Full Stack Engineer (AI Systems)
Core
Build end-to-end AI-native product experiences integrating LLMs, memory systems, and external tools into scalable, production-ready workflows for an intelligent communication assistant.
Role type
Full Stack Engineer (AI Systems)
Builds
AI-native communication platform features with multi-step reasoning, persistent context, and seamless task execution.
Domain
AI / Software Engineering
Deliverable
production ML models | product features
Required skills
Full stack software engineering, System design, API development, LLM integration, RAG implementation, AI agent workflow design, Streaming UI development, System reliability engineering
Preferred skills
Next.js, Python, Node.js, PyTorch, Kubernetes, Docker, SQL/NoSQL databases
Technologies
Next.js, Python, Node.js, PyTorch, OpenAI, Anthropic, Kubernetes, Docker, SQL, NoSQL
Responsibilities
Build end-to-end product features across frontend, backend, and AI integrations; Design and develop AI agent workflows supporting planning, tool usage, and failure recovery; Integrate LLMs and memory systems into scalable applications; Design responsive AI interactions with streaming capabilities; Improve system reliability and observability for AI features; Collaborate with product and ML teams to deliver features from concept to production.
