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