Normal Computing

Normal Computing

AI Engineer

New York City · Junior

Sponsorship not specified$10k-$100kDetected 6 days ago
PythonDistributed SystemsFull-Stack DevelopmentAWSGCPAzureCloud PlatformsMachine LearningPyTorchNLPLLMsAgentic AIAccessibilityHardware DesignResearchMentoring

About the role

  • 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.
  • Agentic Systems: Handle multi-modal complexity and explore multi-agent and RL approaches for agentic code generation and tool use.
  • Mentorship: Guide junior engineers and establish best practices for AI development.

Responsibilities

  • Design and implement LLM-powered solutions that extract meaning from complex technical specifications.
  • 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.
  • 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.
  • Document Understanding: Design and implement LLM-powered solutions that extract meaning from complex technical specifications.
  • 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.
  • Previous experience delivering production AI systems involving language models, preferably involving document understanding and/or agentic workflows

Requirements

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

Skills

  • Solid software engineering skills with experience in distributed systems and production-grade code
  • Skill in balancing cutting-edge innovation with production reliability and pragmatism

Compensation

  • $10k-$100k

Equal opportunity

  • 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
Apply directly at Normal Computing →Create a free account for alerts like thisView Normal Computing immigration profile

This listing is sourced directly from Normal Computing's careers page and normalized into a canonical job model.