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.