Job Description
Senior Backend Engineer \| AI Infrastructure \| San Francisco (On-site)
I'm working with a
well-funded AI startup
that's building the infrastructure powering the next generation of autonomous AI agents.
Backed by
top-tier Silicon Valley investors
with over
$30M in funding
, they're tackling some of the hardest engineering problems in AI—turning real-world agent behaviour into structured learning systems that continuously improve model performance.
What you'll be working on
You'll be building highly scalable backend systems responsible for:
- High-throughput telemetry and event ingestion
- Distributed evaluation pipelines
- Large-scale OLAP data infrastructure
- Workflow orchestration and scheduling
- Customer-facing APIs
- AI evaluation and reinforcement learning data pipelines
This is a role for engineers who enjoy solving complex distributed systems challenges rather than building simple CRUD applications.
Tech Stack
- Golang
- ClickHouse
- RabbitMQ
- Temporal
- Kubernetes
- PostgreSQL
- gRPC
- OpenTelemetry
- Next.js
- AWS
You'll be responsible for
- Designing scalable backend services that process millions of AI events
- Building distributed workflow systems for AI evaluation
- Optimising high-performance analytical databases
- Developing APIs powering AI infrastructure products
- Working across backend, data engineering and cloud infrastructure
- Collaborating closely with customers and product teams to shape the platform
What they're looking for
- Strong backend engineering experience in production environments
- Experience building distributed systems at scale
- Solid understanding of API design, data modelling and system performance
- Experience with event-driven architectures, messaging systems or telemetry pipelines
- Comfortable owning services from design through to production
Nice to have
Experience with one or more of the following:
- ClickHouse
- Kafka, RabbitMQ or similar messaging systems
- Temporal or workflow orchestration platforms
- OpenTelemetry
- AI infrastructure, LLM platforms or machine learning systems
📍
Location:
San Francisco (On-site)
If you're a backend engineer looking to work on genuinely difficult engineering problems at the forefront of AI infrastructure, I'd love to tell you more.
Feel free to send me a message for a confidential conversation.
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