AI Engineer

Industry: Accounting

Remote work: Remote work with occasional visits to the office

Assignment type: B2B

Project length: 12 months

Project language: Polish / English

RESPONSIBILITIES:

• Collecting, preprocessing, and analyzing large datasets for training models.
• Integrating AI models into existing systems or develop new applications.
• Working with data scientists and other stakeholders to understand project needs.
• Independently executing and delivering new capabilities with high-quality based on documented requirements.
• Actively participating in both technical and functional discussions relative to ongoing and future user story development.
• Providing input to the development of project initiation documents including objectives, scope, approach and deliverables, when needed.
• Communicating implications of development decisions, issues and plans.
• Establishing strong working relationships with the development team, business, operations and other IT team members.
• Participating in and supporting cross-team process improvement initiatives.
• Assisting in the creation and maintenance of application guidelines, standards, policies and procedures and disseminate to IT teams.
• Ensuring documentation is captured in a knowledge repository; publicize deliverable location to the organization as necessary.
• Collaborating with technology owners and researches industry trends to assist project development and operational support activites.

REQUIREMENTS:

• Master’s degree in computer science, engineering, software development or a related field.
• 4 years + of experience in Python (FastAPI).
• 1-2 years of experiece with AI/ML solutions.
• 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
• Expertise in data manipulation using Pandas, NumPy.
• Microsoft Azure and its 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.

NICE TO HAVE:

• Hands-on development experience with .NET technology stack preferred; C#, SQL Server, Azure PaaS, Azure DevOps and CI/CD Pipelines (including YAML).

WE OFFER:

·     Medicover and Multisport.

·     Attractive remuneration in the B2B model depending on your competencies and experience.

·     Transparently built relations.