AI Engineer

Are you a dynamic AI Engineer based in either NYC, Miami, or Chicago with 3-6 years' experience?

Leadenhall Search & Selection are excited to announce that we are partnering with a leading strategy and operations management consultancy with offices across NYC, Miami, and Chicago who are growing out an internal AI team.

Key Responsibilities

• Build AI tools end to end, including prompts, retrieval, orchestration, user interfaces and integrations.
• Work with consultants and subject-matter experts to turn business methodologies into practical AI solutions.
• Develop AI agents and reusable tools that connect to organisational knowledge and support complex workflows.
• Turn prototypes into reliable, scalable internal tools through code reviews, testing, error handling and documentation.
• Contribute to shared infrastructure and reusable components.
• Evaluate AI outputs, identify limitations and continuously improve performance.
• Support colleagues in developing AI solutions through collaboration, code reviews and guidance.

What They're Looking For

• 3–6 years of software engineering experience, including at least one year delivering AI/ML or LLM features.
• Strong Python or TypeScript skills and familiarity with APIs, frontend development and data integrations.
• Practical experience with LLM tooling, prompt engineering, retrieval, agent frameworks and evaluations.
• A hands-on approach, with the ability to build, ship and improve practical solutions.
• Strong communication skills and the ability to work with non-technical stakeholders.
• An interest in understanding business processes and translating requirements into working software.

Desirable experience:

• Consulting, professional services or applied research.
• Enterprise knowledge platforms, Office add-ins or business tool integrations.
• Open-source contributions, side projects or shipped prototypes.
• AI evaluation and observability.
• Strong communication skills.

What's on Offer

• Direct collaboration with consultants, senior stakeholders and clients.
• The opportunity to apply AI across a broad range of business challenges.
• Ownership of practical AI tools from concept through to deployment.
• The opportunity to contribute to shared AI infrastructure and engineering standards.
• Career progression towards senior engineering roles or product and applied AI leadership.