Advanced AI Product Specialist

22 hours ago

Bhavnagar, Gujarat, India beBeeAIengineer Full time US$ 1,00,000 - US$ 1,60,000

About our company

Our team builds innovative products that combine engineering, design, and AI.

Translate raw model capability into streamlined features. Work on Model Context Protocol servers, build agentic clients, architect RAG pipelines, and automate LLM evaluations to ensure every release delivers measurable value.

You will work closely with DevOps to develop and deploy infrastructure using CDK or Terraform, set up monitoring dashboards for prompt performance, latency, and failure traceability, continuously refine prompts, embeddings, and model behavior based on user feedback and regression tests.

Key Responsibilities:

  • Build 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 LLL outputs for relevance, accuracy, and coherence
  • Work closely with DevOps to develop and deploy infrastructure using CDK or Terraform
  • Set up monitoring dashboards for prompt performance, latency, and failure traceability
  • Continuously refine prompts, embeddings, and model behavior based on user feedback and regression tests

Requirements:

  • 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 fluency GitHub Actions, containerized deployment, test-first habits
  • Experience with LLM evaluation tools like Promptfoo, LangSmith, or Guardrails

What We Offer:

  • 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

Inclusion Matters:

We celebrate diversity and are committed to creating an inclusive environment for all team members.

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