
## Full Description
Role: Senior GenAI (Agentic) Engineer

Location: India (Remote)

About the Role:

Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber Senior Generative AI Expert with proven hands‑on experience in building Agentic AI applications.

This role is ideal for someone who has 5 to 7+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool‑using LLMs, LangChain, AutoGPT, or similar frameworks.

Key Responsibilities:

• Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)

• Architect and implement multi-agent systems for enterprise‑grade solutions

• Integrate AI agents with APIs, databases, internal tools, and external SaaS products

• Lead and mentor a cross‑functional team across global time zones

• Optimize performance, context retention, tool usage, and cost efficiency

• Build reusable pipelines and modules to support GenAI use cases at scale

• Ensure enterprise‑grade security, privacy, and compliance standards in deployments

• Collaborate directly with clients and senior stakeholders

Ideal Candidate Profile:

• 5 to 8+ years of professional experience in software engineering and AI/ML

• 2+ years of practical experience in LLM‑based application development

• Strong track record of delivering Agentic AI systems (not just chatbot interfaces)

• Hands‑on experience with:

• LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel

• OpenAI, Claude, Gemini, Mistral, or Llama2

• Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)

• Prompt engineering, RAG, memory/context management

• Serverless, Python, , AWS/GCP/Azure cloud

• Experience leading engineering teams and working with enterprise clients

• Excellent communication, documentation, and stakeholder management skills

Why Join?

• Work on UAE Government AI initiatives

• Lead cutting‑edge Agentic AI projects at enterprise scale

• Collaborate with senior teams across US, Canada, UAE, India, and Pakistan

• Competitive compensation + long‑term career roadmap

Salary:45-50 LPA (and benefits including PF, Medical Insurance, Paid Leaves)

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## Full Description
Our client is at the forefront of innovation in Artificial Intelligence and is looking for a highly skilled Senior AI Research Scientist to lead cutting-edge research in Computer Vision. This is a unique opportunity to join a world-class team, pushing the boundaries of AI and developing groundbreaking solutions. This position is fully remote, allowing you to work from anywhere in the world.

In this role, you will be responsible for designing, developing, and implementing advanced computer vision algorithms and models. You will conduct in-depth research into areas such as image recognition, object detection, semantic segmentation, and generative models. You will play a pivotal role in defining the research roadmap, identifying new opportunities for AI applications, and collaborating with engineering teams to translate research into production-ready systems. A significant part of your work will involve staying current with the latest academic research and industry trends, publishing findings in top-tier conferences and journals, and mentoring junior researchers.

This role is entirely remote. Success hinges on your ability to collaborate effectively with a distributed team through advanced communication tools and methodologies. You will be expected to manage your research projects independently, maintain high productivity, and contribute actively to our client's vibrant research community. While you can work from any location, you must be able to align with core team working hours for critical collaborations and meetings.

Candidates must possess a PhD or equivalent in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong specialization in Computer Vision. A proven track record of impactful research, demonstrated by publications in leading AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) and significant contributions to open-source projects, is essential. Deep expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX is required. Proficiency in Python and extensive experience with relevant libraries (e.g., OpenCV, scikit-image) are mandatory. Experience with large-scale dataset training and distributed computing is highly desirable. Exceptional analytical, problem-solving, and critical thinking skills are expected. Strong communication and presentation skills to articulate complex technical concepts are vital.




## Full Description
Head of AI & Automations

About Us

GNO Partners was founded by Gal and Ouriel, who built and exited two successful Amazon brands.

We help Amazon FBA sellers scale their businesses by implementing our proven systems and strategies. Our fully remote team of experts has worked with over 600 brands in the last 3.5 years and is currently partnered with more than 300 active clients.

We are not a "Done-For-You" agency, but a consulting firm with a Done-With-You service model. We provide hands-on expertise to help our clients improve profits and revenues while integrating complete systems, processes, and frameworks so they can scale and manage their Amazon brand like top operators independently, without relying on us long-term.

The Role

We are looking for a Head of AI & Automations to take ownership of how AI and automation are implemented across the company.

