Location: San Francisco, CA (On-site) Employment Type: Full-time Compensation: $160,000 – $220,000 base + equity (0.1%–0.3%) Position Overview An innovative, AI-driven technology organization is seeking a Backend Engineer to help build the next generation of real-time, intelligent user research platforms. This role focuses on developing scalable backend systems that support advanced voice-to-voice interactions, real-time data streaming, and AI-powered insights. The ideal candidate is highly technical, thrives in fast-paced environments, and is comfortable owning projects end-to-end—from concept through production deployment. This is a high-impact opportunity to work closely with executive leadership and directly influence product and technical strategy. Key Responsibilities • Collaborate closely with executive leadership on technical strategy and product direction • Design, develop, and optimize backend services, APIs, and data processing systems • Build and maintain real-time data streaming infrastructure • Contribute to the development and improvement of in-house AI/LLM-based systems • Lead engineering projects from initial concept through deployment and scaling • Ensure system performance, scalability, and reliability in production environments • Engage with users to gather feedback and continuously improve product functionality Required Qualifications • 3–10 years of experience in software engineering, with a focus on backend systems • Proven experience building and maintaining production-grade applications • Strong proficiency in backend development using Python and frameworks such as Django • Experience with relational databases (e.g., PostgreSQL) • Hands-on experience with AWS or similar cloud platforms • Demonstrated ability to take ownership of projects and deliver end-to-end solutions • Comfortable working in ambiguous, fast-moving environments Preferred Qualifications • Experience with real-time data streaming or distributed systems • Familiarity with WebRTC or real-time communication technologies • Exposure to AI/ML infrastructure or Large Language Models (LLMs) • Prior experience in startup or high-growth environments Work Environment • On-site role with an expectation of approximately 80–100% in-office حضور • Flexibility available for commuting considerations Additional Information • Equity participation included • Visa sponsorship is not available for this role