Senior AI Engineer

Responsibilities

• Develop and launch scalable conversational AI systems that operate across multiple channels, including chat, voice, email, and APIs.
• Architect microservices and asynchronous systems for AI applications, ensuring high availability and performance.
• Use Python to implement orchestration and decision logic — the control layer that manages tools, workflows, and system interactions.
• Optimize AI models through fine-tuning and LoRA integration, making data-driven decisions between different approaches (FT vs RAG).
• Establish prompt engineering libraries and define evaluation protocols for prompt performance.
• Design monitoring and evaluation frameworks, including dashboards, metrics, and human-in-the-loop feedback loops to maintain model quality and trust.
• Work with data specialists to design pipelines for collecting, cleaning, and structuring information for AI agents.
• Design CI/CD pipelines, container standards, and cloud strategies for infrastructure migrations, cost optimization, and high availability.

Requirements

• Strong background in Python, mainly for hooking up AI models, automating stuff, and handling orchestration logic.
• 1–2 years of hands-on experience with Generative AI and large language models (LLMs).
• Practical experience in machine learning engineering: data preparation, working with vector databases in the cloud, and training/optimizing models.
• Strong backend and frontend architecture experience.
• Deep understanding of ML evaluation, tuning, and prompt engineering.
• Experience working with cloud platforms such as AWS, GCP, or Azure, including container orchestration and CI/CD pipelines.
• Experience with agentic frameworks (LangChain, LangGraph) and multi-agent system design.
• Comfort with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn is a plus.

We offer

• Top tech minds driving innovation in AI, cloud and digital platform modernization.
• Supportive team and agile, startup-like culture.
• Hybrid-by-design mode and opportunity to work remotely within Poland.
• Chance to work abroad for up to 60 days annually.
• Business-driven relocation opportunities.

Growth opportunities

• Career development programs.
• Thought leadership, mentoring, soft skills and well-being programs.
• Certification (Anthropic, Gemini, GCP, Azure, AWS).
• English classes.

Benefits

• Stable pay.
• Participation in the Employee Stock Purchase Plan with a 15% discount.
• Benefits package (health insurance, multisport, shopping vouchers).
• Referral bonuses up to $2,000.
• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more.
• Corporate, social and well-being events.

Please note

• Benefits listed above are available to employees only.
• Open to working with contractors; terms of B2B cooperation agreements are agreed individually.
• Only selected candidates will be contacted.