
AI Expertise Engineer Position
10 hours ago
About our team:
We specialize in creating innovative solutions for complex problems using cutting-edge technologies and best practices.
We work with startup founders to build their minimum viable products and with existing enterprises to help solve interesting challenges.
Main Responsibilities- Design, implement, and optimize AI backends that combine Python engineering discipline with GenAI capabilities like tool orchestration, retrieval pipelines, and observability.
- Implement APIs, microservices, and data pipelines to support AI use cases.
- Design and implement multi-agent orchestration (e.g., AutoGen, CrewAI, LangGraph).
- Build pipelines for agents to delegate tasks, exchange structured context, and collaborate.
- 3–7 years professional experience with Python (3.9+).
- Strong knowledge of object-oriented programming, async programming, and REST API design.
- Proven hands-on experience with RAG implementations and vector databases (Pinecone, Weaviate, FAISS, Qdrant, Milvus).
- Familiarity with MCP (Model Context Protocol) concepts and hands-on experience with MCP server implementations.
- Understanding of multi-agent workflows and orchestration libraries (LangGraph, AutoGen, CrewAI).
- Opportunity to own core AI modules (MCP servers, RAG frameworks, A2A orchestration).
- End-to-end involvement from architecture → MVP → production rollout.
- A fast-moving, engineering-first culture where experimentation is encouraged.
- Competitive compensation, flexible work setup, and strong career growth.
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