Job Description & Details
This is a hands-on technical role focused on building cutting-edge conversational AI systems and autonomous agents. If you enjoy moving past basic API wrappers and want to design production-grade agentic workflows, this gig gives you the technical depth to actually build cool stuff.
What You'll Actually Be Doing
Your day-to-day will revolve around architecting, building, and deploying conversational agents using modern frameworks. You'll spend a lot of time engineering RAG pipelines, ensuring low latency, and setting up robust observability and evaluations to track model drift and response accuracy. Expect to write plenty of Python code, build out Model Context Protocol (MCP) servers, and collaborate closely with delivery teams to ensure these AI systems hold up under real-world enterprise pressure.
The Core Tech Stack
You need absolute fluency in Python and hands-on experience building agents using tools like ADK and LangChain. A solid grasp of Retrieval-Augmented Generation (RAG) is non-negotiable, and if you've worked with Neo4j for knowledge graphs, you're immediately moving to the top of the stack. You'll also need to be comfortable with pytest for rigorous testing, alongside setting up proper LLM evals and observability platforms.
Interview Expectations
Expect the technical round to dive deep into your experience with agent loops and failure handling—they'll likely ask you how you debug non-deterministic agent behavior and prevent infinite tool-calling loops. The hiring manager wants to see that you understand the architectural trade-offs of different chunking strategies in RAG and how you measure hallucination rates in production.
Application Advice
Skip the generic AI buzzwords and make sure your resume explicitly highlights production deployments involving LangChain, RAG architectures, and custom Python backend integrations. If you have any public GitHub repos or side projects showing MCP server development or graph database integration with Neo4j, make sure those links are front and center on your resume to easily clear the ATS filters.