Backend Software Engineer at MLabs

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

300000.0

Posted On

20 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Django, Apis, Sql, Postgres, Aws, WebRTC, Real-time Data Streaming, Ai/Ml Infrastructure, Backend Services, Data Processing Infrastructure, Llm

Industry

IT Services and IT Consulting

Description

Software Engineer (Backend & AI Infrastructure) Location: San Francisco, CA (Financial District) Employment Type: Full-time - Hybrid Compensation: $160K – $300K • Offers Equity We have invented a better way to do research: AI-powered user interviews. Our platform is used by Fortune 500 companies and global tech leaders to achieve deeper, qualitative insights about their users at unprecedented speed and scale. The research industry is massive (>$140B and growing) and ripe for disruption. While incumbents remain slow and burdened by high-cost services, we are capturing the market with a category-defining product. We are a tight-knit team of 30 based in San Francisco’s Financial District. Following a breakout year where our business grew 8x, we recently closed a $30M Series B in December 2025—less than six months after our Series A. This is a rare opportunity to join a high-growth startup backed by top Silicon Valley investors as we set the new standard for understanding people. What you will do: Strategic Collaboration: Partner closely with the CTO and CEO on strategic technical decisions and product direction. Architecture & Development: Design, develop, and optimize backend services, APIs, and real-time data processing infrastructure. AI Innovation: Implement and refine our in-house Large Language Model (LLM) and real-time interview technology. End-to-End Ownership: Lead projects from initial conception through production deployment, ensuring scalability and reliability. User Feedback Loop: Interface directly with users to gather feedback, understand pain points, and continuously improve our core product. Experience: 3+ years of software engineering experience building production-grade backend systems. Technical Stack: Strong proficiency with Python and Django, including experience building robust APIs. Data Expertise: Extensive knowledge of SQL databases (Postgres preferred). Cloud Infrastructure: Experience deploying and managing services on AWS. Bonus points for: Familiarity with WebRTC, real-time data streaming, or AI/ML infrastructure. Founder Collaboration: Daily collaboration with founders, shaping the core product vision. Global Impact: Exposure to and collaboration with design and research leaders at world-class brands. Competitive Compensation: A package including a salary of $160K – $300K plus Equity. Actual compensation packages are based on various factors unique to each candidate, including skill set and depth of experience. Inclusive Environment: We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, free from discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other protected class. 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 human-resources@mlabs.city. 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 legal@mlabs.city.

Responsibilities

The role involves strategic collaboration with executive leadership on technical decisions and product direction, alongside designing, developing, and optimizing backend services, APIs, and real-time data processing infrastructure. Responsibilities also include implementing and refining the in-house Large Language Model (LLM) and leading projects from conception through deployment.