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Engineering Intern Engineering · San Francisco On-site

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Veriqa, Inc.
Full Time, Apprenticeship/Internship position
Listed on 2026-07-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 18 - 30 USD Hourly USD 18.00 30.00 HOUR
Job Description & How to Apply Below
Position: Engineering Intern Engineering · San Francisco · · On-site →

Veriqa is the quality intelligence layer for regulated industries, starting with pharma. We ingest the fragmented, unstructured quality data manufacturers already generate — batch records, deviations, CAPAs, vendor COAs, handwritten and paper files — into one connected graph, and surface the patterns no human or legacy system can see. Our team comes from AWS, Berkeley, UC San Diego, Miltenyi Biotec, and multi-generational pharma manufacturing.

We’re building the system every drug on earth depends on.

The Role

You’ll build AI systems in a domain where being wrong isn’t an option. Pharma quality is regulated, high-stakes, and allergic to hallucination — which makes the engineering hard: deterministic pipelines, source-traceable outputs, fine-tuned OCR on messy handwritten records, a knowledge graph over fragmented data, and multi-agent orchestration with a human in the loop at every gate.

Your work spans the full stack — backend, ML and OCR, data ingestion, eval and observability, and the interfaces quality teams work in. You’ll ship to real customers on real data, own features end to end, and shape core architecture from day one.

About the Role
  • Internship timing flexible to your availability (winter, spring, summer)
  • Based in San Francisco, on-site
  • Work directly with the founders and early customers
  • Opportunity to convert to full-time for strong performers
What Makes You a Good Fit
  • Comfortable across the stack (e.g. Python, Type Script/Next.js, modern cloud and GPU infra)
  • Experience building production systems with real users
  • Strong intuition for product, UX, and system design
  • Relentless builder with a bias toward shipping
  • Learn new technologies fast and own entire features end to end
Bonus Points
  • Experience with LLMs, multi-agent systems, RAG, or knowledge graphs
  • Worked with OCR, computer vision, or model fine-tuning
  • Comfortable with large, messy, or unstructured datasets
  • Interest in regulated industries, healthcare, or life sciences

If you want to build AI the world can trust where it matters most, come join us.

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