Senior Applied AI Software Engineer

Posted Yesterday
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New York, NY, USA
In-Office
190K-240K Annually
Senior level
Professional Services • Consulting
The Role
Design, build, and scale production AI systems, including AI-powered features, multi-agent workflows, model integrations, evaluation and guardrail systems, monitoring, backend services, and inference pipelines. Own projects from prototyping through reliable production operation while balancing quality, latency, cost, and safety. Collaborate closely with product and engineering leadership to launch real-time AI products and establish technical direction.
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 scale production AI systems, owning work from early prototyping and model selection through dependable operation. This is a hands-on senior position with significant influence over technical direction, working closely with product and engineering leadership.

What you'll do

- Design and ship AI-powered features and multi-agent workflows to production.

- Select, integrate, evaluate and tune models, balancing quality, latency, cost and reliability across real-time voice pipelines.

- Build evaluation, guardrail and monitoring systems so AI behavior is measurable and safe at scale.

- Own the backend services and data and inference pipelines that support AI features in production.

- Prototype and deliver quickly in close collaboration with product and engineering leaders.


Requirements

What we're looking for

- 6+ years of software engineering experience, including at least 2 years in applied AI engineering in a product setting.

- Hands-on experience applying multi-agent and retrieval-augmented AI solutions in production.

- Experience working below the API layer, such as fine-tuning, evaluations or harness work.

- At least 2 years at an early-stage startup.

- A track record of launching live AI products that respond in real time.

- Python as your main language, with working knowledge of a second language and modern cloud and container tooling.

- High ownership and the ability to deliver end-to-end without waiting for direction.

- Depth of expertise that makes you a go-to reference on AI capabilities.

- A mission-driven mindset and enthusiasm for building from scratch.

- A bachelor's degree in a technical discipline.

Bonus points

- Experience with real-time voice processing.

- Experience with conversational agents and system observability.


Benefits

Compensation and benefits

- Base salary: USD 190,000 to 240,000 per year

- Equity

Location and work model

- New York City, NY, United States

- Hybrid, 4 days per week in office

- Full-time

Skills Required

  • 6+ years of software engineering experience
  • At least 2 years of applied AI engineering experience in a product setting
  • Hands-on experience applying multi-agent and retrieval-augmented AI solutions in production
  • Experience with fine-tuning, evaluations, or AI harness development below the API layer
  • At least 2 years of experience at an early-stage startup
  • Track record of launching live AI products that respond in real time
  • Python as the primary programming language
  • Working knowledge of a second programming language
  • Experience with modern cloud and container tooling
  • High ownership and ability to deliver end-to-end independently
  • Bachelor's degree in a technical discipline
  • Experience with real-time voice processing
  • Experience with conversational agents and system observability
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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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