Senior Fullstack/AI Engineer

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