Datum Technologies Group
AI Engineer (Python/Azure)_ Alpharetta, GA (Local preffered)
Skills
17 days ago
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Important information
Contract type:
Freelance / Contract
Location:
Alpharetta, GA, USA
Work mode:
Onsite
Published on:
5 October 2026
What they need
AI Engineer
Location: Prefer Alpharetta/Atlanta, GA (or Boca Raton, FL) /Remote per EST
Duration: 12 months
Job Description:
Role Summary
We have a capable engineering team working on a complex legacy-to-Python migration and multiple customer-facing platforms. We don't need another developer — we need someone whose primary job is to make the entire team 3-5x faster by building AI-powered automation across every phase of the SDLC: requirements extraction, code generation, testing, defect analysis, and release. This person doesn't just use AI — they architect AI-driven engineering workflows that multiply the output of every developer on the team.
Required Skills (Must-Have):
AI Agent Development & Orchestration: #1 differentiator. Proven experience building multi-step AI agent workflows for engineering tasks — chaining code analysis ? generation ? validation ? feedback. GitHub Copilot, Claude, LangChain, custom agents, or equivalent.
SDLC Automation & DevOps: Track record of automating significant portions of the delivery lifecycle — CI/CD, automated testing, code quality gates, release automation (GitHub Actions).
Python (strong proficiency): Primary codebase is Python — data processing, JSON transformations, modular architecture. Must build tooling and review/generate code at scale.
Automated Testing Frameworks: AI-augmented regression suites, diff/comparison tooling, scenario-based test generation, golden-file validation. pytest, CI integration.
Advanced Prompt Engineering: Complex multi-step prompts for code generation, legacy code analysis, business rule extraction. Knows how to structure context, manage token limits, and validate AI outputs.
Requirements:
- 7+ years of experience
Preferred Skills :
Legacy code analysis — Parsing unfamiliar proprietary languages to extract business logic via AI
Java / Spring Boot — Secondary platforms are Java-based
Elasticsearch, Azure / AKS / Cosmos DB — Platform technologies
Healthcare data / MDM domain
Key Attributes :
AI-native thinker — Every manual process is an automation opportunity. AI is the primary development engine, not a side tool.
Force multiplier — Measures success by how much faster they make the entire team, not by their own code output
Builder of systems — Creates reusable tooling, agent templates, and playbooks the whole team adopts
Pragmatic and fast — Ships working automation in days, not weeks. Iterates rapidly.
Environment :
Python, Java/Spring Boot, Elasticsearch, Azure (AKS, Cosmos DB), GitHub, Jira, HPCC/ECL (legacy) | GitHub Copilot, Claude, SDD, AI-DLC | Agile, 2-week sprints
Will wait for your response.
Vishnu Singh
Email : [email protected]
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