Andersen Lab
AI

AI engineer

Andersen Lab · Kraków, ML, PL

Actively hiring Posted about 1 month ago

Summary

Andersen is hiring an AI Engineer to develop intelligent solutions and support international digital projects across multiple industries.

Andersen is a pre-IPO software development company providing a full cycle of services. For over 19 years, we have been helping enterprises and middle-sized firms worldwide transform their businesses by creating effective digital solutions using innovative technologies.

Today, we are working with organizations from various parts of the world, including North America, Western Europe, Israel, Australia, and the UAE. Our expertise covers FinTech, Healthcare, Retail, Telecom, Media & Entertainment, Logistics, Travel & Hospitality, eCommerce, and other industries.

Responsibilities

  • Building and delivering fullstack features (backend + React frontend).
  • Implementing AI-powered functionality (LLM integrations, agent workflows).
  • Collaborating with the Tech Lead on system design and follow established architecture.
  • Contributing to testing and improving reliabiliting of AI-driven components.
  • Working within existing infrastructure (CI/CD, deployments, monitoring).
  • Delivering production-ready, maintainable code.

Requirements

  • Eperience with Python for 5+ years.
  • Strong frontend skills with React — ability to build production-ready UIs.
  • Experience building fullstack applications (backend + frontend integration).
  • Practical experience with LLM-based features: working with APIs, prompt engineering, basic understanding of RAG.
  • Understanding of AI agent concepts, with ability to implement flows (not necessarily design from scratch).
  • Experience with AI-assisted development tools (e.g., Claude, Cursor, Copilot).
  • Experience working with CI/CD and cloud environments (as a user).
  • Good testing practices (unit/integration).
  • Ability to work in a fast-paced, startup-like environment.
  • Experience with RAG pipelines, embeddings, vector databases.
  • Exposure to LangChain / LangGraph (or similar frameworks).
  • Experience building SaaS platforms.
  • Experience with conversation-based UIs.
  • Basic understanding of security best practices (auth, data protection).
  • Level of English – from Upper-Intermediate and above.

Desired skills

  • Exposure to LLM-related testing.

Other important skills for the vacancy are described in the

knowledge matrix

Reasons to join us

  • Andersen cooperates with such companies as Siemens, Johnson & Johnson, AstraZeneca, BNP Paribas, Allianz, Ryanair, TUI, Verivox, Media Markt, etc..
  • For the past four years, our company has been growing annually by 60–100%, and we constantly involve top-notch specialists in our team.
  • Andersen has mentoring and adaptation systems for new employees, and transparent performance review and assessment systems will allow you to determine your development path and plan your growth.
  • The most important thing that we value in our employees is a commitment to continuous learning. The company supports them in this and gives them access to the best educational platforms, seminars, and practices. In addition, for over 19 years, Andersen has assembled a huge knowledge base and established a robust resource management institution.
  • We have been strengthening our expertise since 2007. During this time, we have formed excellent teams with streamlined processes, where you can learn something new from your colleagues every day and enjoy your work.
  • We are a cool young team of like-minded people communicating informally.
  • You'll have a stable and competitive salary and an extensive benefits package.
  • At Andersen, we have many different ways to grow. You can improve as a specialist or a manager, and all your activities will be decently rewarded.

Join us!

Locations

Worldwide

Tags & focus areas

Used for matching and alerts on DevFound
Ai Ai Engineer Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.