Founding Engineer / Member of Technical Staff
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
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
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:
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- 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
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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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