The job, in the employer's words
About the company
Our client is a software company.
The role
Raydar is recruiting for this role on behalf of our client. Ship product features that weave machine intelligence into a software platform, collaborating with design and subject-matter specialists in a small, flat team. The work is hands-on and product-driven, with emphasis on sound technical judgment, data connectivity and mentoring colleagues.
What you'll do
- Deliver new product functionality from the ground up, releasing often and making pragmatic trade-offs.
- Architect features powered by large language models so they can be extended, reused and scaled.
- Work with subject-matter specialists to turn their methods and knowledge into polished conversational agent experiences.
- Build reusable, scalable pipelines and integrations that move data between the platform and third-party tools.
- Mentor teammates on data and AI practices through code reviews, peer guidance and informal knowledge sharing.
Requirements
What we're looking for
- Roughly 8 to 10 years of software engineering experience, including data-driven products released to production and used by real people.
- A track record of adding AI features to shipped products, coming from a product-focused engineering path rather than research or data engineering.
- A refined, repeatable approach to working with AI coding assistants, including how to check their output and automate more of the workflow.
- Hands-on server-side web development experience and ease working in flexible scripting languages.
- Familiarity with event-driven design and conventional web frameworks is a plus.
- Flexibility across technology stacks; web, full-stack and back-end backgrounds are all welcome.
- Well-formed views on data architecture and system design, such as search and data processing.
- Strong analytical thinking and the ability to explain technical decisions clearly.
- Startup experience, a strong sense of ownership and comfort with ambiguity, candid feedback and quick decisions.
- Enthusiasm for raising the standard of the whole team.
- A mission-driven outlook and an energetic, collaborative style.
Bonus points
- Prior experience founding a company.
- Senior leaders who want to return to hands-on individual contributor work.
Benefits
Compensation and benefits
- Base salary: USD 180,000 to 210,000 per year
- Equity
- Flexible time off
Location and work model
- Remote (US)
- Full-time
Benefits mentioned
- Compensation and benefits
- - Base salary: USD 180,000 to 210,000 per year
- - Equity
- - Flexible time off
- Location and work model
- - Remote (US)
- - Full-time
Requirements mentioned
- What we're looking for
- - Roughly 8 to 10 years of software engineering experience, including data-driven products released to production and used by real people.
- - A track record of adding AI features to shipped products, coming from a product-focused engineering path rather than research or data engineering.
- - A refined, repeatable approach to working with AI coding assistants, including how to check their output and automate more of the workflow.
- - Hands-on server-side web development experience and ease working in flexible scripting languages.
- - Familiarity with event-driven design and conventional web frameworks is a plus.
- - Flexibility across technology stacks; web, full-stack and back-end backgrounds are all welcome.
- - Well-formed views on data architecture and system design, such as search and data processing.
- - Strong analytical thinking and the ability to explain technical decisions clearly.
- - Startup experience, a strong sense of ownership and comfort with ambiguity, candid feedback and quick decisions.
- - Enthusiasm for raising the standard of the whole team.
- - A mission-driven outlook and an energetic, collaborative style.
- Bonus points
- - Prior experience founding a company.
- - Senior leaders who want to return to hands-on individual contributor work.
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