Applied AI Engineer

We're working with a fast-growing Series A AI company building agentic AI systems that automate complex, mission-critical workflows for some of the world's leading financial institutions.

They're looking for an Applied AI Engineer to join their New York team, combining hands-on platform engineering with direct exposure to major financial services clients.

You’ll design, build and deploy production AI systems, taking complex and often ambiguous customer problems and turning them into scalable, reusable components within the core platform.

This is a highly autonomous engineering role. You'll own projects from initial problem definition through architecture, development and deployment, while also working directly with customers to understand requirements and demonstrate technical solutions.

• Build and ship multi-agent and LLM-powered workflows used in production
• Design and develop scalable Python-based platform components
• Own technical projects end-to-end, from initial concept through deployment
• Turn complex customer workflows into reusable platform primitives and patterns
• Work directly with customers to understand technical requirements and solve problems
• Collaborate with forward-deployed engineers on customer implementations
• Present technical solutions and capabilities to sophisticated financial services clients
• Contribute to the architecture and evolution of the core AI platform

• 4+ years of software engineering experience
• Excellent Python fundamentals and strong backend engineering skills
• Hands-on experience building with LLMs, AI APIs or AI-powered workflows
• Strong understanding of modern AI tooling and the current LLM ecosystem
• Experience owning and delivering projects independently
  
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  We're working with a fast-growing Series A AI company building agentic AI systems that automate complex, mission-critical workflows for some of the world's leading financial institutions.

  They're looking for an Applied AI Engineer to join their New York team, combining hands-on platform engineering with direct exposure to major financial services clients.

  Role

  You’ll design, build and deploy production AI systems, taking complex and often ambiguous customer problems and turning them into scalable, reusable components within the core platform.

  This is a highly autonomous engineering role. You'll own projects from initial problem definition through architecture, development and deployment, while also working directly with customers to understand requirements and demonstrate technical solutions.

  Responsibilities
  • Build and ship multi-agent and LLM-powered workflows used in production
  • Design and develop scalable Python-based platform components
  • Own technical projects end-to-end, from initial concept through deployment
  • Turn complex customer workflows into reusable platform primitives and patterns
  • Work directly with customers to understand technical requirements and solve problems
  • Collaborate with forward-deployed engineers on customer implementations
  • Present technical solutions and capabilities to sophisticated financial services clients
  • Contribute to the architecture and evolution of the core AI platform
  What We’re Looking For
  • 4+ years of software engineering experience
  • Excellent Python fundamentals and strong backend engineering skills
  • Hands‑on experience building with LLMs, AI APIs or AI‑powered workflows
  • Strong understanding of modern AI tooling and the current LLM ecosystem
  • Experience owning and delivering projects independently
  • Strong systems thinking and an ability to design reusable…