At Pretius, we are looking for an AI Engineer to help optimize AI solutions that drive our digital transformation servicesProject / Role Model deployment with Python and FastAPI, integrating vector databases and embedding models (LangChain, LangGraph, LlamaIndex) Processing large datasets using Pandas and NumPy, with a focus on data engineering, integration, and warehousing Collaborating on projects using multi-agent frameworks (CrewAI, Autogen, Taskweave) Implementing cloud solutions with Azure and Azure Functions; .NET, C#, SQL Server, and Azure PaaS are preferred Maintaining CI/CD pipelines in YAML with Azure DevOps Working in Agile environment RequirementsSkills: Programming Proficiency: Python (FastAPI), RAG (Retrieval Augmented Generation), Prompt Engineering, Vector Database and Embedding models Frameworks: LangChain, LangGraph, LlamaIndex etc. Multi-Agent libraries/frameworks: CrewAI, Autogen, Taskweave etc. Azure Functions Data Processing: Expertise in data manipulation using Pandas, NumPy Cloud Computing: Azure (current focus right now and a must have). Familiarity with cloud platforms, such as Azure and their relevant AI services Familiarity with data engineering concepts, including data pipelines, data integration, and data warehousing. Ability to work with large datasets and perform data cleaning, transformation, and manipulation Soft Skills: Analytical thinking, problem-solving, effective communication. Strong analytical and creative problem-solving skills. Experience working within a fast-paced Agile development environment Hands-on development experience with .NET technology stack, preferred: C#, SQL Server, Azure PaaS, Azure DevOps and CI/CD Pipelines (including YAML) Responsibilities Independently executes and delivers new capabilities with high-quality based on documented requirements Actively participate in both technical and functional discussions relative to ongoing and future user story development Provide input to the development of project initiation documents including objectives, scope, approach and deliverables, when needed Communicate implications of development decisions, issues and plans Establish strong working relationships with the development team, business, operations and other IT team members Participate in and support cross-team process improvement initiatives Assist in the creation and maintenance of application guidelines, standards, policies and procedures and disseminate to IT teams Ensure documentation is captured in a knowledge repository; publicize deliverable location to the organization as necessary Collaborates with technology owners and researches industry trends to assist project development and operational support activities AI Specific experience requirements: Data Handling: Collect, preprocess, and analyze large datasets for training models Deploy AI Solutions: Integrate AI models into existing systems or develop new applications Collaborate with Teams: Work with data scientists and other stakeholders to understand project needs What we offer? We focus on long-term relationships based on fair principles and reliability Co-financing of the Multisport card and Medicover private healthcare Modern office available Team bonding activities, internal courses, conferences, certifications