We are looking for an experienced Senior Fullstack / AI Engineer who will be responsible for end-to-end feature development — from building intelligent AI agents on the backend to visualizing them through intuitive user interfaces.
Why you’ll love this project: We have absolutely zero legacy code. Our entire stack is bleeding-edge (running the latest versions). We don’t just “plug in an OpenAI API key” — we are building a complex distributed system featuring RAG architecture, vector search, event streaming, and big data analytics. Our Tech Stack Frontend: * Interfaces & Build Tools — Vue 3 / React, TypeScript
Backend: * Core Frameworks — Node.js (LTS) + NestJS (core business logic), Python + FastAPI (AI services, orchestration, data processing)
AI & ML: * LLM & Orchestration — OpenAI, Anthropic, Google
Data Storage & Messaging: * Data Infrastructure — PostgreSQL, ClickHouse, Qdrant, Kafka, Redis, S3 / MinIO
Key Responsibilities * Develop end-to-end functionality: from complex interactive interfaces and dashboards to distributed backend services using NestJS and Python. * Design and maintain a microservices architecture, ensuring seamless interoperability between Node.js and Python services. * Design and optimize data storage schemas across a heterogeneous environment (PostgreSQL, ClickHouse, Qdrant). * Implement asynchronous inter-service communication and event streaming via Kafka. * Integrate AI components, managing embeddings and semantic search functionality within Qdrant. * Optimize application performance, build times, and data processing pipelines. * Design and evolve the AI architecture: integrating OpenAI/Anthropic models, managing context windows, and optimizing token consumption (tiktoken). * Build and tune RAG (Retrieval-Augmented Generation) pipelines using LangChain and Qdrant vector database.
What We Are Looking For * Experience Required: Senior, 4–5+ years in product development, with hands-on experience in LLM integration and data engineering * Strong Fullstack Background: Deep knowledge of Node.js, Worker threads, and the NestJS ecosystem (solid understanding of Dependency Injection, Modules, Guards, Interceptors, and Pipes). Proficient in TypeScript (Vue 3, NestJS) and a proven track record of backend development with Python. * Hands-on AI/LLM Experience: A solid understanding of prompt engineering, LangChain chains, embeddings, and semantic search. You know exactly how Claude differs from GPT in production environments. * Vector DB Expertise: Practical experience with Qdrant (or similar vector databases) — including indexing, similarity search, and vector tuning. * Data Infrastructure Literacy: Experience working with distributed systems, message brokers (Kafka), and analytical databases (ClickHouse). * Database Mastery: You clearly understand when to query PostgreSQL, when to aggregate data in ClickHouse (OLAP vs. OLTP), and how vector indexes operate in Qdrant. * Infrastructure Horizons: Experience with caching (Redis), object storage (S3/MinIO), containerization (Docker/Kubernetes), and the AWS ecosystem. * Mindset: Strong analytical skills, a product-driven mindset, the ability to architect fault-tolerant systems, and a dedication to writing clean, maintainable code (SOLID, OOP/FP patterns).
What We Can Offer You: * Consistent monthly payment based on invoices (payments are made via bank transfer/ Payoneer or PayPal). * Remote working from 14:00 to 23:00 EEST, including a one-hour break. * Supportive work/life balance: paid vacation and sick leave. * Opportunities for professional and career growth and development. * Opportunity to use modern approaches and tools to solve business problems.
Our recruitment process: * Interview with HR * Technical interview with team leaders
