Full-Stack 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

Backend: deep expertise in Node.js and/or Python (FastAPI); solid grasp of asynchronous programming, RESTful APIs and microservice architectures.

LLM integration: production experience building or supporting features on LLM APIs (Anthropic, OpenAI or similar) — structured outputs, retries and rate limits, streaming, fallbacks, and an understanding of token economics.

Databases: strong PostgreSQL — query optimisation, execution plans, relational schema troubleshooting, transaction isolation levels.

Debugging and observability: practical production troubleshooting with logs, metrics, distributed tracing (trace_id/request_id) and monitoring dashboards.

Testing: Jest, Supertest or PyTest; robust regression tests; familiarity with evaluating non-deterministic (LLM) behaviour.

AI-assisted development: daily fluency with agentic coding tools (Claude Code, Cursor or similar) as a normal working method, including judgement about when AI output needs verification.

LLM observability and evaluation tooling (Langfuse, prompt/trace platforms, eval frameworks).

Docker and standard CI/CD pipelines.

Queue systems or event-driven architectures (Kafka, RabbitMQ).

Security hygiene: dependency vulnerability triage, secrets management.

Analytical, systematic debugging of unfamiliar codebases · systems thinking about how a small config, code or model change hits a broader ecosystem · full ownership from triage to production verification and post-mortem · clear stakeholder communication of root causes · Agile (Scrum/Kanban) with Jira and Confluence.

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