Senior AI & Cloud-Native Engineering Lead – LLM and DevOps Expertise

Unleash Innovation at the Intersection of AI, Cloud-Native Systems & DevOps

Hybrid opportunity in Kraków — 4 days remote per week.

As a Senior AI & Cloud-Native Engineering Lead, you will be working for our client, a pioneering technology company shaping the future of intelligent systems. You will lead the design and delivery of production-quality AI services, develop agentic systems, and optimize DevOps pipelines within a modern cloud-native environment, driving impactful innovations in large language models (LLMs) and automation.

Your main responsibilities:

• Lead the development, deployment, and maintenance of high-quality production AI services, ensuring alignment with business controls.
• Design, optimize, and iterate prompts for a broad spectrum of LLM use cases including instruction following, structured output, classification, summarization, and code generation.
• Build and manage prompt libraries with versioning strategies, treating prompts as critical engineering artifacts.
• Collaborate with product and domain teams to translate business needs into precise prompt specifications and AI workflows.
• Architect and implement agentic AI systems such as autonomous agents, multi-agent pipelines, tool-use workflows, planning loops, and memory-augmented reasoning modules.
• Enhance observability of LLM operations through logging, tracing, evaluation pipelines, and safety guardrails, maintaining system reliability.
• Provide expertise on responsible AI deployment, integrating output validation, human-in-the-loop design, and risk mitigation strategies.

You’re ideal for this role if you have:

• At least 7 years of experience in software engineering, with a focus on AI or cloud-native solutions.
• Strong proficiency in Java / Spring Boot, including REST APIs, event-driven services, security, and performance tuning.
• Solid React development skills and experience with API integration.
• Hands-on experience working with relational and in-memory databases such as PostgreSQL and Redis.
• Experience with messaging and streaming platforms like Kafka or equivalent.
• Proven expertise engineering prompts for production LLM applications, understanding of tokenization, context limits, temperature tuning, and model-specific parameters.
• Familiarity with prompt evaluation frameworks and tooling (e.g., PromptFlow, LangSmith, Braintrust) or custom evaluation pipelines.
• A good understanding of Kubernetes deployments, services, ingress, Helm, Kustomize, HPA, and RBAC.
• Experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) and Infrastructure as Code (Terraform).
• Hands-on knowledge of cloud platforms such as AWS, GCP, or Azure.

It is a strong plus if you have:

• Certifications or experience integrating AI in enterprise environments.
• Background in responsible AI practices, output validation, and human-in-the-loop systems.

Language Required for the role:

• Fluent English, with excellent communication skills.

Eligibility for the role:

• Only candidates with an existing legal right to work in the European Union will be considered for this role.

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Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.