About this role
Software Engineer (Backend & AI Infrastructure)
Location: San Francisco, CA
Hybrid | Full-time
Compensation: $160K – $300K + Equity
Our client is a venture-backed technology firm based in San Francisco that is redefining the global research industry through AI-powered user interviews. By leveraging advanced AI-moderated technology, the platform enables global enterprises to achieve deep qualitative insights at unprecedented speed and scale. Currently serving world-class brands across the technology and consumer sectors, our client is disrupting a $140B market by replacing slow, high-cost legacy services with high-performance automated solutions.
Following a breakout year characterized by 8x growth, the organization recently secured a $30M Series B funding round led by top-tier Silicon Valley investors. The engineering team is currently scaling to support the rapid adoption of AI-moderated research as the new industry standard. This is a high-impact opportunity for a Backend Software Engineer to join a lean, elite team of 30 in San Francisco and take ownership of mission-critical infrastructure.
Key Responsibilities
Strategic Technical Leadership: Collaborate directly with the CTO and CEO to influence strategic technical decisions and the long-term product roadmap.System Architecture: Design, develop, and optimize backend services, robust APIs, and real-time data processing infrastructure.AI Implementation: Refine and implement in-house Large Language Model (LLM) integrations and proprietary real-time interview technology.Full-Cycle Ownership: Lead engineering projects from initial conception through production deployment, ensuring maximum scalability and reliability.Customer-Centric Development: Interface directly with users to gather feedback, identify pain points, and iterate on the core product to meet enterprise-grade requirements.Requirements
Professional Experience: 3+ years of software engineering experience focused on building and maintaining production-grade backend systems.Technical Proficiency: Strong expertise in Python and Django, with a proven track record of building robust APIs.Data Management: Extensive knowledge of SQL databases, with a strong preference for PostgreSQL.Cloud Infrastructure: Professional experience deploying and managing backend services on AWS.Preferred Skills: Familiarity with WebRTC, real-time data streaming, or AI/ML infrastructure is highly desirable.Location: Based in or willing to relocate to San Francisco for a hybrid work schedule.Benefits
Executive Exposure: Daily collaboration with the founding team to shape the core product vision.Industry Impact: Direct interaction with design and research leaders at the world’s most recognizable global brands.Compensation: Competitive cash salary ranging from $160,000 to $300,000, complemented by a significant equity package.Holistic Package: Comprehensive benefits and a culture that celebrates diversity and inclusion.Growth Environment: The opportunity to work in a high-growth, well-funded startup environment that is leading a new category in AI technology.
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].