Backend AI Software Engineer

2 days ago

Nellore, Andhra Pradesh, India beBeeGenerative Full time ₹ 1,53,23,456 - ₹ 2,03,45,678
About Our Team

We are a cutting-edge software development services firm specializing in creating innovative solutions for complex problems using the right technologies and best practices.

Our team has a proven track record of delivering high-quality products to our clients, with 20 out of our 40 built projects either getting funded/acquired or becoming profitable.

We are seeking experienced Python Developers who are hands-on with Generative AI, Model Context Protocol, Agent-to-Agent workflows, and Retrival-Augmented Generation.

This role is focused on shipping production-grade AI systems that work reliably in the wild.

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

  • Python Engineering
  • Generative AI & RAG
  • MCP (Model Context Protocol)
  • Agent-to-Agent (A2A) Workflows
  • Production & Observability

Key Responsibilities

Design and implement multi-agent orchestration, build pipelines for agents to delegate tasks, exchange structured context, and collaborate.

Add observability, replay, and guardrails to A2A interactions, develop MCP servers to expose tools, resources, and APIs to LLMs, and ensure MCP servers follow best practices for discoverability, schema compliance, and security.

Implement RAG pipelines: text preprocessing, embeddings, chunking strategies, retrieval, re-ranking, and evaluation, integrate with LLM APIs, and handle context-window optimization and fallback strategies for production workloads.

Build clean, modular, and scalable Python codebases using FastAPI/Django, implement APIs, microservices, and data pipelines to support AI use cases.

Nice-to-Have

Exposure to AI observability & evaluation, contributions to open-source AI/ML or MCP projects, understanding of compliance/security frameworks, and prior work with custom embeddings, fine-tuning, or LLMOps stacks.

What We Offer

Opportunity to own core AI modules, end-to-end involvement from architecture to MVP to production rollout, fast-moving engineering-first culture where experimentation is encouraged, flexible work setup, and strong career growth.

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