AI Engineer

Job Description

What will you do?

• Pick the right tools and architecture for each client — LLM providers, orchestration, observability, deployment, whatever the project needs
• Design and build AI solutions: agentic workflows, integrations, and custom software when off-the-shelf doesn’t cut it
• Work directly with clients to shape the approach and deliver things that actually matter
• Own what you build — from first commit to production
• Keep security in mind from the start
• Stay current — this space moves fast and that’s part of the job
• You’ll likely work with: Python, FastAPI, TypeScript, React, Docker, GCP (primarily), Anthropic/OpenAI/Google, Langfuse, Databricks, BigQuery, Airflow, n8n, MCP

What is needed for this position?

• Proven software background — startup, scale-up, or otherwise. You’ve built and shipped real things with track record
• Solutions-oriented — you evaluate options, pick the right tools, and make them work together
• Hands-on LLM experience — an agent, workflow, or integration. Good news: side projects count as well.
• Already using agentic tools like Claude Code as part of how you work
• Comfortable with deployment and infrastructure — you own what you build end to end
• Fast and resourceful — you figure things out and ship
• Client-facing capable — clear communicator, comfortable with non-technical stakeholders
• Based in the EU (required). Fluent English; Estonian is a HUGE plus.
• Bonus: experience with data pipelines or messy real-world datasets

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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