AI/ML Engineer

What You'll Do
We are seeking an AI/ML Engineer to support the design, development, and deployment of enterprise AI, Generative AI, and agentic AI solutions. This role will work within cross-functional delivery teams to build scalable AI capabilities that integrate with business processes, enterprise applications, and data platforms.
The ideal candidate will have strong hands-on experience with Python, LLMs, RAG, prompt engineering, agentic workflows, model evaluation, and production AI engineering. Senior candidates should bring deeper technical leadership, architecture, and delivery experience.
Must-Have
Czech location
Responsibilities
Design, build, and deploy production AI/ML and Generative AI solutions
Develop LLM-powered applications, RAG pipelines, and agentic AI workflows
Build multi-agent and multi-step workflows using LangChain, LangGraph, or similar frameworks
Integrate LLMs with enterprise systems, APIs, tools, and data sources
Develop retrieval, prompt engineering, context management, and tool/function-calling capabilities
Build evaluation frameworks to measure model and agent accuracy, quality, and reliability
Implement AI guardrails, validation, monitoring, and human-in-the-loop controls
Develop scalable Python-based AI services and integrations
Support production deployment, monitoring, and continuous improvement of AI solutions
Partner with engineering, data, product, and business teams to translate requirements into working solutions
Qualifications
Strong hands-on Python development experience
Experience building and deploying AI/ML and Generative AI applications
Hands-on experience with LLMs, RAG, and agentic AI
Experience with LangChain, LangGraph, or similar frameworks
Experience with AI agents, tool/function calling, and multi-step workflows
Strong understanding of prompt engineering and context management
Experience with model/LLM evaluation and production monitoring
Knowledge of AI guardrails, reliability, and responsible AI practices
Experience with MLOps/LLMOps and production AI deployments
Experience with APIs and enterprise integrations
Experience with vector databases and semantic search preferred
Experience with AWS, Azure, or GCP preferred
Preferred Qualifications
Experience building AI solutions in pharmaceutical, biotechnology, healthcare, or another regulated industry.
Experience supporting GxP or other regulated use cases.
Familiarity with Responsible AI, AI governance, security, and privacy requirements.
Experience with vector databases and semantic search.
Experience with CI/CD and cloud-native application development.
Experience working within Agile or product-based delivery teams.

Work arrangement
No