AI Applications Developer

17 hours ago


Jodhpur, Rajasthan, India beBeeSoftware Full time US$ 1,50,000 - US$ 2,50,000
About Our Role

As a specialist in AI-powered applications, you will be responsible for translating raw model capability into lean, reliable, and user-ready features.

You will work on Model Context Protocol (MCP) servers, build agentic clients, architect RAG pipelines, and automate LLM evaluations to ensure every release delivers measurable value.

If you thrive on rapid iteration, prompt experimentation, and seeing your code make it into users' hands, this could be the ideal role for you.

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 LLM outputs for relevance, accuracy, and coherence
  • Work closely with infrastructure teams to codify and deploy systems 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
  • 5–8 years of full-stack or backend development experience, with at least 1 year building AI-powered or LLM-based applications
  • Achieve an AI-native mindset: focus on testing fast, tracing deeply, and pausing to reframe when needed
  • Develop strong skills in Python and TypeScript
  • Experience working with either AWS or GCP stacks
  • Familiarity with LangChain, Bedrock SDK, and vector database schema design
  • Understand prompt design, embeddings, and agentic workflows
  • Cultivate CI/CD fluency, GitHub Actions, containerized deployment, test-first habits
  • Experience evaluating LLMs with tools like Promptfoo, LangSmith, or Guardrails
Why Join Us?
  • Build scalable products: Work on projects that receive investor attention and scale to global audiences
  • Be part of AI-driven product development: Integrate AI tools into how we design, build, and ship
  • Global exposure: Collaborate directly with US-based startups, VCs, and product teams
  • Learn rapidly: Small, elite teams with zero bureaucracy and high ownership
  • See your impact: Every decision you make will shape user experience and business outcomes

We're an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.



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