the latest advancements in AI, machine learning, and computer vision. Mentor junior researchers and engineers. Contribute to the company's intellectual property through patents and publications. Work on diverse datasets and contribute to the development of robust and scalable AI systems. Qualifications: Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field with a strong focus on computer vision and machine learning. Demonstrated experience in developing and deploying deep learning models for computer vision tasks (e.g., CNNs, Transformers). Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of mathematical concepts underlying machine learning algorithms. Excellent problem-solving skills and analytical thinking. Ability to work effectively in a collaborative and fast-paced research environment. Strong written and verbal communication skills. Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. Familiarity with data augmentation techniques and handling large-scale datasets. This hybrid position offers a competitive compensation package, excellent benefits, and the chance to make a significant impact in the field of Artificial Intelligence. Join us and contribute to shaping the future of AI.




## Full Description
Our client is looking for a pioneering Principal Research Scientist with expertise in Artificial Intelligence and Machine Learning to spearhead innovative research initiatives. This fully remote position offers the opportunity to work on cutting-edge projects that will define the future of our client's technological advancements. You will be instrumental in conceptualizing, designing, and implementing advanced AI/ML models and algorithms to solve complex real-world problems. Your responsibilities will include leading research teams, collaborating with cross-functional engineering groups, and publishing findings in leading scientific journals and conferences. You will guide the development of novel approaches and contribute to intellectual property generation.

The ideal candidate will possess a Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related quantitative field, with a strong emphasis on AI and ML. A minimum of 10 years of research experience in academia or industry, with a proven track record of significant contributions to the AI/ML community, is required. Deep understanding of various ML paradigms, including deep learning, reinforcement learning, natural language processing, and computer vision, is essential. Proficiency in programming languages such as Python and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch) are mandatory. You should have experience leading research projects from ideation through to proof-of-concept and potential product integration. Excellent problem-solving, analytical, and critical thinking skills are a must. The ability to mentor junior researchers and foster a collaborative research environment is also crucial.

As a remote-first employee, you will be expected to communicate effectively through written and verbal channels, proactively engage with colleagues, and manage your time efficiently to meet project milestones. This role demands a passion for scientific discovery, a commitment to rigor, and the drive to push the boundaries of AI and machine learning. This is an unparalleled opportunity for an accomplished researcher to make a profound impact on technological innovation, working with a world-class team from the comfort of their own location.



## Qualifications
* You would be one of the first engineers at Tau, working closely with the founders to design and build the core learning systems
* Strong practical experience building software infrastructure
* Experience implementing and debugging distributed systems
* Extensive experience in Python and at least one deep learning library such as PyTorch or JAX
* Ideally experienced in implementing scalable training pipelines for world-model-based RL
## Responsibilities
* This makes it possible to learn reliable behaviors and improve beyond human performance limits
* As a founding engineer, you will design and build core systems while helping shape the technical direction from the ground up
* Build data pipelines that scale to 100k+ hours of multimodal robot data
* Scale pre- and post-training runs on 1000s of GPUs
* Improve inference efficiency on low-power embedded systems
* Lead core architectural decisions, help define the long-term technical roadmap, and set engineering standards from the beginning

## Full Description
This is a founding engineer role.

You would be one of the first engineers at Tau, working closely with the founders to design and build the core learning systems. This role comes with significant technical ownership and meaningful equity.

We are building a general AI for humanoid robots that learns in the real world with minimal human supervision. Our approach is based on world-model-based reinforcement learning trained on large-scale data that is practical to collect. This makes it possible to learn reliable behaviors and improve beyond human performance limits. As a founding engineer, you will design and build core systems while helping shape the technical direction from the ground up.

Responsibilities

• Build data pipelines that scale to 100k+ hours of multimodal robot data

• Scale pre- and post-training runs on 1000s of GPUs

• Improve inference efficiency on low-power embedded systems

• Lead core architectural decisions, help define the long-term technical roadmap, and set engineering standards from the beginning

Qualifications

• Strong practical experience building software infrastructure

• Experience implementing and debugging distributed systems

• Extensive experience in Python and at least one deep learning library such as PyTorch or JAX

• Ideally experienced in implementing scalable training pipelines for world-model-based RL

• Experience with systems programming languages (e.g. Rust, C++) is a plus

We’re a small, focused team, and as an early engineering hire you’ll have outsized impact on both the technical direction and the company’s trajectory, with equity that reflects your role in building Tau from the ground up.



