AI Engineer

Leadenhall Search & Selection; New York (NY); On-site; USD 130,000 - 170,000; Full time

Job summary

Leadenhall Search & Selection is partnering with a leading strategy and operations management consultancy to grow an internal AI team in NYC, Miami, or Chicago. The role offers direct collaboration with senior stakeholders and a chance to apply AI across diverse business challenges.

You will own practical AI tools from concept to deployment, working with consultants and experts to translate business needs into robust software. A strong hands-on, collaborative mindset is essential for success.

Qualifications

• 3–6 years of software engineering experience, with at least one year delivering AI/ML or LLM features.
• Strong Python or TypeScript skills and familiarity with APIs, frontend development and data integrations.
• Hands-on experience with LLM tooling, prompt engineering, retrieval, agent frameworks and evaluations.
• Ability to build, ship and improve practical AI solutions and communicate with non-technical stakeholders.
• Experience in consulting, professional services or applied research.

Responsibilities

• Build AI tools end to end, including prompts, retrieval, orchestration, user interfaces and integrations.
• Collaborate with consultants and subject-matter experts to translate business methodologies into 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.

Skills

Python

TypeScript

APIs

Frontend development

Data integrations

LLM tooling

Prompt engineering

Retrieval

Agent frameworks

Evaluations

Job description

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.