We are looking for someone who can deeply understand how our teams work today, identify bottlenecks, errors, and inefficiencies, and then design practical AI-powered systems that improve output, accuracy, and speed across multiple departments.

You will work closely with leadership and department heads and will have a direct impact on operations, product, client delivery, and internal efficiency.

What You'll Be Working On

Brand Analysis Team

Our Brand Analysis department includes 10+ coordinators and handles large volumes of reports and data.

You will:

• Review and map existing workflows for downloading, uploading, and processing reports

• Identify where errors happen and why

• Reduce manual work and mistakes through automation and AI validation

• Design QA layers to improve data accuracy and consistency

• Introduce AI agents to assist with repetitive checks and processes

• Improve internal communication and handoffs

• Build clear dashboards and visualizations using tools like Google Looker Studio or similar solutions

The goal is a smoother, more reliable, and scalable analysis process.

CSM and Consultants Team

Our consultants work closely with clients and rely on internal knowledge, guides, and years of past client conversations.

You will:

• Build AI agents trained on our internal guides, documentation, datasets, and historical Slack conversations

• Structure and clean knowledge so it can be reliably used by AI systems

• Create internal tools that help consultants answer common client questions faster and more consistently

• Reduce repetitive explanations and manual knowledge lookup

The focus here is support, speed, and consistency, not replacing human judgment.

Product and PPC Optimization

We have several manual processes related to PPC optimization and product workflows.

You will:

• Identify repetitive or manual steps that can be automated in the current SOPs

• Implement AI-driven logic to improve efficiency and performance

• Work closely with product and performance teams to enhance our systems

Accounting and Finance

Our accounting workflows currently involve excessive manual effort and too many errors.

You will:

• Streamline accounting-related processes using automation

• Add AI-driven QA checks to catch mistakes early

• Improve reliability and clarity across finance operations

• Work closely with accounting stakeholders to ensure accuracy and compliance

Company Wiki and Internal AI Knowledge System

A major responsibility of this role will be to build and own a company-wide AI-powered wiki.

We want to take everything we've built internally over the years and turn it into a single, reliable source of truth that our teams can actually use.

This includes:

• Internal guides and documentation from GNO Partners, past and present

• Historical Slack discussions from the Consultants Team and Sales Team

• Internal processes, frameworks, and best practices

• Ongoing internal conversations and updates

You will:

• Design the structure of the company wiki for both Sales and CS teams

• Clean, organize, and maintain internal knowledge so it stays accurate and usable

• Build AI-powered interfaces that allow team members to ask questions in natural language

• Ensure answers are reliable, up to date, and easy to understand

• Continuously improve the system as new knowledge and discussions are created

The goal is for Sales, Consultants, and CS team members to ask questions directly in the company wiki and receive clear, consistent answers.

Ownership of Existing Automations

We already have a significant number of automations running across the company, and this role will take full ownership of them.

This includes automations built in , integrations with our CRM and sales systems, Slack workflows, internal notifications, group-based automations, and other cross-tool processes that are already live and critical to daily operations.

You will:

• Fully learn and document all existing automations

• Take end-to-end ownership of how they work, why they exist, and how they can be improved

• Be highly available on a daily basis to monitor, fix, and troubleshoot issues as they come up

• Improve reliability, reduce breakages, and simplify complex automation logic where possible

• Proactively identify weak points before they turn into problems

• Act as the main point of contact for anything related to automations across teams

This is a hands-on role. We are looking for someone who enjoys being close to the systems, understands how small failures can create big problems, and takes pride in making sure everything runs smoothly day to day.

Who We're Looking For

• Strong experience building AI-driven workflows and automation systems

• Someone who understands operations and processes, not just AI tools

• Hands-on experience with AI agents, LLMs, and workflow automation

• Comfortable working with data, validation logic, and QA systems

• Experience integrating multiple tools and software platforms

• Clear communicator who can work across teams

• Builder mindset with a focus on real impact and scalability

• Familiarity with basic coding concepts

• Hands-on experience with or similar automation platforms

Nice to Have

• Experience with Looker Studio or BI tools

• Background in analytics, operations, or performance marketing

• Experience working with internal knowledge bases or Slack data

• Familiarity with accounting or finance workflows

• Experience in fast-growing or remote-first companies

Why Join GNO

• High ownership role with company-wide impact

• Direct access to leadership and decision-makers

• Opportunity to build real, practical AI systems, not experiments

• Fully remote team and flexible environment

• Chance to shape how AI is used across a growing business




## Full Description
• Location: Remote

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.

