AI Research Engineer (Agentic LLMs)

Location: Hybrid in New York City, Copenhagen, London, Silicon Valley, or Zurich

Salary: $200K–$400K per year plus equity

Company

hirify.global is an applied AI company building foundational hardware and software for the semiconductor industry, AI infrastructure, and systems technology.

What you will do

• Design and implement multi-agent and reinforcement learning approaches for agentic code generation and tool use.
• Build research prototypes and collaborate with engineering to productionize successful approaches.
• Create evaluation suites with task specifications, pass/fail checkers, coverage metrics, and cost/latency dashboards.
• Acquire and curate datasets from PDFs, logs, and tables; generate synthetic data and maintain data cards and licensing records.
• Run disciplined ablations, analyze experiments, and document results and decisions.
• Track advances in LLM agents, offline and online RL, RLHF/RLAIF, constrained decoding, and program synthesis.

Requirements

• PhD in CS, AI, or ML, or equivalent research experience, ideally with publications in multi-agent RL, agentic AI, or RL for language and code.
• Strong Python and machine learning framework experience, with PyTorch preferred.
• Ability to turn research into working systems with reproducibility practices, including tests, seeds, configurations, and logging.
• Experience designing evaluation harnesses and success metrics for sequential or agentic tasks.
• Experience acquiring and curating data from documents and logs, with sound judgment about data quality and licensing.
• Clear communication and effective collaboration with engineers.

Nice to have

• Research in program synthesis, code generation, constrained decoding, or execution-based rewards.
• Experience with offline RL from tool traces or human corrections.
• Open-source contributions to projects such as CleanRL, RLlib, AutoGen, LangGraph, CrewAI, or Transformers.
• Familiarity with semiconductor and chip domains or other complex technical specifications.
• Experience shipping research to production and measuring its impact.

Culture & Benefits

• Full-time employment with hybrid work across multiple international offices.
• Compensation combines base salary, performance-based incentives, equity, and benefits.
• Compensation practices are regularly reviewed for competitiveness and equity.
• Inclusive environment with equal employment opportunity and accessibility accommodations.