ML engineer with LLM expertise

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is... Wait, it’s nothing! The number of projects is growing, and with them, our team too.
We are looking for ML engineer with LLM expertise

About the project:

Join a collaborative, forward-thinking team building a next-generation agentic AI research assistant platform for the Life Sciences.

This is an evolving multi-agent system that integrates multiple structured and unstructured data sources.

Requirements:

Real engineering experience of Agentic AI
A research and problem-solving focussed mindsetExperience with LangGraph, LangChain, or other agentic/LLM orchestration frameworks
Experience with Retrieval Augmented Generation (RAG);
Sufficient experience to evaluate options, make recommendations and solve challenges
Strong Python development experience (ideally with FastAPI, Flask, or Django)
Experience building RESTful APIs and microservices
Demonstrable experience integrating third-party APIs or data feeds
Comfortable writing unit tests and following TDD or similar practices
Ability to work within existing codebases and frameworks
Experience and knowledge of MCP
Understanding of observability and monitoring practices
Experience working with knowledge graphs or structured document pipelines

Responsibilities:

You will be tasked with the platform architect to solve specific technical and architectural problems. You will have the ability to conduct research and technical evaluation of issues relating to Agentcore, MCP, Agent to Agent interactions and the general Agentic context, and to feed back and make recommendations based on this
Integrate external data sources and APIs into the orchestration platform
Write clean, testable, and modular code with strong focus on unit and functional testing
Contribute to system design and architecture, particularly for integration and data flow
Collaborate with frontend developers, DevOps, QA, and other engineers in an Agile environment
Work independently on assigned features and take ownership of design, implementation, and testing
Participate in regular code reviews and Agile ceremonies