AI Automation Engineer (AI Agents / Integrations)

We are looking for an AI Automation Engineer with commercial experience building AI agents, RAG systems, and process automation that actually runs in production.
For us, AI automation is not about demos. We need someone who can walk into a team, understand how people really work, find the processes worth automating, and ship a working solution — including the decision not to use AI when plain automation solves the task better and cheaper.
We work heavily with open-source tools, so tasks are non-standard: you will regularly be handed an unfamiliar product, its repository and its docs, and asked to work out how AI can be plugged into it. A large part of the work is integrating AI agents into our internal systems — with proper access control over the data and logging of every request.

Requirements
2+ years of commercial experience in AI automation, AI integrations, or process automation
Real production cases behind you — systems used daily by real teams, not pet projects or freelance one-offs
AI is your current main specialization, not a side interest
You write and read code yourself (Python, junior–middle level or higher), and can audit code produced by an LLM without an LLM's help
Hands-on experience with:AI agents and multi-step workflows
RAG / knowledge base / QA systems
LLM APIs (OpenAI, Claude, Gemini)
no-code / low-code platforms (n8n, Make, Flowise or similar)

Integrations experience:REST APIs and webhooks
chats, documents, spreadsheets
CRMs and task trackers
SQL for working with internal data

Clear understanding of when to use what:AI agent
RAG / knowledge base
chatbot
classic deterministic automation

Ability to learn an unfamiliar open-source tool from its repository and documentation, and design an AI integration into it
Ability to pull processes out of people through interviews and document what you build
Experience with Git
Full-time availability and readiness to onboard within a week

Nice to have
Combined background in data analytics + development + AI engineering — the strongest profile for us
Open-source contributions or non-trivial public repositories (beyond standard Telegram bots)
Experience with Matrix / Element or other open protocols
Vector databases (Qdrant, Pinecone, Milvus)
Experience with access control and audit logging for systems touching internal data
Docker
English level B1+

What we're looking for We value engineers who think from the business perspective, not from the tool's. You should be able to:
look at a workflow and see where the real time is lost
say out loud when AI is the wrong answer for a task
build a flexible solution adapted to each team, instead of one universal system pushed onto everyone
work without a detailed technical spec and come back with a proposal
take a solution to production, measure the effect, and explain it to non-technical people in plain language

We offer
FIX + KPI from $2,500/month. The exact number depends on your experience and is discussed individually
Payouts 1–2 times per month
Trial period 1–2 months
Remote work
Flexible working hours
Real internal product with a lot of open-source engineering, not template integration work
Fast decision-making process
Freedom to choose the stack and shape the automation roadmap from scratch