Agentic Developer, LLM‑Native / Enterprise (Contractor)

Role

Agentic Developer (LLM‑Native / Enterprise, Contractor, Hybrid) responsible for producing, refactoring, and extending enterprise-grade code by orchestrating large language models as first-class development tools. The role emphasizes modernization of legacy systems in regulated, compliance-heavy domains and driving adoption of LLM-native engineering practices.

Key Responsibilities

• Generate, refactor, and extend production enterprise code using LLMs and agentic development workflows.
• Modernize and evolve legacy systems (traditional enterprise stacks) with AI-driven development processes.
• 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.
• Operate within mature CI/CD environments with automated testing integrated into delivery pipelines.
• Collaborate with product managers, architects, and clients to translate ambiguous requirements into working systems quickly.
• Influence how the firm and clients adopt LLM-native software engineering practices at scale.

Requirements

• Strong software engineering background with experience in enterprise or legacy systems.
• Hands-on experience producing production-grade software via AI-assisted workflows (beyond simple autocomplete/chat use).
• Experience working within mature CI/CD environments and automated testing practices.
• Comfort in regulated, risk-aware environments where correctness, explainability, and traceability are required.
• Ability to reason about system behavior, edge cases, and failure modes, including for AI-generated code.
• Fluency in at least one major enterprise language/ecosystem (examples given: Java, C#, Python, JVM-based stacks).
• Strong judgment about when to trust model outputs and when not to.
• Experience leading teams through AI adoption and building scalable 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 refactors, platform rewrites).
• Well-formed opinions about the evolution of software engineering in an LLM-first world and ability to defend them.

Company & Location

Lab49 is a specialist strategy, design, and technology consulting company focused on financial services with office hubs in Midtown Manhattan, Washington DC, London, Budapest, New Delhi, and Sydney. This position is offered on a contractor basis with a hybrid work model.

Hiring Notes

The role emphasizes responsible use of AI in hiring and notes that AI tools may assist in parts of the recruitment process, while final hiring decisions remain human-driven.