We are seeking PhD-level Applied Physicists to challenge Large Language Models on their understanding of the physical world. You will work on university-level and research-level benchmarks in topics like quantum mechanics, electromagnetism, andthermodynamics. Your goal is to document failure modes in AI reasoning so we can ensure models respect the fundamental laws of the universe, such as conservation of energy and momentum. Work on high-impact projects while earning $40+/hour, fully remote, with flexible weekly hours.

Organization: Alignerr Position: Applied Physics Specialist - AI Content Evaluator Type: Hourly Contract Compensation: $40–$80 /hour Location: Remote Commitment: 10–40 hours/week

What You’ll Do

• Develop Complex Problems: Design advanced, open-ended physics problems (equivalent to PhD qualifying exams) that require multi-step logical reasoning and mathematical derivation.

• Author Ground-Truth Solutions: Create "golden responses" that provide rigorous, step-by-step solutions, ensuring that every physical constant and unit conversion is perfect.

• Technical Auditing: Evaluate AI-generated simulations and proofs for physical consistency. You will identify where a model "hallucinates" physics that violates first principles.

• Refine Reasoning: Provide structured feedback to improve the model’s ability to perform "Physics-Informed" reasoning, helping it understand constraints like boundary conditions and conservation laws.

Requirements

• Advanced Degree: PhD (completed or in the final stages) in Applied Physics, Physics, or a closely related field (e.g., Engineering Physics).

• Domain Expertise: Mastery of the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics.

• Analytical Writing: Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English.

• Precision: An uncompromising eye for detail regarding units, scientific notation, and the logical flow of a proof.

• No AI experience required

Preferred

• Prior experience with data annotation, data quality, or evaluation systems for scientific datasets

• Experience with tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)

Why Join Us

• Competitive pay and flexible remote work.

• Collaborate with a team working on cutting-edge AI projects.

• Exposure to advanced LLMs and how they’re trained.

• Freelance perks: autonomy, flexibility, and global collaboration.

• Potential for contract extension.

Application Process (Takes 15-20 min)

• Submit your resume

• Complete a short screening

• Project matching and onboarding

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




## Full Description
About Company

CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan’s fastest-growing AIfirms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.

Role Summary

We are seeking a Data Engineer to build and maintain scalable data infrastructure that supports model training, Retrieval-Augmented Generation (RAG) systems, and enterprise AI workflows.

Key Responsibilities

• Design and implement data ingestion, processing, and transformation pipelines.

• Prepare, curate, and optimize high-quality datasets for model training and retrieval systems.

• Support data governance, quality monitoring, and lineage tracking across AI data pipelines.

• Collaborate with AI and ML teams to ensure data readiness for production use cases.

Required Qualifications

• 5+ years of experience in data engineering with cloud-based ETL/ELT systems.

• Strong proficiency in SQL and Python.

• Experience with big data tools such as Apache Spark or equivalent frameworks.

• Hands-on experience handling large unstructured or semi-structured datasets.

Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, & performance. Female and minorities are strongly encouraged and preferred to apply for the role.

Why CodeNinja

• Work on impactful AI and enterprise-scale solutions.

• Collaborate with global, cross-functional engineering teams.

• Grow your skills in a fast-paced, innovation-driven environment.

• Provident Fund

• Gym Membership

• Leaves as per the company policy

• Company-paid trips

• Easy Loan Facility for Employees

• Yearly increment

• Maternity Benefits (Leaves & WFH)

• Health Insurance (Maternity covered) – includes spouse and parents (till age 80)




## Full Description
Our client is at the forefront of innovation and is seeking a brilliant and visionary AI Research Scientist specializing in Machine Learning to join their fully remote research team. This is an unparalleled opportunity to contribute to groundbreaking advancements in Artificial Intelligence, working from the convenience of your home office. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, AI, or a related quantitative field, with a strong publication record and hands-on experience in developing and deploying sophisticated ML models. You will be instrumental in conceptualizing, designing, and implementing novel AI algorithms and solutions to tackle complex real-world problems.

