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Software Engineer, AI Engineer (Applied​/Software), Full Stack Developer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Talent Stack
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Software Architect, Software Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer
Founding Staff Software Engineer - AI/LLM Products Confidential Venture-Backed Healthcare Technology Startup Work Arrangement:

Hybrid-onsite Monday, Tuesday, and Thursday

Equity:

1%-1.5%

Employment Type:

Full-time

About the Company:

Our client is a rapidly growing, venture-backed healthcare technology startup building AI-powered products that help clinical trials run faster.

Clinical-trial execution remains one of the largest bottlenecks in bringing new medicines to patients. The company is addressing that problem at the research-site level by helping sites identify the right trials, activate them more efficiently, and manage ongoing trial workflows. Its platform also gives biotechnology and pharmaceutical companies greater visibility into site activity and trial startup.

Although still at the seed stage, the company has secured multi-million-dollar funding and gained adoption across hundreds of clinical-research sites. The team is intentionally small, highly collaborative, and positioned for significant growth.

About the Role:

We are seeking a Founding Staff Software Engineer with at least eight years of experience to serve as the technical anchor of a small, high-impact engineering team.

This is a hands-on individual-contributor role—not a traditional engineering-management position. You will write and review production code daily, lead major technical initiatives, mentor three junior engineers, and establish the engineering practices needed to support the company’s next stage of growth.

Working directly with the CTO, founders, product, and customer-success teams, you will turn customer problems into zero-to-one AI products and own them from early ideation through production.

What You’ll Do:
  • Own AI-powered products from customer discovery and initial concept through architecture, development, deployment, and iteration.
  • Build production-grade LLM features, AI agents, and multi-step agentic workflows.
  • Architect and deliver full-stack applications across the frontend, backend, infrastructure, and data layers.
  • Serve as the technical lead for major projects and coordinate the work of other engineers.
  • Write, review, test, and ship production code every day.
  • Mentor three junior engineers through technical coaching, pairing, and thoughtful code reviews.
  • Establish best practices for code quality, testing, documentation, CI/CD, code reviews, and engineering workflows.
  • Design production evaluations, observability, and monitoring for LLM-powered systems.
  • Partner with product, customer success, founders, and customers to identify problems and shape new products.
  • Make pragmatic architectural decisions that balance speed, quality, scalability, and the realities of an early-stage company.
  • Help define the company’s engineering culture, technical roadmap, and long-term development standards.
Required Qualifications
  • At least 8 years of professional software-engineering experience, ideally within the 8-15-year range. ]
  • Bachelors degree in a Computer Science program or STEM degree preferred.
  • Experience serving as a staff engineer, founding engineer, technical lead, or de facto technical anchor for an engineering team.
  • Demonstrated success leading large technical projects and coordinating the work of other engineers.
  • Strong full-stack product-engineering experience with the ability to own features across the frontend, backend, infrastructure, and deployment.
  • Recent hands-on experience - within the last one to two years - shipping LLM-powered features or AI agents into production.
  • Experience building and launching zero-to-one, customer-facing products.
  • Strong product judgment and the ability to translate ambiguous customer needs into practical technical solutions.
  • Experience mentoring junior engineers and raising standards for code…
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