Applied AI Engineer

Posted Yesterday
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New York, NY, USA
In-Office
200K-300K Annually
Mid level
Professional Services • Consulting
The Role
Design and deploy LLM-driven agent applications that automate complex, document-heavy financial processes. Own the full AI product lifecycle, including prototyping, evaluation, release, monitoring, and continuous improvement. Collaborate with founders and subject-matter experts to identify workflow weaknesses, improve agent context and design, and create intuitive user experiences. Translate ambiguous problems into measurable production solutions and influence the product roadmap through hands-on applied AI work.
Summary Generated by Built In

About the company

Our client is a small software company.

The role

Raydar is recruiting for this role on behalf of our client. Design and deliver production AI features that take over intricate, document-heavy business processes. Carry projects from early experiments through to live release and ongoing refinement, partnering closely with founders and subject-matter experts. Contribute to the direction of the product through hands-on learning.

What you'll do

- Design and develop LLM-driven agent applications that automate multi-step financial processes.

- Take responsibility for the full lifecycle: prototyping, evaluation, release, monitoring and continuous improvement based on user feedback.

- Judge when plain rule-based code, assisted AI flows or fully autonomous agents best fit a given problem.

- Sit alongside founders and domain experts to watch real work being done, spot weaknesses in the agent's context or design, and deliver fixes.

- Build AI capabilities into the user experience so they feel natural and enjoyable to use, not just strong on technical metrics.

- Help steer the product roadmap using what you learn from hands-on work with agent-based approaches.


Requirements

What we're looking for

- Roughly 1.5 to 4 years of professional software engineering experience in production environments, ideally at a high-growth startup or respected technology firm.

- Prior experience as a founder, early employee or engineer in an early-stage company.

- A history of creating new systems yourself rather than mainly wiring together existing tools.

- Hands-on applied AI experience with LLMs, agents, retrieval or document-processing applications.

- Ability to turn loosely defined problems into deployed solutions with measurable results.

- Comfort collaborating directly with subject-matter experts.

- Availability to work in person at the New York office.

Bonus points

- Background in finance or other regulated sectors that rely heavily on documents.

- For earlier-career candidates, a strong academic background from a leading university.


Benefits

Compensation and benefits

- Base salary: USD 200,000 to 300,000 per year

- Equity

- Relocation support

Location and work model

- New York, NY, USA

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

- Full-time

Skills Required

  • 1.5 to 4 years of professional software engineering experience in production environments
  • Prior experience as a founder, early employee, or engineer at an early-stage company
  • Experience creating new systems rather than primarily integrating existing tools
  • Hands-on applied AI experience with LLMs, agents, retrieval, or document-processing applications
  • Ability to turn loosely defined problems into deployed solutions with measurable results
  • Comfort collaborating directly with subject-matter experts
  • Availability to work in person at the New York office 4–5 days per week
  • Background in finance or another regulated, document-heavy sector
  • Strong academic background from a leading university for earlier-career candidates
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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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