Responsibilities: Conduct cutting-edge research in machine learning, deep learning, and related AI fields. Develop and implement novel algorithms and models for various AI applications. Design and execute experiments to validate research hypotheses. Analyze large datasets to extract meaningful insights and train models. Collaborate with cross-functional teams to integrate AI solutions into products and services. Stay abreast of the latest advancements in AI research and publish findings in top-tier conferences and journals. Develop prototypes and proof-of-concepts for new AI technologies. Contribute to the strategic direction of AI research within the organization. Mentor junior researchers and interns. Evaluate and select appropriate tools and frameworks for AI development. Ensure the ethical and responsible development of AI systems. This role is based in **Ilorin, Kwara, NG**, but is offered as a completely remote position, allowing for exceptional work-life flexibility. We are seeking highly motivated individuals who are passionate about pushing the boundaries of AI and possess excellent problem-solving and communication skills. A strong theoretical understanding combined with practical implementation skills is essential. If you are ready to make a significant impact in the field of AI and thrive in a collaborative remote environment, we encourage you to apply.




## Full Description
About Us At SkyLabs AI Inc.

, we are at the forefront of the artificial intelligence revolution.

As a US-headquartered company, we conduct applied research on AI for intelligent reasoning.

We specialize in complex neurosymbolic AI to solve intricate problems within software engineering.

Our team is composed of world-class researchers and engineers dedicated to building the platforms and intelligent agents that will power the next generation of software.

If you are passionate about building truly intelligent systems and want to make a lasting impact, join us.

The Role We are seeking an exceptional Lead Fullstack Engineer to own the technical direction and development of our user-facing products, including our core IDE plugin.

This role is a unique blend of high-level frontend architecture, AI-native UX design, and deep collaboration with our AI and C++ tooling teams.

You will be responsible for leading the design of a high-performance, cross-IDE frontend that allows developers to interact with our AI agents.

This includes building UIs for streaming agent thoughts, visualizing complex code changes, and interacting with debuggers and profilers.

The ideal candidate is a seasoned frontend leader who has shipped production software, understands the C++ developer, and is excited to build the next generation of AI-powered developer tools.

What We Offer Competitive salary in USD Comprehensive health insurance allowance Relocation allowance (if you're moving to Islamabad) Monthly team events and offsites A beautiful, collaborative office space Work alongside world-class AI researchers and engineers Key Responsibilities Lead Frontend Architecture: Architect and lead the development of our core IDE plugin (initially for VS Code) and design an abstraction layer to support other IDEs (e.

g., CLion). Build AI-Native UIs: Design and build complex, high-performance interfaces for interacting with AI agents, including streaming log viewers, rich diff visualizers, and interactive prompt editors.

Integrate Developer Tools: Create UI components that can parse, display, and interact with C++ tooling, such as debugger state (call stacks, variables), profiler output (flame graphs), and build logs.

Collaborate & Define APIs: Work closely with AI and backend engineers to define robust API contracts (gRPC/REST) for agent communication, telemetry, and authentication.

Mentor & Guide: Lead and mentor a team of frontend engineers, setting the standard for code quality, testing, and development velocity.

Implement Telemetry: Design and implement privacy-conscious telemetry to capture user interactions and agent performance data to create feedback loops for our models.

Own the Product Lifecycle: Drive the frontend technical design, implementation, testing, deployment, and iteration from concept to production.

Qualifications & SkillsCore Profile: Lead Fullstack Engineer Expert in Frontend Development: Mastery of modern frontend technologies (e.

g., React, TypeScript, Vue) and complex application state management.

Working Knowledge/Experience of C++: Familiarity with the C++ development lifecycle, build systems (CMake), and debugging process.

This is essential for designing a UI that genuinely helps C++ developers.

Proven Leadership Qualities: Experience leading a frontend team, setting technical direction, mentoring junior developers, and collaborating with backend, AI, and product teams.

