What are the responsibilities and job description for the AI/ML Engineer (Onsite) position at W3Global?
Job Description
- Build and optimize data pipelines and analytics workflows leveraging Snowflake and Python
- Develop AI‑powered applications and internal tools using frameworks like LangGraph and LangSmith
- Integrate and operationalize LLM workflows, agents, and observability for AI systems
- Leverage modern AI‑assisted development tools (Claude Code, Cursor, Windsurf, GitHub Copilot) to accelerate delivery and maintain high code quality
- Implement Model Context Protocol (MCP) integrations for tool‑augmented and context‑aware AI applications
- Collaborate with product, data science, and DevOps teams to deliver end‑to‑end solutions
- Participate in architecture discussions, code reviews, and mentoring of junior engineers
- Added à Drive patterns for RAG, model orchestration, prompt engineering, and model evaluation.
- Added à Good working knowledge of Azure