Senior Generative AI Engineer

• Develop and deploy production-grade ML and Generative AI solutions.
• Build reliable, scalable, and maintainable AI solutions from experimentation to production.
• Lead the design and support of practical Generative AI use cases such as LLM-powered applications, AI assistants, RAG, and agentic workflows.
• Work with Data Scientists, Data Engineers, Software Engineers, and domain experts to turn prototypes into production-ready solutions.
• Build CI/CD pipelines for ML and AI workflows, including data validation, feature engineering, model validation, prompt/version management, and drift detection.
• Use AI coding tools such as GitHub Copilot, Claude Code, Codex, OpenClaw, and similar platforms responsibly.
• Review, debug, test, and validate AI-generated code before using it in production.
• Mentor junior engineers and help teams use Generative AI tools effectively in their day-to-day engineering work.
• Communicate clearly with foreign clients and cross-functional teams.

Key Requirements

• Strong programming skills in Python, R, or similar languages.
• Practical experience building LLM-powered applications such as AI assistants, RAG systems, agentic workflows, or AI-assisted engineering tools.
• Experience with LLM APIs and/or locally hosted LLMs, including tools such as LM Studio, Ollama, vLLM, Hugging Face, Azure OpenAI or similar platforms.
• Experience with LangSmith, LangChain, LangGraph, foundation models, RAG, vector databases, or prompt evaluation.
• Hands-on experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Experience using AI coding assistants such as GitHub Copilot, Claude Code, Codex, OpenClaw, or similar tools.
• Ability to review, debug, test, and validate AI-generated code before using it in production.
• Solid understanding of statistics, probability, hypothesis testing, and experimental design.
• Strong problem-solving skills and good communication skills in English.
• Experience with agents, skills, AI coding workflows, or internal AI assistant development.

Nice To Have Requirements

• Familiarity with ML cloud services such as Azure Machine Learning, AWS, GCP, or similar.
• Experience with orchestration and containerization tools such as Docker, Kubernetes, Airflow, Kubeflow, or similar.
• Hands-on experience with MLOps, DevOps, model deployment, monitoring, and feedback loops.
• Good understanding of data engineering and ETL operations.
• Notable experience in Kaggle or other machine learning competitions.

What's in it for you?

• Very competitive salary and long-term benefits with excellent career opportunities in a focused and stable organization.
• Great opportunity to work with global companies.
• A healthy work environment with opportunity to learn from a number of highly skilled engineers.
• Weekend: Saturday and Sunday.

How would you apply?

If you believe you are the right candidate, then send your CV to career@relisource.com with this exact line as email's subject “LEAD_GENAI_31052026” by August 31, 2026.

IMPORTANT: Resume attached without above subject line will not be processed. Your CV must include your photograph.