Forward Deployed Engineer - AI Solutions

Introduction to offer

You sit with the business, not behind it. As a Forward Deployed AI Engineer, you’ll work side by side with our clients’ teams, find the problems worth solving, and ship AI products that solve them in weeks, not quarters. Part of the job is telling clients honestly what makes sense and what doesn’t, and explaining why. You own the whole path: from the first conversation with a business owner, through scoping, estimating, and budgeting the work, to a working prototype and a product in real use.

Can’t remember how to derive the backpropagation formula? Last saw a partial derivative in your second year at university? Don’t worry, nobody here will ask you to prove your loss function is differentiable. In this role, success means business impact. You’ll use foundation models, APIs, and modern AI frameworks to build products that solve real problems. You’ll prototype quickly, put things in front of users early, and use what you learn to decide what to build next. The AI landscape changes every few months, so you’ll need to pick up new tools and approaches as fast as they appear and judge which ones matter.

You’ll have a lot of autonomy and real influence. We’re looking for someone who spots opportunities, proposes solutions, and drives them forward without waiting to be told what to do. You’ll also help shape the strategy and growth of our AI business unit, so what you learn on projects will directly influence where we go next.

What we offer

AI Grant - Stop talking about AI and start building it. Our AI Grant gives you a dedicated budget and resources to turn your wildest AI idea into a working project, backed by two paid weeks to focus on nothing else.

AI Center of Excellence - Work alongside specialists in agentic AI, sovereign AI, generative and discriminative AI. This isn’t a siloed team - it’s the people you’ll learn from and build with daily.

Your tools, your choice - Full access to AI-powered development tools including Claude, Cursor, and GitHub Copilot. Pick what works best for you.

Real project variety - From generative AI for legal document compliance, through agentic systems in manufacturing environments, to enterprise-scale AI platforms, computer vision, and autonomous driving. You won’t get bored.

Conference and speaking support - Want to attend conferences? We’ll back you. Want to speak at them? Even better - we’ll support you with dedicated preparation time and bonuses.

Your tasks

• Working closely with client business teams to turn their ideas into concrete, buildable product concepts
• Prototyping rapidly, testing with real users, and deciding what to scale, pivot, or drop
• Scoping, estimating and budgeting projects, including identifying key risks and mitigation strategies, and clearly communicating to clients what is worth building and what is not
• Building and shipping LLM-powered products, including assistants, agentic workflows and integrations with business systems
• Bringing a product perspective by defining success metrics, prioritising by business value and measuring real impact
• Proactively proposing solutions and keeping up with new models and tools as the landscape evolves
• Contributing to the strategy and growth of the AI business unit, from service offerings to reusable solutions

Requirements

• At least 4 years in software engineering, including shipping LLM-based applications that real users rely on
• Pragmatic Python skills and hands-on experience with LLM APIs, RAG, tool calling, and agent frameworks (LangChain, LangGraph, Semantic Kernel, or equivalent)
• Daily, practical use of AI software development tools such as Claude Code, GitHub Copilot, or Cursor
• A product mindset focused on MVPs, user feedback, and measurable outcomes
• Excellent communication skills, with the ability to explain technical trade-offs clearly to business stakeholders
• Experience scoping and estimating software or AI projects, including effort, cost, and risk
• A self-starter attitude with an ability to take ownership, work with minimal supervision, and learn new technologies fast
• Advanced level of Polish and English
• Residency in Poland

Nice-to-have requirements

• Frontend skills for quick prototypes and demos (e.g., React, Streamlit, Gradio)
• Startup, product company, or founder experience
• Background in a specific business domain (financial services, manufacturing, healthcare, public sector)
• Working knowledge of a major cloud platform (Azure, AWS, or GCP)