2 месяца назад
AI Engineer (LLM)
200 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (LLM) (Applied AI and hardware infrastructure): Building production AI systems that understand complex semiconductor and chip design documents and turn them into code with an accent on document understanding, agentic coding, and reliable software engineering. Focus on designing multi-agent and reinforcement learning systems, deploying large language models, and managing latency, output variance, and graceful error handling at scale.
Location: Hybrid in New York City, Silicon Valley, London, or Copenhagen
Salary: $200,000–$400,000 per year, plus equity and bonus.
Company
is an applied AI company building foundational hardware and software for the semiconductor industry, AI infrastructure, and systems engineering.
What you will do
- Lead AI development from concept through production deployment and iteration.
- Design LLM-powered systems that understand complex technical and chip design specifications.
- Develop multi-agent, reinforcement learning, and agentic code-generation systems.
- Build strategies for latency, output variance, and graceful error handling in production.
- Integrate AI capabilities into the platform in collaboration with product and engineering teams.
- Mentor junior engineers and establish AI development best practices.
Requirements
- Experience delivering production AI systems involving language models, preferably with document understanding or agentic workflows.
- Strong software engineering skills, including distributed systems and production-grade code.
- Proficiency in Python, PyTorch, Hugging Face, and transformers.
- Hands-on experience with prompt engineering, fine-tuning, and deploying large language models.
- Experience preparing large-scale, heterogeneous datasets and explaining complex AI concepts to technical and non-technical stakeholders.
Nice to have
- Experience with hardware design, hardware verification, or EDA tooling.
- Experience deploying AI systems in mission-critical or high-stakes environments.
- Experience with AWS, GCP, or Azure for large-scale AI infrastructure.
- Research or applied experience with LLM agents, reinforcement learning, constrained decoding, or program synthesis.
- Open-source contributions or AI/ML publications.
Culture & Benefits
- Work as part of a cross-location engineering team spanning the United States, United Kingdom, Denmark, and South Korea.
- Competitive compensation with equity and bonus opportunities.
- Commitment to equal employment opportunity, diversity, inclusion, and accessibility accommodations.
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