AI Fullstack Engineer
We are looking for a pragmatic AI Fullstack Engineer for a project-based role with a strong product mindset to build responsive, production-ready web applications by blending solid engineering practices with cutting-edge AI tooling.
If you thrive in environments with evolving or ambiguous requirements, take deep personal ownership of the code you ship, and possess a sharp critical eye for AI-generated output - we’d love to have you on our team!
Responsibilities:
Architect and build responsive, maintainable, and production-ready frontend features using React and TypeScript.
Implement complete product functionality from the client layer to API integration, data transfer, authentication, and server-side interactions.
Utilize modern AI development tools alongside technical requirements to accelerate project delivery and increase overall velocity.
Rigorously review, test, debug, and refine AI-generated frontend and backend code, taking personal accountability regardless of the backend stack.
Build intuitive AI-facing user experiences (AI UX) and integrate LLM APIs centered around end-user product needs.
Requirements:
Upper-Intermediate level of English.
Strong experience with Node.js and/or Python, React, TypeScript, and modern frontend development.
Experience with backend frameworks such as NestJS, Express.js, Fastify, FastAPI, Django, or Flask
Hands-on experience with the React ecosystem: Next.js, Vite, React Router, TanStack Query, Redux Toolkit/Zustand, React Hook Form, Zod/Yup.
Good understanding of REST API design (GraphQL experience is a plus).
Strong SQL knowledge and experience with RDBMS: PostgreSQL, MySQL, MariaDB, or MS SQL Server.
Experience with ORMs and query builders: Prisma, TypeORM, Sequelize, SQLAlchemy, Django ORM, or similar.
Experience with NoSQL or caching tools: MongoDB, Redis, DynamoDB, or similar.
Experience with message queues and event systems: RabbitMQ, Kafka, AWS SQS/SNS, Redis Streams, or similar.
Strong Git knowledge, including branching, pull requests, code reviews, and merge/rebase workflows.
Experience with Docker, CI/CD, and cloud platforms such as AWS, GCP, or Azure.
AI-Related Skills:
Practical experience using AI development tools such as GitHub Copilot, ChatGPT/Codex, Cursor, Claude Code, or JetBrains AI.
Ability to review, test, and safely use AI-generated code.
Experience integrating LLM APIs is a plus: OpenAI, Azure OpenAI, Anthropic, Gemini, AWS Bedrock, or similar.
Understanding of embeddings, vector databases, semantic search, and RAG.
Experience with vector databases is a plus: Pinecone, Qdrant, Weaviate, Milvus, Chroma, or pgvector.
Familiarity with AI frameworks/tools is a plus: LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel.
What We Offer:
Format: 100% remote. You manage your own schedule and work from anywhere in the world — we value delivered results and met deadlines over time tracking or fixed hours.
Work on cutting-edge projects combining modern Web architecture with AI technologies.
A modern digital environment with fast decision-making, pragmatic processes, and clear, structured communication. We value your time as a professional and respect work-life balance.
Access to premium developer tooling and AI infrastructure.