Artificial Intelligence Engineer

We are looking for an AI Engineer to build production systems that understand large technical documents - like chip design specifications - and turn them into code

You’ll ship real improvements to customers weekly while pushing the boundaries of what’s possible in AI for hardware through reinforcement learning, agentic coding, and exceptional software engineering

Lead end-to-end AI development from initial concept through production deployment and iteration

Design and implement LLM-powered solutions that extract meaning from complex technical specifications

Handle multi-modal complexity and explore multi‑agent and RL approaches for agentic code generation and tool‑use

Design strategies to manage latency, output variance, and graceful error handling at scale

Collaborate with product and engineering teams to embed AI capabilities seamlessly into our platform

Guide junior engineers and establish best practices for AI development

Previous experience delivering production AI systems involving language models, preferably involving document understanding and/or agentic workflows

Solid software engineering skills with experience in distributed systems and production-grade code

Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face, transformers.)

Understanding of AI safety, bias mitigation, and ethical considerations

Ability to explain complex AI concepts to both technical and non-technical stakeholders

Hands-on experience with prompt engineering, fine-tuning, and deploying large language models

Ability to wrangle, clean, and preprocess large-scale, heterogeneous datasets

Experience deploying AI systems in mission-critical or high-stakes production environments

Experience with cloud platforms (AWS, GCP, Azure) for large-scale AI infrastructure

Research or applied experience with LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, or program synthesis

Open-source contributions or publications in AI/ML venues

Skill in balancing cutting-edge innovation with production reliability and pragmatism