> Markdown version of [/jobs/ext/1679541-full-stack-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1679541-full-stack-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack AI Engineer - **Company:** Relanto, Inc. - **Location:** San Jose, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Elasticsearch, Python (Programming Language), MongoDB, Node.Js, Redis, Next.js, TypeScript, ReactJS, Large Language Models, Backend, Fastapi, Kubernetes, Front End Software Development, Docker - **Published:** July 31, 2026 - **Apply:** https://www.dice.com/job-detail/88c8819a-6156-4636-bcee-7a87029080cd ## About the Role * Strong Python - async, FastAPI or similar * Strong TypeScript/Node * Next.js and React, including streaming UI * Experience building LLM-backed apps with tool calling and multi-step agents * Understanding of RAG and retrieval quality * Docker, Kubernetes, AWS MongoDB, Redis Nice to have: * LangGraph or LangChain * AWS Bedrock, or an LLM gateway like Portkey * Elasticsearch * OpenFGA or similar fine-grained authorization * Experience evaluating non-deterministic systems Experience level: * 5+ years engineering. Senior IC. Comfortable owning a feature end to end and working without a fully specified spec. Our stack: * Python + LangGraph for agent orchestration on EKS. * Node.js backend. Next.js frontend. AWS Bedrock via Portkey. * Elasticsearch for RAG. * OpenFGA, Redis, MongoDB. ## Description A full stack engineer who can work across our Python agent layer, Node.js backend, and Next.js frontend. Someone who has built LLM applications in production, not just prototypes. ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all) - [Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps](https://www.wearedevelopers.com/videos/966-accelerating-genai-development-harnessing-astra-db-vector-store-and-langflow-for-llm-powered-apps) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)