Senior AI Software Engineer

2 weeks ago

Davangere, Karnataka, India beBeeArtificialIntelligenceDeveloper Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About Codewalla has evolved into a product studio with engineering teams in India.

Since 2005, we've built innovative products that scale.

We work at the intersection of design, engineering, and AI developing systems shaped by real business needs and tested in the real world.

Our team moves fast, thinks deeply, and cares about pushing what software can do to empower people and businesses.

About the Role

We're hiring an experienced AI-native developer with a proven track record of building and shipping Large Language Model (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 Response Aggregation Gateway (RAG) pipelines, and automate LLM evaluations to ensure every release delivers measurable value.

What You'll Work On

  • 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

What Makes You a Great Fit

  • 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, such as:
  • AWS: Lambda, Bedrock, DynamoDB, OpenSearch Vector Search
  • GCP: Cloud Functions, Vertex AI, Firestore, BigQuery, Vector Search
  • 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

  • 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 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

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

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