AI Engineer (GenAI)
Indexed description
- Consulting — with a focus on strategy, investment analysis, and digital process improvement;
- IT Team Augmentation — helping clients scale and strengthen their tech teams.
You will have the following responsibilities:
- Refine GenAI user stories end-to-end, including acceptance criteria and dependencies, ensuring clarity and completeness before final validation;
- Own the GenAI scope and ensure alignment with the Enterprise Architecture (EA) team on scope, complexity, and estimates;
- Assess and validate the impact of GenAI on EA, covering feasibility, risks, and architecture, data, and security implications;
- Act as technical partner for the team on GenAI-related decisions and cross-functional coordination.
- Fluent and proficient usage of Agentic Development Tools as part of daily software development workflows (e.g. Claude Code), with strong command of Skills, MCP servers, Rules, and Commands;
- Thorough understanding of Agentic Systems design patterns and techniques;
- Proficiency in Python, vector stores, semantic search, prompt engineering, and LLM call parametrization;
- Hands-on experience with serverless architectures and AWS services, with the ability to own, maintain, and extend GenAI services integrated into production applications;
- Working knowledge of DBT and Snowflake;
- C1 level of English or above.
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