North AmericaFull TimeEngineering
Remotely
gopythonjavakubernetesmicroservicesvector databaseagent platformsfoundationdb
Job Description
📋 Description
- Architect Agentic Runtimes: Build and scale orchestration engines for complex agentic workflows
- Scale Context Engineering Infra: Design high-performance systems for RAG, vector DB integration
- Build the "Evals Engine": Create automated infrastructure for large-scale simulations and
- Productionize AI Workflows: Turn raw LLM capabilities into multi-tenant microservices with
- Optimize Performance & Cost: Direct infra strategy for model routing and token optimization.
🎯 Requirements
- Education: Bachelor’s degree in Computer Science or related field.
- Experience: 7+ years building distributed systems, high-throughput APIs, or backend AI/ML infra.
- Technical Stack: Go or Java for systems; Python for AI orchestration.
- Systems Thinking: DB internals, distributed state, cloud-native architectures (Kubernetes
- Domain Expertise: AI plumbing, vector indices, agent platforms, scalable data pipelines.
- Customer-facing technical experience and strong product judgment.
🎁 Benefits
- Salary: $200,000 – $270,000 USD per year