AI Technical Lead

About your project/work

As an AI Technical Lead, you’ll work with a team building production-ready agentic AI systems and LLM-powered applications. You’ll keep growing your skills in multi-agent architectures, orchestration, evaluation, and modern AI engineering practices. You’ll work closely with AI Engineers, AI-UX Designers, QA Specialists, and Product Managers who care about solid technical work and shipping products that matter.

You’ll have a real impact on how the company works, how methodology and the offer are shaped, and you’ll get to collaborate with people from the industry.

You meet all our criteria if you have

• 5+ years of commercial experience, including at least 2 years on AI-based projects in production.
• Strong background in TypeScript, Node.js, React, and Next.js.
• Proven experience leading AI projects end to end, from scoping and estimation to production rollout.
• Solid understanding of RAG architecture, vector databases, and LLM integrations.
• Experience with multi-agent frameworks, workflow orchestration, validation, and observability.
• Familiarity with textbots, voicebots, image/video generation, avatars, and automation systems.
• Strong knowledge of AI models and providers, including cost optimisation and API management.
• Good command of Python and libraries such as PyTorch, TensorFlow, or scikit-learn.
• Strong client communication skills, with the ability to define architecture and guide the team.
• Fluent written and spoken English and Polish, at least B2 level.
• Strong understanding of prompt engineering, tool usage, reasoning control, context management, and hallucination mitigation.
• Experience with advanced LLM patterns, including function/tool calling, structured outputs, MCP workflows, and agentic orchestration.
• Understanding of AI evaluation methods and prompt optimisation workflows.

Nice-to-haves

• Experience with React Native, Meteor, GraphQL, and Apollo.
• Background in startup or agency environments.
• Experience with AI security, red teaming, or open-source contributions.
• Involvement in tech communities.

Your responsibilities will include

• Designing, leading, and implementing production-ready, AI-driven solutions, including multi-agent architectures and RAG-based systems.
• Conducting technical discovery and estimation sessions with clients, translating requirements into architecture and implementation plans.
• Advising product and tech teams on AI strategy, tool selection, and long-term scalability.
• Ensuring technical excellence, code quality, and mentoring team members.
• Supporting the adoption of AI-UX and agentic design principles across products.
• Monitoring the performance and resilience of deployed systems to maintain quality over time.

What success looks like after 6 months

• Led 1–2 agentic projects end to end, from discovery through production launch.
• Established strong architecture standards for RAG and agentic systems.
• Mentored 3–5 engineers and helped raise the team’s technical bar.
• Improved production systems by reducing hallucinations, latency, and infrastructure costs.

Perks & Benefits

• Team-building & Company Events: team activities such as go-kart races, board games, and trips.
• Flexible working hours: no strict office hours.
• Training budget: support for development areas such as AWS, Domain-Driven Development, and public speaking.
• Personal branding: support for blogging, social media, conferences, meetups, workshops, and other initiatives.