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Posted 9 hours ago
Senior Software Engineer, AI Platform
DexmateSenior Software Engineer, AI Platform
Requirements
5+ years software engineering experience, Production experience with Python or TypeScript, Backend expertise in Go, Rust, or Node.js, Frontend proficiency in React and Next.js, Experience deploying LLM-powered systems in production, Proficiency with Docker and Kubernetes
Skills
PythonTypeScriptReactLLMGoKubernetes
About the role
About the Company
Dexmate is building the foundation for physical AI — a unified platform that combines high-quality robotic hardware with a universal Physical AI OS, making robots as easy to build and deploy as software. Our mission is to democratize robotics by lowering the barrier to entry through a plug-and-play platform for developers, researchers, and enterprises.
Responsibilities
- Design, implement, and deploy production-grade AI agents including multi-step reasoning pipelines and multi-agent coordination
- Build agent harnesses for context management, tool definitions, memory, and observability
- Engineer context pipelines using dynamic retrieval, re-ranking, and GraphRAG
- Implement production-grade reliability including retry logic, cost controls, and structured output validation
- Develop systematic evaluation frameworks and observability traces to measure agent quality
- Architect and implement scalable backend services and APIs in Go, Rust, or TypeScript/Node.js
- Build clean, functional web interfaces in React/Next.js for operator dashboards and engineering tooling
- Treat prompt engineering as a first-class engineering discipline with rigorous testing and versioning
Requirements
- 5+ years of professional full-stack software engineering experience
- Strong command of Python and/or TypeScript at a production level
- Backend depth in Go, Rust, or TypeScript/Node.js including REST/GraphQL and PostgreSQL
- Frontend proficiency in React, Next.js, and TypeScript
- Experience with Docker and Kubernetes for service deployment
- Proven hands-on experience building and deploying LLM-powered systems or AI agents in production
- Experience with LLM APIs (Anthropic, OpenAI) and agentic frameworks (LangChain, LangGraph, or similar)
Preferred Qualifications
- Understanding of context engineering, GraphRAG, and hybrid search
- Experience with durable execution patterns like Temporal
- Experience with vector databases such as Pinecone, Weaviate, or pgvector
- Background in robotics, industrial automation, or IoT
- Experience designing multi-tenant platforms or internal developer platforms
- Familiarity with AI security, prompt injection risks, and sandboxed execution
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Dexmate · Fremont
