Backend Software Engineer
Hybrid (San Francisco)$160k - $300kFull-timePosted 8mo ago
About the role
Backend-focused role designing, building, and refining backend services and real-time data processing infrastructure for an AI-powered user interview platform. Collaborate with executive leadership, implement in-house LLM and real-time interview tech, and drive scalable, reliable production systems while engaging with users for continuous product improvement.
Responsibilities
- Collaborate closely with the CTO and CEO on strategic technical decisions and product direction.
- Design, develop, and optimize backend services, APIs, and real-time data processing infrastructure.
- Implement and refine our in-house Large Language Model and real-time interview technology.
- Lead projects from initial conception through production deployment, ensuring scalability and reliability.
- Interface directly with users to gather feedback, understand pain points, and continuously improve our core product.
Qualifications
- 3+ years of software engineering experience building production-grade backend systems.
- Strong proficiency with Python and Django, including experience building robust APIs.
- Extensive knowledge of SQL databases (Postgres preferred).
- Experience deploying and managing services on AWS.
- Bonus points for familiarity with WebRTC, real-time data streaming, or AI/ML infrastructure.
Skills
Required:PythonDjangoPostgreSQLAWS
Nice to have:WebRTCReal-time data streaming
Last updated Jul 30, 2026. Interested? Apply on the company site.

About Outset
AI-powered user interviews
Outset offers AI-powered user interviews to conduct qualitative research. Traditional surveys are fast but lack depth while live interviews produce high quality data but are slow and expensive. Outset uses LLMs to lead interviews and synthesize results so researchers get high quality data 100 times faster.
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