AI Engineer

Drive Capital; København; On-site; DKK 900,000 - 1,500,000; Full time

Job summary

Normal Computing in Copenhagen is seeking an AI Engineer to build production systems that understand complex technical documents and translate them into high-quality code. You will push the boundaries of AI for hardware through reinforcement learning, agentic coding, and robust software engineering.

You will own end-to-end development, document understanding solutions, multi-agent systems, production quality, and platform integration, while mentoring junior engineers and promoting best practices

Qualifications

• Production AI systems experience with language models.
• Distributed systems and production-grade code.
• Proficiency in Python and ML frameworks (PyTorch, Hugging Face, transformers).
• Hands-on prompt engineering, fine-tuning, and deploying large language models.
• Ability to preprocess large-scale, heterogeneous datasets.
• Ability to explain complex AI concepts to technical and non-technical stakeholders.

Responsibilities

• End-to-End AI development from concept through production deployment and iteration.
• Document Understanding: design and implement LLM-powered solutions for extracting meaning from complex specifications.
• Agentic Systems: handle multi-agent and RL approaches for code generation and tool use.
• Production Quality: design strategies to manage latency, output variance, and error handling at scale.
• Platform Integration: collaborate with product and engineering teams to embed AI capabilities into our platform.
• Mentorship: guide junior engineers and establish best practices for AI development.

Skills

Production AI systems

Language models

Distributed systems

Python

Prompt engineering

Data preprocessing

Stakeholder communication

Tools

PyTorch

Transformers

Hugging Face

Job description

Normal Computing | Build with Us

Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul.

The Role

As an AI Engineer at Normal, you will 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.

What You Will Own

• End-to-End Development: Lead AI development from initial concept through production deployment and iteration.

• Document Understanding: Design and implement LLM-powered solutions that extract meaning from complex technical specifications.

• Agentic Systems: Handle multi-modal complexity and explore multi-agent and RL approaches for agentic code generation and tool use.

• Production Quality: Design strategies to manage latency, output variance, and graceful error handling at scale.

• Platform Integration: Collaborate with product and engineering teams to embed AI capabilities seamlessly into our platform.

• Mentorship: Guide junior engineers and establish best practices for AI development.

What Makes You a Great Fit

• 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)

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

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

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

Bonus Points

• Experience with hardware design, hardware verification, or EDA tooling

• 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

Equal Employment Opportunity Statement

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.

Accessibility Accommodations

Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at [e-mail].

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