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.

Requirements5+ 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 HaveMCP / FastMCP experience.

Vector search technologies (pgvector, Open

Search).

Databricks and PostgreSQL experience.

Advanced degree in AI, Computer Science, Mathematics, or a related field.