Have Built and Shipped Products: A strong portfolio of shipped products, demonstrating an ability to take a complex idea from concept to production.

Ideally, this includes experience in the AI or developer tools domain.

Specific Experience Required: 1.

IDE Plugin & Desktop Architecture IDE Extension Development: Direct experience building plugins for major IDEs, especially VS Code (TypeScript/JavaScript).

Familiarity with the plugin architecture for JetBrains CLion (Java/Kotlin) or Visual Studio (C#/.

NET) is a major asset.

Cross-IDE Abstraction: Proven ability to design and build frontend abstraction layers that allow a core UI to be "ported" or adapted to different IDE plugin frameworks without a full rewrite.

Language Server Protocol (LSP): Experience integrating with or implementing clients for the Language Server Protocol to handle features like symbol search, definitions, and references.

High-Performance UI: Building responsive, low-latency interfaces that can handle large files and real-time data streams (like build logs or agent thoughts) without degrading the IDE's performance.

2. Complex AI & Developer Tool UX AI-Native Interfaces: Designing and building UIs specifically for interacting with AI agents.

This includes: Streaming agent responses and "chain of thought" logs.

Visualizing and applying "surgical" code changes (e.

g., rich diff viewers, accept/reject buttons).

Creating chat and prompt interfaces for the agentic mode.

Developer Tool Integration: Creating the frontend for C++ specific tooling.

This means building UI components that can parse, display, and interact with: Debugger state (call stacks, variables, breakpoints).

Profiler output (flame graphs, performance reports).

Build System logs and errors.

Data Visualization: Experience with data visualization libraries (like D3.

js, react-flow, or similar) to build the interactive Formal Blueprint views, including system diagrams, file trees, and spec viewers.

3. Leadership & Product Engineering Cross-Functional Collaboration: A strong history of working closely with AI/ML engineers to understand model capabilities and limitations, and with backend engineers to define API contracts (for ACP/MCP support, auth, etc.

). Client-Side Telemetry: Experience implementing robust, privacy-conscious telemetry within a frontend application to capture user interactions and agent performance data for training.

Full Product Lifecycle: Leading the frontend technical design, implementation, testing, deployment, and iteration of a user-facing product.

Authentication & User Management: Integrating frontend clients with backend authentication services, managing user sessions, and handling role-based access to features.

Who You Are You are a builder at heart, driven by curiosity and a desire to solve hard problems.

You don't wait for instructions; you identify opportunities and seize them.

You are comfortable with ambiguity and thrive in a fast-paced, in-depth environment where you are encouraged to experiment and push boundaries.

You are a clear communicator who can articulate complex technical concepts and work collaboratively to achieve ambitious goals.




## Full Description
Our client, a pioneering technology firm at the forefront of AI innovation, is seeking a talented and forward-thinking AI Solutions Engineer to join their dynamic team in **Jos, Plateau, NG**. This role will involve designing, developing, and deploying AI-powered solutions that address complex business challenges for our diverse clientele. You will work with cutting-edge machine learning models, algorithms, and platforms, translating sophisticated concepts into practical, implementable solutions. The ideal candidate will possess a strong understanding of AI/ML principles, excellent programming skills, and a proven ability to deliver impactful AI applications.

Responsibilities:

