Senior AI Engineer

🔥 20 hours ago

🇺🇦 Ukraine – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Avenga

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🏭 Manufacturing

🏥 Healthcare

💰 Private equity on 2017-02

Consulting • Manufacturing • Healthcare

Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.

📋 Description

• Design and develop AI agents, prompts, skills, MCP servers, and agentic workflows • Collaborate with Data Scientists, Data Analysts, and the Product Owner to capture technical and business knowledge and convert it into reusable AI context, skills, and agents • Review, refactor, and extend Python and SQL resources for AI consumption • Work with Snowflake data structures, semantic views, and semantic models to support data-driven agentic workflows • Assess AI agent recommendations for correctness, reliability, bias, and business relevance • Design and automate AI evaluation processes and frameworks for non-deterministic AI outputs • Apply prompt engineering and context engineering techniques to improve AI solution quality and reliability • Follow software engineering best practices, including clean code, Git, testing, CI/CD, and code review • Continuously explore and adopt modern AI engineering tools, frameworks, and approaches

🎯 Requirements

• Hands-on experience with modern AI coding environments such as Claude Code, Codex, GitHub Copilot, AWS Kiro, or similar • Strong prompt engineering and context engineering skills • Practical experience building AI agents, workflows, skills, and MCP servers • Solid software engineering fundamentals, including Python, SQL, Git, CI/CD, testing, and clean code practices • Experience with AWS Kiro and Quick, or multiple AI coding environments/harnesses (nice to have) • Experience evaluating non-deterministic AI outputs and building AI evaluation frameworks (nice to have) • Experience with Snowflake, semantic modelling, Tableau, Power BI, or data science workflows (nice to have)

🏖️ Benefits

• Equal opportunities in recruitment, career development, and leadership • Diverse and inclusive work environment