Founding Engineer / Member of Technical Staff

sartre group San Francisco Bay Area
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AI Summary

Join a newly funded AI startup as a founding engineer to build AI systems from scratch, work directly with the founder, and shape both product and architecture.

Key Highlights
Build AI systems from scratch
Work directly with the founder
Shape both product and architecture
Key Responsibilities
Designing and building AI voice agents interacting with real users
Embedding LLMs directly into operational workflows
Building real-time decision systems handling high volumes of interactions
Technical Skills Required
Python Next.js / TypeScript GCJ LLMs and agent frameworks Embeddings and vector systems Real-time decision systems
Benefits & Perks
$150k–$220k base salary
Meaningful early equity
Visa sponsorship possible for exceptional candidates
Nice to Have
Experience working on AI agents, LLM infrastructure, or applied AI systems in production

Job Description


Role: Founding Engineer / Member of Technical Staff

Company: Venture-backed AI startup (early stage)

Location: San Francisco, CA (in-office)

Funding: ~$5M Seed

Compensation: $150k–$220k base + meaningful early equity

Visa: Sponsorship possible for exceptional candidates


Why this role is interesting


  • Join as one of the first engineers at a newly funded AI startup
  • Build AI systems from scratch, not maintain legacy platforms
  • Work directly with the founder shaping both product and architecture
  • Apply LLMs, agents, and real-time systems to a large real-world industry


About the company


You could be joining a recently funded startup building an AI-native platform using large language models, AI agents, and real-time decision systems to modernise parts of the insurance industry.


The company recently raised a $5M seed round and is now hiring some of its first engineers to help build the core platform.


As an early engineer, you would play a key role shaping both the technical foundations and the product direction as the company scales.


Technology


Current stack includes:


  • Python
  • Next.js / TypeScript
  • GCP
  • LLMs and agent frameworks
  • Embeddings and vector systems
  • Real-time decision systems


Problems you could be solving


  • Designing and building AI voice agents interacting with real users
  • Embedding LLMs directly into operational workflows
  • Building real-time decision systems handling high volumes of interactions
  • Integrating AI systems with complex legacy infrastructure
  • Shipping production systems quickly in a small founding engineering team


What we’re looking for


  • Strong full-stack engineering ability
  • Experience building production systems involving LLMs or applied AI workflows
  • Ability to design and build systems from zero to one
  • Comfort working in early-stage startup environments
  • Strong ownership mindset and product thinking


Ideal background


  • Experience working on AI agents, LLM infrastructure, or applied AI systems in production
  • Engineers who enjoy solving difficult problems, moving quickly, and building new systems from scratch will thrive in this environment.
  • The team works closely in person in San Francisco, which suits engineers who enjoy high ownership and fast iteration.
  • Candidates already based in the US are welcome, and the company is also open to relocation from Europe or other regions.
  • Visa sponsorship available for exceptional candidates.


Who this role is great for


This role tends to suit engineers who:


  • Enjoy building systems from scratch rather than maintaining legacy codebases
  • Want high ownership and direct influence on product direction
  • Are excited by LLMs, AI agents, and applied AI systems
  • Prefer small, high-velocity teams over large engineering organisations


Compensation


$150,000 – $220,000 base salary

Meaningful early-stage equity

Compensation may be higher depending on experience.


If you are interested in building ambitious AI systems early in a company’s journey and working closely with a founding team, we would be happy to hear from you.


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