Artificial Intelligence Engineer

Datum Software
Alpharetta, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Alpharetta, United States of America

Tech stack

Java
Artificial Intelligence
Business Logic
Computing Platforms
Application Release Automation
Automation of Tests
Azure
Static Program Analysis
Code Generation
Software Quality
Continuous Integration
Elasticsearch
Github
JSON
Python
Parsing
Systems Development Life Cycle
Data Processing
GitHub Copilot
Prompt Engineering
Spring-boot
Pytest
Cosmos DB
Virtual Agents

Job description

  • 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., * 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.

Requirements

  • 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

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