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Raydar

AI Product Engineer

Posted 25 Days Ago
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In-Office
San Francisco, CA, USA
200K-300K Annually
Mid level
In-Office
San Francisco, CA, USA
200K-300K Annually
Mid level
Build, improve, test, and optimize AI-powered software from development through production. Translate customer workflow needs into shipped features while collaborating with sales and engineering. Support customer implementations, resolve technical integration issues, and maintain technical documentation. The role requires production software development experience, Python or JavaScript skills, machine learning tooling knowledge, cloud experience, strong communication, and comfort working in a fast-paced startup.
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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 refine AI-powered software while working closely with customers to turn their workflow challenges into shipped features. The position combines engineering and product thinking, with a high degree of ownership in a fast-moving startup setting.

What you'll do

- Build and improve AI-driven software, taking responsibility for quality, scalability and performance from start to finish.

- Work with sales and engineering colleagues to understand customer needs and turn them into released product.

- Own testing, debugging and optimization so users have a smooth experience.

- Help new customers get set up by resolving technical issues during rollout and system connections.

- Keep technical documentation of designs, processes and systems current as the product evolves.


Requirements

What we're looking for

- Roughly 2 to 4 years of professional software development, ideally on subscription software or products that use AI.

- Solid hands-on production skills in Python or JavaScript.

- Working knowledge of machine learning tooling and of at least one large cloud provider.

- Comfort with ambiguity, initiative, and delivering practical solutions at a fast startup pace.

- Clear communication and a collaborative approach when working across teams.

Bonus points

- Prior experience at a software company that handles large volumes of documents.

- Hands-on work creating or improving automated data extraction workflows powered by machine learning.


Benefits

Compensation and benefits

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

- Equity

- Health, dental and vision coverage

Location and work model

- San Francisco, California, United States

- On-site, 5 days per week in office

- Full-time

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