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
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
