AI Software Engineer

2 days ago

Alwar, Rajasthan, India beBeeDeveloper Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Develop High-Performance AI Applications

Codewalla is a product studio that works at the intersection of design, engineering, and AI.

We develop systems shaped by real business needs and tested in the real world.

About the Role

We're hiring an AI Applications Developer with 5-8 years of experience, including at least 1 year building LLM-powered features in production.

Your mission: translate raw model capability into lean, reliable, and user-ready features. You'll work on Model Context Protocol (MCP) servers, build agentic clients, architect RAG pipelines, and automate LLM evaluations to ensure every release delivers measurable value.

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 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
  • 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.
Tools & Tech We Work With
  • Languages: Python, TypeScript.
  • Frameworks: LangChain, FastAPI, Next.js.
  • Cloud: AWS (Bedrock, Lambda, DynamoDB, OpenSearch Vector Search) or GCP (Vertex AI, Cloud Functions, Firestore, BigQuery, Vector Search).
  • Dev Tools: GitHub Copilot, Cursor.
  • Evaluation & Safety: Promptfoo, LangSmith, Guardrails.
  • DevOps: GitHub Actions, CDK or Terraform, Docker, Prometheus, Grafana.

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