## Qualifications
* Creative decisions stay consistent across shots and revisions
* Strong taste and clear point of view
* Ability to simplify: find the one idea and protect it
* Practical understanding of AIs strengths and limits in production
* Ad agency, studio, or strong freelance background
* Experience building repeatable creative systems (templates, playbooks, QC)
* Editing literacy (pacing, sound, timing), even if you dont cut every piece
## Responsibilities
* You turn briefs into clear concepts, strong stories, and work that feels like great filmmaking
* You lead the creative process, set the bar, and help the team ship
* Lead creative from brief to final delivery
* Define the core idea, narrative, tone, and visual language for each project
* Set the creative approach for AI workflows (what to generate, what to design, what to edit)
* Guide scripting, storyboards, and production plans
* Direct reviews and feedback cycles
* Keep work aligned and moving
* Present concepts and creative rationale to clients
* Translate notes into clear next steps
* Maintain creative quality and consistency across a slate of work
* Projects ship on time without quality drifting
* Report directly to CEO
* Own creative standards across projects
* Help shape how we scale creative output without losing quality

## Full Description
You own the creative vision for AI-assisted ads. You turn briefs into clear concepts, strong stories, and work that feels like great filmmaking. You lead the creative process, set the bar, and help the team ship.

What youll do

• Lead creative from brief to final delivery.

• Define the core idea, narrative, tone, and visual language for each project.

• Set the creative approach for AI workflows (what to generate, what to design, what to edit).

• Guide scripting, storyboards, and production plans.

• Direct reviews and feedback cycles. Keep work aligned and moving.

• Present concepts and creative rationale to clients. Translate notes into clear next steps.

• Maintain creative quality and consistency across a slate of work.

What success looks like

• We compare our work to great films and ads, and not ads made by AI.

• Concepts are simple, clear, and worth making.

• Creative decisions stay consistent across shots and revisions.

• Projects ship on time without quality drifting.

• The team knows what great looks like because you define it.

What were looking for

• Strong taste and clear point of view.

• Ability to simplify: find the one idea and protect it.

• Practical understanding of AIs strengths and limits in production.

Nice to have

• Ad agency, studio, or strong freelance background.

• Experience building repeatable creative systems (templates, playbooks, QC).

• Editing literacy (pacing, sound, timing), even if you dont cut every piece.

Scope

• Report directly to CEO.

• Own creative standards across projects.

• Help shape how we scale creative output without losing quality.

Seniority level

Director

Employment type

Full-time

Job function

Design, Art/Creative, and Information Technology

Industry

Software Development

#J-18808-Ljbffr



## Qualifications
* You are a builder and problem solver at heart who loves working in fast-paced, innovative environments
* You have experience working in consumer technology companies and have also worked on products that deal with complex data and systems
* You love start-ups and can operate autonomously knowing that collaboration is the key to your success
* 5+ years of experience in machine learning engineering, with a focus on production ML systems
* Strong proficiency in Python and AI/LLM frameworks (LangChain, LangGraph, AutoGen, CrewAI)
* Experience designing and implementing production-grade ML pipelines
* Proven track record of deploying ML/LLM solutions in production environments
* Strong understanding of ML fundamentals, including deep learning, NLP, and statistical modeling
* Experience with ML ops tools and best practices
* Proficiency in working with large-scale datasets and distributed computing
* Strong software engineering skills and coding best practices
* Degree in Computer Science or equivalent degree
* A commitment to empathy and diversity, recognizing that our greatest strengths come from our varied perspectives and experiences
## Benefits
* The chance to work on pioneering AI technologies and solve complex problems that push the boundaries of what’s possible in healthcare
* The freedom to lead your projects and shape the company’s direction in a mission-driven environment where your work makes a real impact
* A fast-paced, high-growth setting that brings expanding opportunities and clear paths for career progression
* A supportive culture of learning, experimentation, and innovation, where new ideas are encouraged and explored
* Regular team activities and knowledge sharing, all within a culture that prioritizes well-being and connection
* Additional Perks
* Competitive salary + equity package
* Comprehensive health, dental, and vision insurance
* Unlimited paid time off, including a generous parental leave
* Flexible hybrid work environment
* Compensation Range: $150K - $300K
## Responsibilities
* This role is crucial in designing and implementing sophisticated machine learning models that transform complex health data into actionable insights for patients, healthcare providers, and researchers
* As a key technical leader, you'll be at the forefront of applying advanced machine learning techniques to solve challenging problems in rare disease research and patient care
* Your work will be instrumental in developing AI-driven solutions that improve disease understanding, treatment recommendations, and patient outcomes
* Design and implement end-to-end machine learning solutions, from data preprocessing to model deployment and monitoring
* Develop and optimize agentic Large Language Models (LLMs) solutions for healthcare applications using techniques like fine-tuning and Retrieval-Augmented Generation (RAG)
* Create robust data pipelines for validation, and deployment
* Implement ML systems that can effectively process and analyze diverse healthcare data types, including structured clinical data, medical imaging, and unstructured text
* Collaborate with backend engineers to integrate ML models into our production infrastructure
* Ensure ML systems meet strict healthcare compliance requirements while maintaining high performance
* Design and implement monitoring systems for model performance, data drift, and system health
* Lead research initiatives to explore and implement state-of-the-art AI/ML techniques
* Collaborate with clinical experts to validate model outputs and ensure medical accuracy
* Stay current with the latest developments in AI/ML, particularly in healthcare applications

## Full Description
Who We Are

Citizen Health was founded on the belief — shaped by firsthand lived experiences navigating healthcare — that having the right advocate is the single most important factor in achieving better care and outcomes. By uniquely combining data, AI, and community, Citizen is building a personalized AI advocate powered by patients' complete medical histories and data from thousands of other patients to generate personalized insights for clinical decisions and day-to-day challenges. Starting in rare and complex conditions, patients share their data in exchange for value, enabling biopharma and researchers with seamless access to patients and regulatory-grade data, shaving years off drug development for much-needed treatments.

