AI Engineer
Żwirki i Wigury 16A, Warszawa
Pretius
At Pretius we are looking for AI Engineer in optimizing AI solutions for digital transformation services.
Project / 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
Requirements
Skills:
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
AI Engineer
AI Engineer
Żwirki i Wigury 16A, Warszawa
Pretius