О вакансии
About the company
Our client is a fast-growing software company.
The role
Raydar is recruiting for this role on behalf of our client. Take ownership of backend capabilities for a data-heavy software platform, covering storage design, data flow, services and monitoring. Collaborate with product, design and customer-facing colleagues to ship features, and lead the move of LLM-driven automation from experiment to production.
What you'll do
- Architect the schemas, ingestion layers and processing flows that keep a large-scale platform running.
- Take full responsibility for backend features from initial design through APIs, infrastructure and monitoring.
- Partner with product and engineering colleagues to translate user needs into both conventional and AI-driven features.
- Create internal admin tooling that helps operate and manage the platform behind the scenes.
- Guide LLM-powered automation from early research and model comparison through to a production release.
- Assess and bring in new AI and developer tools that raise team velocity, code quality and maintainability.
- Offer technical assistance to sales and customer success teammates as needed.
Requirements
What we're looking for
- At least 3 years of professional software engineering experience.
- Hands-on background in designing scalable data storage, processing pipelines and system integrations, using Postgres.
- Prior work at a company where AI was central, or experience releasing AI-powered products.
- Solid backend engineering fundamentals.
- A bachelor's degree.
- A record of driving projects to completion with little supervision on a small, self-directed team.
- US work authorization without sponsorship.
- Ability to work from the office at least 4 days per week.
Bonus points
- Familiarity with building LLM-based automation and conversational tools.
- Proficiency in Python.
Benefits
Compensation and benefits
- Base salary: USD 180,000 to 200,000 per year
- Equity
Location and work model
- New York, NY, United States
- On-site, at least 4 days per week in the office
- Full-time