Citizen is founded by experienced entrepreneurs with multiple successes under their belts and is funded by top-tier investors including 8VC, Transformation Capital, and Headline Ventures, among others. We are a mission-driven team excited to be building the future of consumer healthcare.

The Role

Citizen Health is seeking AI/Machine Learning Engineers to lead the development and deployment of cutting-edge AI solutions that power our patient-centric platform. This role is crucial in designing and implementing sophisticated machine learning models that transform complex health data into actionable insights for patients, healthcare providers, and researchers.

As a key technical leader, you'll be at the forefront of applying advanced machine learning techniques to solve challenging problems in rare disease research and patient care. Your work will be instrumental in developing AI-driven solutions that improve disease understanding, treatment recommendations, and patient outcomes.

Responsibilities

• Design and implement end-to-end machine learning solutions, from data preprocessing to model deployment and monitoring

• Develop and optimize agentic Large Language Models (LLMs) solutions for healthcare applications using techniques like fine-tuning and Retrieval-Augmented Generation (RAG)

• Create robust data pipelines for validation, and deployment

• Implement ML systems that can effectively process and analyze diverse healthcare data types, including structured clinical data, medical imaging, and unstructured text

• Collaborate with backend engineers to integrate ML models into our production infrastructure

• Ensure ML systems meet strict healthcare compliance requirements while maintaining high performance

• Design and implement monitoring systems for model performance, data drift, and system health

• Lead research initiatives to explore and implement state-of-the-art AI/ML techniques

• Collaborate with clinical experts to validate model outputs and ensure medical accuracy

• Stay current with the latest developments in AI/ML, particularly in healthcare applications

Who You Are

You are a builder and problem solver at heart who loves working in fast-paced, innovative environments. You have experience working in consumer technology companies and have also worked on products that deal with complex data and systems. You love start-ups and can operate autonomously knowing that collaboration is the key to your success.

Must-Have Skills

• 5+ years of experience in machine learning engineering, with a focus on production ML systems

• Strong proficiency in Python and AI/LLM frameworks (LangChain, LangGraph, AutoGen, CrewAI)

• Experience designing and implementing production-grade ML pipelines

• Proven track record of deploying ML/LLM solutions in production environments

• Strong understanding of ML fundamentals, including deep learning, NLP, and statistical modeling

• Experience with ML ops tools and best practices

• Proficiency in working with large-scale datasets and distributed computing

• Strong software engineering skills and coding best practices

• Degree in Computer Science or equivalent degree

Preferred Skills

• Hands-on experience integrating and optimizing Large Language Models (LLMs) in production environments

• Proficiency with LLM tools and techniques such as LangChain, LlamaIndex, Prompt Engineering

• Experience implementing Retrieval-Augmented Generation (RAG) systems

• Familiarity with vector databases and efficient similarity search techniques for AI applications

• Experience with message queuing systems and data streaming platforms

• Familiarity with data processing and analytics technologies

• Proven track record of high-quality coding and architectural design

• Passion for creating robust, scalable, AI-driven systems that make a real-world impact in healthcare

Why Join Us?

At Citizen Health, you will be part of an ambitious mission to build innovative AI-driven solutions that redefine the consumer healthcare experience and improve outcomes for millions. We value curiosity, creativity, and collaboration, and we believe in empowering every team member to have an impact. Here, you’ll find:

• The chance to work on pioneering AI technologies and solve complex problems that push the boundaries of what’s possible in healthcare

• The freedom to lead your projects and shape the company’s direction in a mission-driven environment where your work makes a real impact

• A fast-paced, high-growth setting that brings expanding opportunities and clear paths for career progression

• A supportive culture of learning, experimentation, and innovation, where new ideas are encouraged and explored

• A commitment to empathy and diversity, recognizing that our greatest strengths come from our varied perspectives and experiences

• Regular team activities and knowledge sharing, all within a culture that prioritizes well-being and connection

Additional Perks

• Competitive salary + equity package

• Comprehensive health, dental, and vision insurance

• Unlimited paid time off, including a generous parental leave

• Flexible hybrid work environment

Our Commitment to Diversity & Inclusion: Citizen Health is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants of all backgrounds, identities, and experiences. Everyone deserves an equal chance to contribute and grow here — regardless of race, gender identity, sexual orientation, religion, national origin, age, disability, or veteran status.

Don't meet every qualification? No worries! We believe that passion, curiosity, and the right mindset are just as important as a checklist of skills. If you’re excited about what we’re building, we encourage you to apply.

Compensation Range: $150K - $300K



Backend Engineer - AI Systems; Chicago Onsite

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