Large Language Model Engineer

6 days ago

Erode, Tamil Nadu, India beBeeApplication Full time ₹ 20,00,000 - ₹ 30,00,000

Are you ready to build the future with Large Language Models?

We're seeking a highly skilled and motivated individual to join our team as a Generative AI Engineer. In this role, you will be responsible for translating raw model capability into lean, reliable, and user-ready features.

Key Responsibilities:
  • Build Model Context Protocol (MCP) servers and agentic clients that handle user intent parsing, tool orchestration, and structured response generation.
  • Architect efficient RAG pipelines with chunk decay, latency budgeting, and cost-aware vector search.
  • Automate evaluation pipelines that test LLM outputs for relevance, accuracy, and coherence.
  • Work closely with DevOps to codify and deploy infrastructure using CDK or Terraform.
  • Set up observability dashboards for prompt performance, latency, and failure traceability.
  • Continuously refine prompts, embeddings, and model behavior based on user feedback and regression tests.

Requirements:

What We're Looking For:
  • 5–8 years of full-stack or backend development experience, with at least 1 year building AI-powered or LLM-based applications.
  • AI-native mindset: test fast, trace deeply, pause to reframe when needed.
  • Strong Python and TypeScript skills.
  • Experience with either AWS or GCP stacks.
  • Familiarity with LangChain, Bedrock SDK, and vector database schema design.
  • Understanding of prompt design, embeddings, and agentic workflows.
  • CI/CD fluencyGitHub Actions, containerized deployment, test-first habits.
  • Experience with LLM evaluation tools like Promptfoo, LangSmith, or Guardrails.
  • Bonus: Experience with MLflow, LaunchDarkly, Inferentia/GPU tuning.

Benefits:

Why Join Us?
  • Build for scale: Work on products that get investor love and scale to global audiences.
  • Be part of AI-native product development: Integrate AI tools into how we design, build, and ship.
  • Global exposure: Directly collaborate with US-based startups, VCs, and product teams.
  • Learn fast: Small, elite teams with zero bureaucracy and high ownership.
  • See your impact: Every decision you make will shape user experience and business outcomes.

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