AI Engineer (EU)

Job Description

Insight Global is seeking an AI Engineer for a top data and analytics client. This individual will play a key role in designing and delivering agentic AI systems that leverage large language models to perform real, governed actions across enterprise platforms. The ideal candidate is a strong backend engineer with hands-on GenAI experience who understands both the power and limitations of AI, and can confidently take solutions from early proof-of-concept through production deployment. This role requires close collaboration with product, governance, and engineering teams to ensure AI solutions are reliable, secure, and ready for enterprise-scale impact.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

Experience with multi-agent systems

Prior work in enterprise environments with governance and approval workflows

Experience integrating AI agents with enterprise APIs and systems

Exposure to monitoring, observability, and tracing for AI services

Experience mentoring or setting engineering best practices

Background in regulated or high-stakes environments where AI accuracy is critical 2-3 years of hands-on experience working with AI / GenAI systems

Strong backend engineering background (Python)

Experience designing and implementing agentic AI systems

Tool-using agents

Multi-step workflows

Agent orchestration

Hands-on experience with LLMs and GenAI frameworks (LangChain or similar)

Deep understanding of how GenAI systems work, including limitations and failure modes

Experience evaluating and validating GenAI responses to prevent stakeholder-facing errors

Experience taking solutions from PoC to production

Strong understanding of enterprise-grade requirements (security, scalability, reliability)