AI DATA Engineer – SDLC Automation & AI Agents

We’re looking for a highly skilled AI Engineer who can build AI-powered automation across the entire Software Development Life Cycle (SDLC).

📍 100% Remote

📅 12-Month Contract

Only W2 - $40 Per Hour - No c2c

This is not a traditional AI Engineer or Python Developer role . We need someone who can architect intelligent, multi-step AI agent workflows that accelerate development, testing, defect analysis, and release processes.

🏢 Opportunity: Supporting a complex Legacy-to-Python Migration and customer-facing platforms

Must-Have Skills

✅ AI Agent Development & Orchestration – Multi-step agentic workflows for code analysis, generation, validation, and feedback

✅ GitHub Copilot, Claude, LangChain, or Custom AI Agents

✅ SDLC Automation – Requirements extraction, code generation, testing, defect analysis, and release automation

✅ Strong Python Development – Data processing, JSON transformations, modular architecture

✅ CI/CD & GitHub Actions

✅ Automated Testing – pytest, regression automation, scenario-based testing, golden-file validation

✅ Advanced Prompt Engineering – Context management, multi-step prompting, token optimization, AI output validation

✅ AI-Driven Code Analysis & Migration Automation

Preferred Skills

⭐ Legacy Code Analysis & Business Rule Extraction

⭐ Java / Spring Boot

⭐ Elasticsearch

⭐ Azure / AKS / Cosmos DB

⭐ Healthcare Data / Master Data Management (MDM)

Key Responsibilities

• Architect and build reusable AI agents to automate engineering workflows.

• Develop multi-step automation for code analysis, generation, validation, and feedback.

• Accelerate legacy-to-Python migration using AI-driven business rule extraction.

• Automate regression testing, code comparison, and defect identification.

• Integrate AI workflows with GitHub Actions and CI/CD pipelines.

• Build reusable agent templates, automation frameworks, and engineering playbooks.

• Improve developer productivity through scalable, practical AI solutions.

🎯 Ideal Candidate: An AI-native engineer who builds automation systems rather than simply using AI coding assistants. Someone who can demonstrate how their AI workflows have significantly improved engineering productivity.

The goal is to make the entire development team 3–5x more productive through AI-driven SDLC automation.