Agentic Developer, LLM‑Native / Enterprise (Contractor)
Explicitly requires vibe coding skills — using LLMs as first-class development tools and designing agentic workflows to produce enterprise code rapidly while maintaining compliance.
About the Role
Contractor role for an Agentic Developer who uses large language models as a primary development interface to generate, refactor, and modernize production-grade enterprise code. The role focuses on designing agentic workflows, validating AI-generated code for security, auditability, and compliance, and guiding enterprises through LLM-native engineering practices in regulated environments.
Job Description
Role
Agentic Developer (LLM-Native / Enterprise) — contractor role focused on using large language models as first-class development tools to generate, refactor, and modernize production-grade enterprise code, especially within regulated or compliance-heavy domains.
Key Responsibilities
- Generate, refactor, and extend enterprise-grade codebases by orchestrating LLMs as primary development tools.
- Modernize and evolve legacy systems (often 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 with product managers, architects, and clients to translate ambiguous requirements into working systems quickly.
- Influence adoption of LLM-native software engineering practices at scale within client organizations.
Requirements
- Strong software engineering background with experience in enterprise or legacy systems.
- Hands-on experience producing production-grade software via sustained AI-assisted development (beyond simple autocomplete or chat usage).
- Experience working within mature CI/CD environments with automated testing integrated into delivery pipelines.
- Comfort operating in regulated, risk-aware environments where correctness, explainability, and traceability matter.
- 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 cited: Java, C#, Python, JVM-based stacks).
- Strong judgment about when to trust model outputs and when not to, and ability to lead teams through AI adoption.
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).
- Well-formed opinions about how software engineering should evolve in an LLM-first world and ability to defend them.
Location & Employment
- Contractor role with office hubs in Midtown Manhattan, Washington DC, London, Budapest, New Delhi, and Sydney.