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AI Engineer
Skills
APIAmazon Web ServicesApache KafkaCross-Functional Team LeadershipDatabasesEngineeringEnglish
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Shipped at least one LLM-powered system used by real users that took actions in a real system
- Can discuss evals retrieval shape observability of agent traces and handling non-determinism
- Strong software engineering fundamentals with databases Kafka GraphQL REST Kubernetes and AWS
- Proficient in TypeScript
- Product instincts for working with stakeholders
- Fluent in English
Nice to have
- Functional programming background
- OSS contributor
- High-throughput data systems experience
Day to day
- Ship LLM systems that integrate tightly with infrastructure and knowledge bases such as PostgreSQL ClickHouse Kafka APIs and MCPs.
- Maintain autonomous and human-in-the-loop systems while protecting uptime and accuracy.
- Collaborate directly with stakeholders and a cross-functional engineering team to design practical AI solutions and improve existing systems for agent access.
