Senior AI Software Engineer

2 days ago

Thāne, Maharashtra, India beBeeBackend Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
AI Backend Engineer

We are a boutique software product development services firm specializing in creating uncommon solutions for common problems by leveraging the right technologies and best practices.

Our team has 65+ associates, with 40 products built for our clients, 20 of which have been funded, acquired, or become profitable.

Job Description

We seek a Python developer experienced with Generative AI (GenAI), Model Context Protocol (MCP), Agent-to-Agent (A2A) workflows, and Retrieval-Augmented Generation (RAG). This is not a research role - it's about shipping production-grade AI systems that work reliably in the wild.

You will architect, implement, and optimize AI backends combining Python engineering discipline with GenAI capabilities like tool orchestration, retrieval pipelines, and observability.

Key Responsibilities:
  • Architecting and implementing AI backends using Python
  • Developing MCP servers to expose tools, resources, and APIs to LLMs
  • Implementing RAG pipelines: text preprocessing, embeddings, chunking strategies, retrieval, re-ranking, and evaluation
  • Integrating with LLM APIs and open-source models
  • Handling context-window optimization and fallback strategies for production workloads
Required Skills & Qualifications:
  • 3–7 years professional experience with Python (3.9+)
  • Strong knowledge of OOP, async programming, and REST API design
  • Proven hands-on experience with RAG implementations and vector databases
  • Familiarity with MCP concepts and hands-on experience with MCP server implementations
  • Understanding of multi-agent workflows and orchestration libraries
  • Proficiency with FastAPI/Django for backend development
  • Comfort with Docker, GitHub Actions, CI/CD pipelines
  • Practical experience with cloud infrastructure
Nice-to-Have:
  • Exposure to AI observability & evaluation
  • Contributions to open-source AI/ML or MCP projects
  • Understanding of compliance/security frameworks
  • Prior work with custom embeddings, fine-tuning, or LLMOps stacks
What We Offer:
  • 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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