Full Stack Engineer-Golang with Angular

Key Responsibilities

• Translate business requirements into clear, 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.