Jobs · Engineering · New York

Agentic Developer, LLM‑Native / Enterprise (Contractor), West Coast/ NYC

ION · New York, United States · 2 wk ago
HybridEngineeringContract

What You’ll Do

  • Generate, refactor, and extend enterprise-grade codebases by orchestrating LLMs as first-class development tools, not just assistants
  • Modernize and evolve legacy systems (often written in traditional enterprise stacks) using AI-driven development workflows
  • Design and guide agentic workflows where LLMs reason, iterate, and produce code aligned with business and architectural constraints
  • Validate, test, and harden AI-generated code to meet production, security, and audit standards
  • Collaborate closely with product managers, architects, and clients to translate ambiguous requirements into working systems - fast
  • Influence how Lab49 and its clients adopt LLM-native software engineering practices at scale

What We’re Looking For

  • Strong software engineering background with experience in enterprise or legacy systems
  • Hands-on experience manufacturing production-grade software in AI-assisted way at scale (not just autocomplete or chat usage, but sustained code production through prompts, agents, or workflows)
  • Experience working within mature CI/CD environments, with automated testing fully integrated into the delivery pipeline
  • Comfort working in regulated, risk-aware environments, where correctness, explainability, and traceability matter
  • Ability to reason about system behavior, edge cases, and failure modes-even when the code is AI-generated
  • Fluency in at least one major enterprise language or ecosystem (e.g., Java, C#, Python, JVM-based stacks, etc.)
  • Strong intuition for when to trust the model-and when not to
  • Leading teams through the AI adoption journey and helping enterprises build scalable, robust AI software factory frameworks

Nice to Have

  • Experience designing or using agentic development workflows (multi-step prompting, tool-using agents, code-generation loops)
  • Exposure to modernization programs (monolith → services, legacy refactors, platform rewrites)
  • Opinions about how software engineering should evolve in an LLM-first world-and the ability to defend them

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