Forward Deployed AI Engineer

Proxify AB; Warszawa; Remote; PLN 300,000 - 420,000; Full time

Job summary

Proxify seeks an AI engineer to own end-to-end delivery of agentic systems for client environments. You will scope, design and lead production deployments, working with client teams and Proxify engineers to ship solutions into production.

You’ll work with data, integrations and security constraints, applying LLMs, RAG and LangChain to build scalable AI agents. Strong Python and English communication are essential; remote-friendly within EU.

Qualifications

• 5+ years in software engineering with CS, ML and generative AI background.
• Track record shipping LLM, RAG and agentic systems to production.
• Hands-on with LangChain, LLMs and AI frameworks.
• Strong Python and solid engineering habits (VCS, testing, code reviews).
• Experience deploying containerized workloads on AWS/GCP/Azure.

Responsibilities

• Understand client architecture, data, and integrations.
• Turn briefs into end-to-end agentic systems in client environments.
• Lead engineers on each project and set technical direction.
• Be the client’s day-to-day technical contact for updates and questions.
• Maintain multiple projects and surface scope changes early.

Skills

Software engineering

Python

Machine learning

Generative AI

LLM pipelines

English communication

Education

Bachelor's degree in Computer Science

Tools

LangChain

vLLM

PyTorch

TensorFlow

AWS

GCP

Azure

Job description

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.

The challenge

You're the AI engineer our clients have hired. You get close enough to their systems, data and processes to have a real opinion about what's worth automating and what isn't the right fit at the moment. You report to our Senior AI Product Manager and who owns discovery, commercials and scoping. The technical call is yours. Then you build it and lead Proxify engineers on the project, working within the client's existing data, integrations and security setup until it runs in production.

What you'll do

• 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.

Must-have

• 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.

Nice to have

• 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.

Why you'll like it

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.

• Location: Stockholm preferred but can be remote within EU
• Travel: occasional client site visits