Key Responsibilities

- Translate business requirements into explicit, structured specifications that drive AI-assisted design, code generation, and test creation.
- Build high-performance backend services and APIs in Go using AI agents within an AI SDLC workflow.
- Develop responsive, modular frontend applications in Angular, integrating seamlessly with backend APIs.
- Design, optimize, and maintain PostgreSQL schemas, queries, indexes, and stored procedures.
- Review, validate, and refine AI-generated code for correctness, security, and performance.
- Build and maintain prompt libraries, agent workflows, and spec templates as reusable SDLC assets.
- Leverage AI to automate unit, integration, and regression testing, and to keep documentation aligned with code.
- Collaborate with architects, QA, and product owners in an agile, spec-first delivery model.

Required Skills

- AI SDLC: proven, daily use of AI tools across the full development lifecycle, beyond code completion.
- Go: experience building production-grade services,



with strong command of concurrency.
- Angular: hands-on experience with components, services, routing, and state management.
- PostgreSQL & SQL: data modeling, performance tuning, and database migrations.
- Spec Driven Development: writing precise, testable specifications that AI agents can implement and verify.
- Prompt and context engineering: structuring prompts, context, and instructions to produce reliable AI output.
- Critical judgment: ability to identify hallucinations, security gaps, and logic errors in AI-generated work.
- Tooling: Git, Bitbucket, Jira, Confluence, GitHub Copilot, and CI/CD pipelines.

Good to Have

- Experience with agentic frameworks, MCP (Model Context Protocol), or LLM APIs.
- Exposure to legacy-to-modern data platform migration.
- Prior delivery experience on an end-to-end AI SDLC project using Spec Driven Development.

📌 Full Stack Engineer-Golang with Angular (Bengaluru)
🏢 Sonata Software
📍 Bengaluru