Senior AI Engineer

Responsibilities

• Build and scale GenAI solutions from PoC to production.
• Develop AI agents, agentic workflows, MCP servers, and AI-powered APIs.
• Design and implement RAG and text-to-SQL solutions.
• Develop cloud-native services using Python and FastAPI.
• Deploy and operate solutions on AWS and Azure.
• Implement CI/CD, monitoring, evaluation frameworks, and AI governance controls.
• Collaborate with Data Science, Product, Architecture, and Engineering teams.
• Drive engineering best practices through code reviews and mentoring.

Requirements

• 5+ years of experience in AI, ML, or Software Engineering.
• Strong Python development skills and experience building production APIs.
• Hands-on experience with LLMs, embeddings, RAG, AI agents, and frameworks such as LangChain or LangGraph.
• Experience with AWS and/or Azure cloud platforms.
• Strong knowledge of Docker, CI/CD, GitHub Actions, and Infrastructure as Code.
• Understanding of observability, monitoring, security, and scalable system design.
• Strong communication skills and fluent English.

Nice to Have

• MCP / FastMCP experience.
• Vector search technologies (pgvector, OpenSearch).
• Databricks and PostgreSQL experience.
• Advanced degree in AI, Computer Science, Mathematics, or a related field.