Full Stack Software Engineer

Senior Full Stack Software Engineer

Full-time | On-site

Location: San Francisco, CA

We are a high-growth AI company building the future of a core business function through a real-time conversational AI platform. Our platform serves both consumer-facing (the user experience) and enterprise-grade (data aggregation and analysis) software. We are looking for a Senior Full Stack Software Engineer to be a founding, hands-on builder in a small, passionate team.

As a hands-on engineer, you will own the development of high-impact features across our entire stack—from optimizing latency for real-time video conversations to building robust enterprise data analysis tools and integrations.

Key Responsibilities:

• Build Full-Stack Features: Develop both consumer-facing and enterprise-grade software using React (TypeScript) for the front end and Python for the backend.
• Optimize Performance at Scale: Tackle complex systems challenges, such as decreasing interviewer response latency to sub-200ms and scaling our infrastructure to support thousands of simultaneous interviews while maintaining regulatory compliance.
• Enterprise Integration & Data: Design solutions to integrate with customer’s internal hiring systems . Build fast, beautiful interfaces to present complex interview data visually for enterprise users.
• Implement AI Infrastructure: Work with Python to design and optimize underlying systems, including Vector Databases for handling complex candidate queries and leveraging asyncio for high performance.
• Infrastructure and DevOps: Utilize modern cloud technologies like Azure, Kubernetes, and Docker to drive system reliability and scalability.
• Drive Product Iteration: Rapidly implement a wide variety of feature requests, collaborating closely with the product team to launch products that impact people's careers.

This senior role demands technical versatility, a high degree of ownership, and a passion for building complex, real-time systems.

• 3–7 years of full-stack engineering experience at a senior level or equivalent.
• Deep expertise in a modern front-end framework, preferably React (TypeScript) .
• Strong backend skills with Python , including experience with performance-critical code and asynchronous programming (asyncio).
• Experience with SQL (Postgres) and designing robust database schemas.
• Hands-on experience with cloud and DevOps tools ( Azure, Kubernetes, Docker ) for scaling high-availability applications.
• Experience with or deep interest in vector databases, conversational AI, or real-time data processing.

Work Policy:

• This is a full-time, in-person role located in San Francisco, CA .
• Visa sponsorship is not available for this position.

Join a small, funded team where you will have maximum impact and ownership, working directly with founders to solve a huge market problem.

• Compensation: Highly competitive cash salary ranging from $150,000 - $250,000 .
• Equity: Significant early-stage ownership with equity ranging from 0.01% - 0.25% .
• Health & Wellness: Comprehensive Health Insurance coverage.
• Time Off: Flexible Unlimited PTO .
• Perks: Company lunches and a collaborative, supportive, and kind team environment.

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].