Design, develop, and implement end-to-end AI and machine learning solutions tailored to client needs. Collaborate with clients and internal stakeholders to understand business requirements and translate them into technical specifications for AI systems. Build, train, and optimize machine learning models using various algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Develop data pipelines for data collection, preprocessing, and feature engineering. Integrate AI models into existing systems and applications, ensuring seamless functionality. Evaluate and select appropriate AI tools, technologies, and platforms for specific projects. Conduct rigorous testing and validation of AI solutions to ensure accuracy, reliability, and performance. Monitor the performance of deployed AI models and implement necessary updates and improvements. Stay current with the latest advancements in AI, machine learning, deep learning, and related fields. Document AI solution designs, implementation processes, and performance metrics. Provide technical expertise and support to clients and internal teams regarding AI solutions. Troubleshoot and resolve issues related to AI model performance and system integration. Contribute to the development of AI strategies and roadmaps. Present AI solutions and findings to technical and non-technical audiences. Foster a culture of innovation and continuous learning within the AI team. Qualifications:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field. Minimum of 4 years of experience in developing and deploying AI/ML solutions. Strong proficiency in programming languages such as Python, R, or Java. Hands-on experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). Solid understanding of core machine learning concepts, algorithms (e.g., regression, classification, clustering, deep learning), and statistical modeling. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services is a plus. Excellent problem-solving, analytical, and critical thinking skills. Strong communication and interpersonal skills, with the ability to articulate complex technical concepts. Experience working in a hybrid work environment, balancing on-site collaboration with remote flexibility. Knowledge of natural language processing (NLP), computer vision, or other specialized AI domains is an advantage. Ability to work effectively in a fast-paced, innovative environment. Join our client in **Jos, Plateau, NG** and be at the forefront of shaping the future with intelligent solutions. This is an excellent opportunity for an AI enthusiast ready to tackle challenging problems.




## Full Description
Our client is at the forefront of AI innovation and is seeking a brilliant and driven Principal AI Research Scientist specializing in Machine Learning to join their state-of-the-art research facility in **Kano, Kano, NG**. This role is designed for individuals with a passion for pushing the boundaries of artificial intelligence and making significant contributions to novel AI solutions. You will lead groundbreaking research projects, focusing on developing and implementing advanced machine learning algorithms, deep learning models, and artificial intelligence techniques. Your work will involve exploring new research avenues, formulating hypotheses, designing experiments, and rigorously evaluating results. The ideal candidate will possess a strong theoretical foundation in machine learning, a proven track record of publications in top-tier AI conferences or journals, and hands-on experience with large-scale datasets and distributed computing environments. You will collaborate with a world-class team of researchers and engineers, shaping the future of AI applications across various domains. This is an exceptional opportunity to make a tangible impact in a fast-paced, intellectually stimulating environment. Responsibilities include:

Leading the research and development of novel machine learning algorithms and AI models. Designing and conducting experiments to validate research hypotheses. Analyzing complex datasets to extract meaningful insights and identify patterns. Developing and implementing state-of-the-art deep learning architectures. Collaborating with engineering teams to transition research prototypes into production systems. Publishing research findings in leading AI conferences and journals. Mentoring junior researchers and contributing to the team's technical growth. Staying current with the latest advancements in AI, machine learning, and related fields. Presenting research outcomes to technical and non-technical audiences. Contributing to the intellectual property strategy of the organization.

Qualifications:

Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. 7+ years of relevant research experience in AI and Machine Learning. Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI). Deep expertise in various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning). Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch). Experience with big data technologies and distributed computing (e.g., Spark, Hadoop). Excellent analytical, critical thinking, and problem-solving abilities. Strong communication and presentation skills. Ability to work independently and as part of a collaborative research team.




## Full Description
We are seeking an exceptional talent with at least 4 years of relevant experience and a Master’s degree (in any discipline), who combines deep technical expertise with hands‑on engineering execution—capable of independently driving end‑to‑end AI solution development, from model R&D and scalable deployment to business integration and process optimization. The ideal candidate possesses strong capabilities across AI, process intelligence, big data analytics, machine learning, full‑stack engineering, and enterprise digital transformation, delivering reliable, production‑grade systems at scale.

Proficient in LLM architecture design and high-performance deployment, with hands‑on experience optimizing inference efficiency, memory footprint, quantization, and service‑level tuning for large-scale models (e.g., LLaMA, Qwen, ChatGLM).

Strong capability in AI Agent design and engineering, including autonomous decision-making logic, machine learning, multi-tool orchestration, contextual memory design, and real-world implementation.

Demonstrated ability to manage the full lifecycle of AI models, including version control, performance monitoring, and continuous iteration in production environments.

Process Mining & Business Process Intelligence

In-depth theoretical and practical understanding of Process Mining, with direct experience conducting database-level event log extraction, process discovery, conformance analysis, and anomaly detection at the database level.

