Applied AI Engineer

Posted 2 Days Ago
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New York, NY, USA
In-Office
180K-220K Annually
Mid level
Professional Services • Consulting
The Role
Build and deploy production multi-agent AI workflows using large language models. Architect scalable platform features, convert complex business processes into reusable components, and independently deliver projects from design through release. The role involves client-site requirements gathering, technical presentations to finance professionals, and close collaboration with business stakeholders. Candidates need strong Python and software engineering experience, practical language model API expertise, polished communication, and willingness to work onsite in New York most of the week.
Summary Generated by Built In

About the company

Our client is a fast-growing software company.

The role

Raydar is recruiting for this role on behalf of our client. Design, build and ship production automation powered by large language models within a small, fast-moving engineering group. The work spans the whole lifecycle from initial design through release, with considerable independence and regular in-person time with business stakeholders.

What you'll do

- Build and deploy multi-agent AI workflows that run in production.

- Architect, implement and release scalable features on the core software platform.

- Join clients on-site to scope requirements and explain technical capabilities.

- Turn ambiguous, complex business processes into reusable platform components.

- Drive projects from start to finish with a high degree of independence.


Requirements

What we're looking for

- At least four years of professional software engineering, with a solid grounding in Python.

- Practical experience working with language model APIs and modern AI tooling, including rapid prototyping.

- Evidence of taking initiatives from idea to delivery with little supervision or formal process.

- A systems mindset, with an eye for reusable building blocks and design patterns.

- Polished communication and the confidence to present technical topics to finance professionals.

- Residence in the New York area and willingness to be in the office most of the week.

- Genuine enthusiasm for the AI field.

Bonus points

- Familiarity with Azure, React or Next.js, FastAPI, MongoDB or Redis.

- Background at a fintech, finance or AI-focused company.

- Strong academic background in computer science, math or engineering.


Benefits

Compensation and benefits

- Base salary: USD 180,000 to 220,000 per year

- Equity

- Flexible time off

- Retirement plan

- Health coverage

Location and work model

- New York, NY, United States

- On-site, 4-5 days per week in the office

- Full-time

Skills Required

  • At least four years of professional software engineering experience
  • Strong grounding in Python
  • Practical experience with language model APIs and modern AI tooling
  • Experience rapidly prototyping AI solutions
  • Experience taking initiatives from idea to delivery with little supervision or formal process
  • Systems mindset focused on reusable building blocks and design patterns
  • Polished communication skills and confidence presenting technical topics to finance professionals
  • Residence in the New York area
  • Willingness to work in the office most of the week
  • Genuine enthusiasm for artificial intelligence
  • Familiarity with Azure
  • Familiarity with React or Next.js
  • Familiarity with FastAPI
  • Familiarity with MongoDB or Redis
  • Background at a fintech, finance, or AI-focused company
  • Strong academic background in computer science, mathematics, or engineering
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The Company
28 Employees
Year Founded: 2021

What We Do

Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.

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