Founding Engineer
Clera- Location
- London
- Workplace
- —
- Employment
- Full Time
- Salary
- —
Posted 8d ago
About the Role
This is a founding engineering role at a seed-stage AI infrastructure startup building a production-grade LLM gateway that sits at the core of AI-first products. You will work directly with the founders to shape the technical direction and architecture of the platform, making a tangible impact from day one. If you want to leave a real mark on a fast-growing company, or are building toward founding your own startup someday, this role is a rare opportunity to do meaningful work at the ground floor.
What You'll Do
- Design and build backend services that power an LLM routing and observability platform serving production AI workloads.
- Own architectural decisions across a pragmatic microservices stack, balancing scalability with the practical needs of an early-stage product.
- Contribute to the core gateway service written in Go, as well as auxiliary and ML/AI services in Python.
- Select and apply the right database and caching technologies for each problem, across SQL databases and distributed caches.
- Work within and evolve a Kubernetes-based infrastructure, redefining the stack as the product grows.
- Collaborate closely with the founding team to translate product goals into robust, efficient engineering solutions.
What We're Looking For
- 5 or more years of experience building backend services in a compiled language, with strong preference for Go.
- Solid, practical understanding of concurrency and demonstrated experience applying it in production systems.
- Hands-on experience selecting and using different database and caching technologies appropriately.
- Ability to design architectures that are both scalable and pragmatic, calibrated to where a product actually is.
- Strong judgment around tradeoffs between quality, speed, and completeness when building minimal but correct products.
- A track record of independently picking up new technologies and running with them.
- Experience with Kubernetes is a strong plus.
- Background in AI or LLM infrastructure, or developer tooling, is a plus.
Compensation & Benefits
Competitive total compensation package with significant equity. Visa sponsorship is not available for this role.
Location
On-site in London, England, United Kingdom.
Skills
- LLM
- Go
- Machine Learning
- Azure AI Services
- Python
- SQL
- Kubernetes
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