Senior Applied AI Engineer

About us Software lab - Flyps is a high-tech software house with nearly a decade of experience turning complex technical challenges into production-ready products. Clutch 5.0 ⭐⭐⭐⭐⭐ from satisfied customers! Products we helped build were later acquired! (recent exits to Cursor, SpaceX, LlamaIndex, PE) Work with serial entrepreneurs, SF startups, and established businesses that want to stay ahead of market shifts. A highly experienced team, with in-house PhDs and most senior engineers. Work at the technological frontier: An actively developed internal AI harness with access to leading models. Infrastructure for experimenting with local models but don’t worry, we haven’t lost our heads and gone all-in on tokenmaxxing :) The role We're looking for a Senior Applied AI Engineer to build AI systems for our clients and for Flyps itself, and to lead other engineers technically. Our projects cover the whole field: classical machine learning, LLM and multimodal applications, agentic systems, image and speech generation. We build software agent-first: our engineers use coding agents as their main way to write code, and spend their own time on specification, architecture and verification. We don't hire for a framework. Most of our AI work runs on Python and TypeScript, so you should be able to work across the whole stack - backend, frontend, data and deployment. Coding agents make syntax cheap, but you still need to judge whether the result is right. What you'll do Build systems from idea to production, including backend services, data pipelines, integrations and monitoring. Prototype quickly to test an idea before the team commits to a full build. Choose the simplest approach that works - sometimes a gradient-boosted model, sometimes an agent, sometimes no AI at all - and compare options by quality, cost, latency and reliability. Build evaluations and regression tests, so every change shows whether it actually improved the system. Diagnose failures from code, data, logs and execution traces. Work with clients from discovery to delivery: scope projects with sales, agree acceptance criteria, and explain decisions, results and limitations. Build internal AI tools, including our shared agent tooling, and help the whole company - engineers and non-technical teams - work better with AI. Set technical direction, review solutions, and mentor engineers. Test new models, tools and methods, and recommend only what holds up on real tasks. What we're looking for Full-stack engineering: you have shipped production applications end to end, with automated tests, Git and code review. Agentic engineering in daily practice: you build with coding agents, keep them on track in a large codebase, and check their output instead of trusting it. Agentic systems in production: tool use, multi-step workflows, guardrails, and evaluation of agent behaviour. Production experience in at least one more area of AI: classical ML (tabular data, time series), deep learning and computer vision, LLM applications and RAG, or generative media (image, audio, video). Solid ML fundamentals: data quality, choice of metrics, test sets, and telling a real improvement from noise. Technical leadership: you have made architectural trade-offs, explained them, and mentored other engineers. Clear communication with clients and engineers - you can explain a decision and challenge an assumption. Polish C2 and English C1. Nice to have Fine-tuning or distilling open-weight models (e.g. LoRA), running local inference. PyTorch, scikit-learn, XGBoost / LightGBM. MLOps: experiment tracking, model serving, GPU infrastructure. Your own agent harnesses, MCP servers or tools for coding agents. Image or speech generation pipelines. What we offer 26 000 - 33 000 PLN net + VAT monthly, B2B 100% remote setup and flexible hours Private medical care, life insurance, and Multisport Referral bonuses Equipment (MacBook by default) Interesting, challenging projects - we only take on the ones we believe in :-)