Forward deployed AI engineer for agentic systems

Founded in 2018 and headquartered in Stockholm, Proxify helps 2,500+ companies worldwide scale their technical teams. The Financial Times ranked us as Sweden's 3rd fastest-growing company in 2025. Our clients increasingly need more than extra engineers. They need someone who can find where AI agents actually pay off and ship them into production.

• Get under the hood of each client's architecture, data and integrations.
• Turn a scoped brief into an agentic system running in the client's own environment, end to end.
• Lead the engineers on each project and set the technical direction.
• Be the client's day-to-day technical contact: updates, questions, and the things that were clear on paper but not in practice.
• Keep several projects moving at once, and surface scope changes instead of agreeing to them on the spot.

• 5+ years in software engineering, with a background in computer science, machine learning and generative AI.
• A track record of shipping LLM, RAG and agentic systems to production and keeping them running, with the depth to work out why a model behaves the way it does.
• Hands-on with RAG pipelines (vector databases, streaming, multi-tenancy), multiple LLM providers, and frameworks like LangChain, vLLM and PyTorch or TensorFlow.
• Strong Python, solid engineering habits (version control, testing, code review) and containerized deployments on AWS, GCP or Azure.
• Quick to pick up an unfamiliar codebase and build inside someone else's stack.
• A solution-based, consultative approach. You start from the client's problem, not from the tool or product you'd like to sell them.
• A strong communicator in professional English. You can lead a client conversation and explain technical decisions to people who'll never read the code.
• Self-directed. You run with a brief without needing someone to check in on you.
• Будет плюсом: Things you've built on your own time, such as side projects, open source or agent experiments, and the story of why you built them; Real experience with LangGraph, CrewAI, AutoGen or the OpenAI Agents API; Time at a startup or scale-up where priorities shift quickly

• You'll see a wide range of companies and problems in a short time, so the work never gets repetitive.
• There's no fixed playbook, so the ownership is real and the systems you build are yours to get right.
• You'll work directly with clients, with strong backing from leadership to move fast.