
Talented Backend Engineers Wanted for Cutting-Edge AI Projects
2 weeks ago
This is an exciting opportunity for a talented Backend Engineer to join our team and contribute to the development of cutting-edge Generative AI systems.
The ideal candidate will have strong technical skills and experience with Python, Generative AI, and RAG. They will be responsible for architecting, implementing, and optimizing AI backends that combine Python engineering discipline with GenAI capabilities like tool orchestration, retrieval pipelines, and observability.
Key Responsibilities- Design and implement scalable Python codebases using FastAPI/Django
- Implement APIs, microservices, and data pipelines to support AI use cases
- Develop MCP servers to expose tools, resources, and APIs to LLMs
- Implement RAG pipelines: text preprocessing, embeddings, chunking strategies, retrieval, re-ranking, and evaluation
- Integrate with LLM APIs (OpenAI, Anthropic, Gemini, Mistral) and open-source models (Llama, MPT, Falcon)
- Strong knowledge of OOP, 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)
- Proficiency with FastAPI/Django for backend development
- Comfort with Docker, GitHub Actions, CI/CD pipelines
- Practical experience with cloud infrastructure (AWS/GCP/Azure)
- 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 and strong career growth
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