Engineering Tech Lead Java AI/LLM, KRAKÓW

What we're looking for

• Proven experience as a Tech Lead, Lead Engineer, or Senior Software Engineer.
• Strong hands-on expertise in Java, Spring Boot, and React.
• Experience with Kafka, PostgreSQL, and Redis.
• Solid knowledge of Kubernetes, Terraform, and CI/CD practices.
• Experience working with AWS, Azure, or GCP.
• Hands-on experience delivering LLM-powered applications into production, including Prompt Engineering, prompt evaluation (e.g. LangSmith, PromptFlow, Braintrust), structured outputs, function/tool calling, and agent orchestration.

Nice to have

• Experience designing autonomous or multi-agent AI systems.
• Knowledge of LLM observability, evaluation frameworks, and responsible AI practices.
• Experience working in highly regulated environments such as banking or financial services.

Engineering Tech Lead (Java | AI/LLM)

📍 Kraków, Poland | Hybrid (6 days/month in the office)
🏦 International Banking Project

🤝 Employment via Antal (B2B or Employment Contract / UoP)

We are looking for an Engineering Tech Lead to drive the development of modern Java-based applications while leading the adoption of LLM, Prompt Engineering, and Agentic AI solutions. This role is ideal for someone with hands-on experience building and operating production-grade AI systems—not someone who has only used generative AI tools.

What we offer

• Long-term project for a global banking client.


• Opportunity to build production-grade AI solutions using the latest LLM technologies.


• International engineering environment with real influence on technical direction and architecture.


• Hybrid work model – 6 days per month from our Kraków office.

,[Lead technical design and architecture decisions while mentoring the engineering team., Design, develop, and deliver high-quality applications using Java/Spring Boot and React., Build and optimize CI/CD pipelines, Kubernetes-based deployments, and cloud infrastructure., Design, test, and optimize prompts for production LLM use cases., Build and maintain Agentic AI solutions, including tool/function calling, multi-agent workflows, evaluation pipelines, observability, and guardrails., Partner with product and business teams to translate business requirements into scalable technical solutions.] Requirements: Java, Azure Cloud, GCP, AWS, Kafka, PostgreSQL, Spring Boot, React, LLM, Kubernetes, AI