AI Developer

Quick Facts

• Role: AI Developer

• Focus: GenAI/LLM, RAG, and MLOps/LLMOps on Microsoft Azure; integration with business systems; AI Governance/AI Act compliance.

Description

Join a strategic digital transformation program to build a modern ecosystem supporting claims processes and advanced AI/GenAI solutions. You will design, tune, and deploy AI/ML and GenAI solutions using Azure AI Foundry and Azure Machine Learning, including RAG with Azure AI Search and LLMs via Azure OpenAI. You’ll also implement MLOps/LLMOps pipelines and integrate AI into business systems via REST APIs.

Responsibilities

• Design, tune, and deploy advanced AI/ML models and GenAI solutions with Azure AI Foundry and Azure Machine Learning.

• Build and optimize MLOps/LLMOps processes using Azure ML, MLflow, Docker, Kubernetes, and CI/CD systems.

• Integrate AI solutions with the new ecosystem of systems.

• Implement advanced RAG solutions using Azure AI Search and work with the latest LLMs in Azure OpenAI.

• Support AI Governance and AI Act compliance through technical documentation and model monitoring.

• Collaborate with business and IT teams, present results, and support AI rollout and adoption.

Requirements

• Minimum 3 years of experience as an AI Engineer, AI Developer, or related role, including at least 1 year on production deployments.

• Practical experience designing and implementing GenAI/LLM and AI agent solutions.

• Very good Python knowledge.

• Experience building and maintaining MLOps/LLMOps using Azure Machine Learning, MLflow, Docker, Kubernetes, and CI/CD tools.

• Experience with LLMs, RAG solutions, and Prompt Engineering.

• Good knowledge of Microsoft Azure, especially services for building AI/GenAI solutions.

• Experience integrating AI solutions with business systems using REST APIs and asynchronous communication/integration platforms.

• Experience with source code management tools: Git, Azure DevOps, or GitHub.

• Ability to assess the quality of AI-generated outputs and use evaluation results for optimization.

Benefits

• B2B contract employment.

• Hybrid work model: 3 days per week in the Warsaw office.

• Professional recruitment process with feedback regardless of the outcome.