AI Tech Lead

Location: Warszawa (hybrid, 2-3 days a week from the office)
Contract: B2B (preferred), rate: 170-200 PLN netto/hour

 
THE WORK:

• Leading technical initiatives in the AI/LLM/GenAI space across consulting, technology, and operations.

• Mentoring junior engineers on a daily basis, supporting their growth and development.

• Driving business ownership in selected areas—contributing to strategic planning, client interactions, and solution design.

• Researching and evaluating cutting-edge AI models, tools, and frameworks.

• Identifying and assessing opportunities to apply AI to real-world business challenges.

• Designing and building robust, scalable AI-driven prototypes and end-to-end solutions.

• Collaborating with cross-functional teams including developers, designers, and business consultants.

• Supporting internal knowledge sharing and promoting best practices around AI and software craftsmanship.

• Ability and enthusiasm to build and deliver quickly in a fast-paced environment.

HERE’S WHAT YOU’LL NEED:

• Proficiency in Python (or willingness to transition from another language).

• Proficiency in using AI tools like ChatGPT, Cursor, Claude with MCPs.

• Understanding of TypeScript and the ability to build full-stack applications.

• Cloud proficiency, primarily Azure.

• Strong practical knowledge of AI/LLM/GenAI models, their limitations, strengths, and appropriate use cases.

• Experience with prompt engineering, API integration, and building AI-driven applications.

• Familiarity with Agentive AI concepts and the ecosystem of tools for multi-agent architectures.

• Capability to scope and lead AI projects end-to-end, from concept to delivery.

• Ability to clearly communicate technical concepts to non-technical stakeholders.

• Hands-on experience in code quality reviews, test-driven development, or MLOps practices.

• Experience working in Agile/Scrum environments and contributing to product planning and estimation.

TECH STACK

• Languages: Python, TypeScript

• GenAI Providers: OpenAI, Anthropic, Azure OpenAI

• Frameworks & Tooling: LangChain, FastAPI, PyTest

• Cloud Platforms: Azure (primary), GCP, AWS

• DevOps & Infrastructure: Docker, Terraform

If you believe you possess the necessary skills, even if not meeting every requirement, we encourage you to submit your application.

BONUS POINTS IF YOU HAVE:

• A track record of contributions to internal knowledge bases, open-source projects, or tech communities.

• Understanding of business dynamics and an ability to translate abstract client problems into structured AI solutions.

• DevOps skills

• Knowledge about Machine Learning

• Bonus Languages: Java, C#, C++, React, Angular, Flutter