L
AI Engineer
Leadenhall Search & Selection
5 hours ago
Full-time
On-site
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. 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. 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.
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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. 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. 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.
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