Senior AI Engineer
Harvey Nash Technology
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.