Senior Generative AI Software Engineer

22 hours ago

Tiruchi, Tamil Nadu, India beBeeBackend Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About us:

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

With over 10 years of experience, we've established ourselves as a trusted partner for startups and enterprises alike, helping them build successful products and solve complex problems.

  • We work closely with our clients to understand their needs and deliver tailored solutions that meet their goals.
  • Our team of experts is passionate about staying up-to-date with the latest technologies and trends, ensuring our solutions are always cutting-edge and effective.

This is an opportunity to own core AI modules (MCP servers, RAG frameworks, A2A orchestration) and work on end-to-end projects from architecture → MVP → production rollout. You will architect, implement, and optimize AI backends that combine Python engineering discipline with GenAI capabilities like tool orchestration, retrieval pipelines, and observability.

**Key Responsibilities**

  • Architect and implement AI backends using Python and GenAI capabilities
  • Develop and optimize retrieval pipelines, including text preprocessing, embeddings, chunking strategies, retrieval, re-ranking, and evaluation
  • Implement APIs, microservices, and data pipelines to support AI use cases
  • Design and implement multi-agent orchestration, including AutoGen, CrewAI, LangGraph
  • Deploy solutions using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure)
  • Ensure MCP servers follow best practices for discoverability, schema compliance, and security
  • Integrate with LLM APIs (OpenAI, Anthropic, Gemini, Mistral) and open-source models (Llama, MPT, Falcon)
  • Handle context-window optimization and fallback strategies for production workloads
  • Build clean, modular, and scalable Python codebases using FastAPI/Django

**Nice-to-Have Skills**

  • Exposure to AI observability & evaluation (LangSmith, PromptFoo, Ragas)
  • Contributions to open-source AI/ML or MCP projects
  • Understanding of compliance/security frameworks (SOC-2, GDPR, HIPAA)
  • 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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