Senior AI Full-Stack Engineer
Budget: $25.0 - $47.0
HOURLY / FULL_TIME
⭐ 1.00 (1)
USA
javascript, api-development, react-js, node.js, api, api-integration
Qualifiche preferite
- Esperienza: Esperto
We are looking for an experienced Senior AI Full-Stack Engineer to join our growing AI development team and help build modern AI-powered SaaS applications for startups and enterprise clients.
This is not a prompt engineering role.
You will be responsible for designing, building, and deploying production-ready AI systems that combine LLMs, AI agents, automation workflows, APIs, and scalable web applications.
We work on projects ranging from AI assistants and workflow automation to Voice AI, Retrieval-Augmented Generation (RAG), Computer Vision, and enterprise SaaS platforms.
Responsibilities
* Design and build production-ready AI applications.
* Develop scalable backend services using Python and FastAPI.
* Build modern frontend applications using Next.js and React.
* Integrate OpenAI, Claude, Gemini, and other LLM APIs.
* Develop AI Agents using frameworks such as LangGraph, CrewAI, OpenAI Agents SDK, or similar.
* Implement Retrieval-Augmented Generation (RAG) pipelines.
* Work with vector databases including Pinecone, Weaviate, ChromaDB, Qdrant, or PGVector.
* Build secure REST APIs and integrate third-party services.
* Deploy applications using Docker, Vercel, AWS, or GCP.
* Collaborate with designers, project managers, and product owners.
* Optimize performance, scalability, and production reliability.
Required Skills
* Python
* FastAPI
* Next.js
* React
* TypeScript
* OpenAI API
* Claude API
* Gemini API
* LangGraph
* AI Agents
* Prompt Engineering
* Retrieval-Augmented Generation (RAG)
* Vector Databases
* PostgreSQL
* Redis
* Docker
* Git
* REST APIs
Nice to Have
* MCP (Model Context Protocol)
* Voice AI
* ElevenLabs
* Vapi
* Twilio
* LiveKit
* LangChain
* CrewAI
* Computer Vision
* OCR
* Whisper
* Supabase
* Firebase
* AWS
* GCP
* Azure AI
* Kubernetes
What We're Looking For
The ideal candidate has experience shipping real AI products—not just prototypes. You should be comfortable working across the full stack, integrating LLMs into production applications, and solving practical engineering challenges involving AI, automation, and scalable SaaS systems.
Strong communication skills, clean coding practices, and the ability to work independently are essential.
When applying, please include:
* Links to AI products you've built
* GitHub or portfolio (if available)
* Technologies used
* Your role in each project
* A brief explanation of the most challenging AI problem you've solved
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