← Back to AI Engineer Jobs
DG

Artificial Intelligence Engineer

Datum Technologies Group

United States

Job Details:

Job Title: Artificial Intelligence Engineer

Duration: Long-Term Contract

Location: : Alpharetta, GA || Atlanta, GA || Boca Raton, FL || Remote (Working Hours EST Zone)

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

Apply on linkedin

More ai engineer jobs roles

  • AI Engineer (NodeJS)Habyt · Berlin, DE→
  • Senior AI EngineerChatGPT Jobs · New York, NY, US→
  • Staff Enterprise AI Engineer - Agentic Workflows & ProductivityCalix · San Jose, US→
  • AI Engineer (Technical Product Owner)Foxelli Group · Remote→
  • Senior AI EngineerTeradata · San Diego, US→
  • Senior AI EngineerTeradata · San Diego, US→
  • Senior AI EngineerTeradata · San Diego, US→
  • Senior AI Engineer - Chicago, IL(Hybrid) - Locals onlyJobs via Dice · Chicago, IL→
View all ai engineer jobs roles →

Don't miss the next ai engineer jobs role

Set up an alert and we'll email you matching openings. No spam, unsubscribe anytime.

Double opt-in: we'll email you a link to confirm. No spam, unsubscribe anytime.