Senior Applied AI Engineer

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AI Summary

Design and implement AI agents for hardware engineering automation, collaborate with customers, and influence product architecture.

Key Highlights
Design and implement AI agents for hardware engineering automation
Collaborate with customers and engineering team
Influence product architecture
Key Responsibilities
Design and implement core workflows and infrastructure for hardware engineering agents
Build agents and ML models that can interpret, reason over, and manipulate complex engineering design data
Work closely with customers and the engineering team to deliver AI-powered workflows
Technical Skills Required
PyTorch Hugging Face W&B Machine Learning Search and Information Retrieval
Benefits & Perks
$180,000 – $250,000 base + equity
Unlimited PTO
Full health insurance
Free lunch and dinner
Company equipment provided
Nice to Have
2+ years in applied machine learning, backend engineering, or AI infrastructure
Experience working with machine learning over geometric data, including CAD

Job Description


Job Description

Founding Engineer – Applied AI — Antes

Location: San Francisco, CA (Onsite preferred — exceptional remote candidates considered)

Compensation: $180,000 – $250,000 base + equity

Visa Sponsorship: H-1B, O-1, OPT supported

Experience Level: 2–6 years

Employment Type: Full-Time

About The Role

Antes is hiring a world-class Applied AI Engineer to build the core systems behind their automation engine for hardware engineering. You will design, implement, and post-train AI agents that power critical product development workflows for global enterprise customers.

What You'll Own

  • Engineering agent workflows: design and implement core workflows and infrastructure for hardware engineering agents, including intelligent context management, novel indexing approaches, and post-training
  • Design data interpretation: build agents and ML models that can interpret, reason over, and manipulate complex engineering design data, integrating with enterprise-grade engineering tools and systems
  • Direct customer collaboration: work closely with customers and the engineering team to deliver AI-powered workflows that are reliable, intuitive, and trusted in production environments
  • Prototype rapidly, validate ideas with real users, and ship frequently
  • Influence engineering culture, architecture decisions, and the future of the product

Requirements

  • Bachelor's or higher in Computer Science, Machine Learning, or equivalent experience
  • Strong familiarity with LLM architectures and agent research trends
  • Excellent programming skills with experience using ML libraries such as PyTorch, Hugging Face, and W&B
  • Experience building production ML or AI systems
  • Solid practical experience with search and information retrieval
  • Moves fast from idea to production with a genuine care for customer experience
  • Based in or willing to relocate to San Francisco — or an exceptional remote candidate

Nice to Have

  • 2+ years in applied machine learning, backend engineering, or AI infrastructure
  • Experience working with machine learning over geometric data, including CAD
  • Track record of high-impact contributions or published papers at top-tier AI labs or teams

Benefits

  • Unlimited PTO
  • Full health insurance
  • Free lunch and dinner
  • Company equipment provided

Interview Process

  • Pending approval
  • First round chat
  • Second round engineering test
  • Onsite (paid, all expenses covered)
  • Offer

Logistics

SF onsite strongly preferred — exceptional remote candidates considered. H-1B, O-1, and OPT visa sponsorship available. Shortlisted candidates will be contacted by David Joseph & Co., the recruiting partner managing this search on behalf of Antes.

Machine Learning & Artificial Intelligence

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