Proven application experience in finance and manufacturing, able to translate process insights into actionable recommendations with measurable operational impact.

Certifications in Celonis process mining, AI, Cyclone Process, or equivalent are strongly preferred, demonstrating the ability to transform process analytics into robust technical and business solutions.

Strong backend engineering skills using FastAPI, Django, or similar frameworks to deliver scalable, high-throughput AI and data services.

Skilled with modern frontend technologies (React, Vue.js) to independently build intuitive, responsive, and production-ready AI product interfaces.

Proficient in designing data flow architectures, API frameworks, and integration patterns, ensuring seamless coordination between frontend and backend.

Data Governance & Large-Scale System Optimization

Extensive track record leading multi-million-scale data cleansing, restructuring, and quality enhancement projects, covering raw data ingestion, anomaly detection, schema modeling, and metadata management.

Ability to design and deliver holistic architectural solutions, from hardware resource planning (GPU clusters, storage systems) to software optimization (ETL pipelines, orchestration, workflow scheduling).

Technical Integration & Business-Driven Implementation

Hands‑on expertise in Nginx, Docker, Kubernetes for deploying, scaling, and securing mission-critical services, including load balancing, failover design, and disaster recovery.

Skilled in VBA automation, capable of integrating with Python scripts, databases, or web systems to build complete toolchains for financial reporting, automated workflows, and data processing.

Strong understanding of accounting principles and financial operations, enabling advanced AI use cases such as financial data governance, automated reconciliation, anomaly detection, and control enhancement.

Leadership, Ownership, and Continuous Learning

Actively tracks emerging technologies in AI, big data, and business process innovation, continuously expanding professional depth and breadth.

Demonstrates strong independent problem-solving ability, driving complex projects from concept to deployment with ownership, urgency, and high-quality execution.

How to Apply

Interested candidates are invited to submit the following materials to :

• Updated resume

• Portfolio or project examples (if applicable)

• List of relevant professional certifications (if any)

Please include the position title in the subject line.

Only shortlisted candidates will be contacted for further evaluation.

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## Full Description
Job Summary

We are seeking a talented and motivated Conversation AI Team Lead to join our Team. As a Conversation AI Team Lead, you will play a crucial role in designing, developing, and maintaining cutting-edge conversational AI systems that deliver exceptional user experiences. You'll collaborate with cross-functional teams to drive innovation, implement natural language processing (NLP) techniques, and contribute to the advancement of our conversation AI capabilities.

Responsibilities

Eliciting Business Requirements: Efficiently extract customer requisites pertaining to

Conversation AI solutions, and subsequently transform these requirements into meticulous

conversation designs utilizing industry-leading CDI best practices.

Constructing Conversation Flows: Leverage diverse technologies to construct conversation AI

flows that align seamlessly with client specifications and needs.

Data Processing: Collaborate with designers, linguistics and NLP analysts to preprocess and

curate training data, ensuring high-quality and diverse datasets for model training.

Model Training and Tuning: Train, fine-tune, and optimize NLP models using large datasets to

improve language understanding, and contextual responses.

Integration and Testing: Integrate NLP models into real-time conversation systems and conduct

thorough testing to ensure robustness, accuracy, and optimal performance.

Evaluate and optimize the performance of NLP models, including accuracy, precision, recall, and

overall user experience.

Research and Innovation: Stay updated with the latest advancements in NLP and AI, and

proactively bring innovative ideas to the team to improve the conversational AI experience.

Documentation: Create and maintain comprehensive documentation for models, processes, and

best practices, facilitating knowledge sharing within the team.

Requirements

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field, with

a focus on NLP, machine learning, or deep learning.

- Proven experience in developing and deploying NLP models, conversational agents, chatbots, or

similar applications.

- Familiarity with RESTful APIs, microservices architecture, and cloud platforms (AWS, GCP, or

Azure).

- Excellent problem-solving skills and the ability to analyze and optimize complex systems.

- Strong communication skills and the ability to collaborate effectively with multidisciplinary

teams.

- Experience with MS Composer, Kore.AI and Cognigy platforms is a plus



GenAI (Agentic) Engineer - Remote

Full Description