AI Platform Engineer — Agentic SDLC

• Extend and harden an AI-driven software development lifecycle platform built on Kiro IDE. The platform uses autonomous agents MCP tool integrations (Rally Playwright Git Confluence) steering files and event-driven hooks to orchestrate requirements gathering architecture design code generation test automation and deployment gating all AI-first.

  build new agent capabilities design RAG pipelines for context-aware code generation create governance guardrails and integrate with enterprise ALM/DevOps tools. This is not a testing role or a DevOps role its building the platform that makes all SDLC phases AI-native.

Key Areas of Responsibilities:

• Design and build AI agents that orchestrate multi-step SDLC workflows (fetch generate execute validate sync)
• Build RAG pipelines that feed architecture docs coding standards and Rally artifacts as grounded context to LLMs
• Implement MCP servers and tool integrations (Rally Playwright Git Confluence Azure DevOps)
• Author steering files (persona governance lifecycle) that constrain agent behavior with formal rules
• Build self-healing and auto-remediation systems with bounded autonomy and human escalation
• Design state machines for artifact lifecycles (requirements design code test deploy)
• Create event-driven hooks for CI/CD integration nightly runs and release gating
• Implement property-based testing to formally verify system correctness
• Package and deploy agent infrastructure (Docker pipelines credential management)

Qualifications :

Skills Required:

Core Language

TypeScript /

AI/LLM

Azure OpenAI (GPT-4) prompt engineering structured outputs

Agent Framework

Kiro IDE agents MCP (Model Context Protocol) tool-use patterns

RAG / Context

Embedding pipelines vector search document chunking context grounding

Testing

Playwright fast-check (PBT) Jest

ALM Integration

Rally Azure DevOps Jira (bidirectional sync)

DevOps

GitHub Actions / Azure DevOps Pipelines Docker AKS

Frontend

React 18 TailwindCSS shadcn/ui (for dashboards/reporting)

Backend

Express Prisma PostgreSQL Redis/Bull queues

Documentation

Markdown-first Word export Mermaid diagrams

Must-Have Skills

• AI Agent Systems Built or extended multi-step autonomous agents with tool-use guardrails and human-in-the-loop patterns
• RAG Pipelines Designed retrieval-augmented generation systems (embedding chunking vector DB context injection)
• TypeScript / Production-grade 4 years
• LLM Integration Azure OpenAI or equivalent; prompt engineering structured outputs function calling
• Full-Stack Architecture Can design end-to-end systems (API queue DB frontend infra)
• CI/CD & DevOps Pipeline authoring Docker scheduled automation release gates

State Machine / Workflow Design Lifecycle management valid-transition enforcement event-driven orchestration

Nice-to-Have

• MCP (Model Context Protocol) experience or similar tool-use protocols
• Playwright test automation
• Rally / Azure DevOps API integration
• Property-based testing (fast-check QuickCheck)
• Salesforce application
• Experience with Kiro Cursor Windsurf or similar AI-native IDEs
• Formal verification or correctness-by-construction approaches

Additional Information :

Backfill position for Nayeem Mohammed (Emp ID:700971) in GE digital under Manish Purwar

Remote Work :

No

Employment Type :

Full-time