MLabs
Location: San Francisco, CA (100% On‑site)
Compensation: $150,000 – $250,000 (Base Salary) + Equity
Senior Full Stack Software Engineer
We are building the future of hiring with our revolutionary
AI Recruiter
that conducts job interviews in real‑time over video calls. Our platform serves candidates with a world‑class interview experience and employers with powerful data aggregation and analysis tools. We are looking for a hands‑on
Senior Full Stack Software Engineer
to build both consumer‑facing and enterprise‑grade software with opportunity for growth and ownership. Responsibilities
Consumer Experience: drastically reduce interviewer response latency (target
AI & Data Infrastructure: design and implement data solutions, including vector databases, to handle complex queries for matching candidates with specific traits. Enterprise Integration: integrate our platform with major customer internal hiring systems and build visual analytics for recruiters to view and analyze interview data quickly. Scalability & DevOps: scale system architecture and leverage our cloud/DevOps stack (Azure, Kubernetes, Docker) for high availability and performance. Full‑Stack Feature Delivery: own end‑to‑end development of many platform features, from the Python backend to the TypeScript/React frontend. Requirements
3–7 years of full‑stack engineering experience (senior+ level). Frontend: proficiency with React (TypeScript). Backend: strong knowledge of Python, asynchronous programming (asyncio), and SQL (PostgreSQL). Cloud & DevOps: experience with cloud services and DevOps tooling (Azure, Kubernetes, Docker). Problem‑Solving: proven ability to code, experiment, and iterate quickly with a builder mentality. Collaboration: strong communication and collaboration skills to work effectively with product, design, and co‑founders in an on‑site environment. Preferred Qualifications
Experience building two‑sided marketplaces or platforms serving both consumer and enterprise customers. Experience with vector databases or building conversational AI/LLM‑powered products. A love for a "build fast, break things, and learn" mindset (hackathon experience is a huge plus). Benefits
Impact: work directly on building the future of hiring with an autonomous AI recruiter that has already conducted thousands of interviews. Compensation: competitive salary ($150,000–$250,000) and meaningful equity participation (0.01%–0.25%). Time Off: unlimited PTO. Wellness: comprehensive health insurance coverage. Office Perks: company lunches provided. Work Policy: 100% on‑site role in our San Francisco office to foster deep collaboration. Visa Support: visa sponsorship is not available for this position. Commitment to Equality and Accessibility
At MLabs, we are committed to offering equal opportunities to all candidates. We ensure no discrimination, provide accessible job adverts, and offer information in accessible formats. If you need any reasonable adjustments during the hiring process or would like to see the job advert in an accessible format, please email human‑resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide (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 deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
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We are building the future of hiring with our revolutionary
AI Recruiter
that conducts job interviews in real‑time over video calls. Our platform serves candidates with a world‑class interview experience and employers with powerful data aggregation and analysis tools. We are looking for a hands‑on
Senior Full Stack Software Engineer
to build both consumer‑facing and enterprise‑grade software with opportunity for growth and ownership. Responsibilities
Consumer Experience: drastically reduce interviewer response latency (target
AI & Data Infrastructure: design and implement data solutions, including vector databases, to handle complex queries for matching candidates with specific traits. Enterprise Integration: integrate our platform with major customer internal hiring systems and build visual analytics for recruiters to view and analyze interview data quickly. Scalability & DevOps: scale system architecture and leverage our cloud/DevOps stack (Azure, Kubernetes, Docker) for high availability and performance. Full‑Stack Feature Delivery: own end‑to‑end development of many platform features, from the Python backend to the TypeScript/React frontend. Requirements
3–7 years of full‑stack engineering experience (senior+ level). Frontend: proficiency with React (TypeScript). Backend: strong knowledge of Python, asynchronous programming (asyncio), and SQL (PostgreSQL). Cloud & DevOps: experience with cloud services and DevOps tooling (Azure, Kubernetes, Docker). Problem‑Solving: proven ability to code, experiment, and iterate quickly with a builder mentality. Collaboration: strong communication and collaboration skills to work effectively with product, design, and co‑founders in an on‑site environment. Preferred Qualifications
Experience building two‑sided marketplaces or platforms serving both consumer and enterprise customers. Experience with vector databases or building conversational AI/LLM‑powered products. A love for a "build fast, break things, and learn" mindset (hackathon experience is a huge plus). Benefits
Impact: work directly on building the future of hiring with an autonomous AI recruiter that has already conducted thousands of interviews. Compensation: competitive salary ($150,000–$250,000) and meaningful equity participation (0.01%–0.25%). Time Off: unlimited PTO. Wellness: comprehensive health insurance coverage. Office Perks: company lunches provided. Work Policy: 100% on‑site role in our San Francisco office to foster deep collaboration. Visa Support: visa sponsorship is not available for this position. Commitment to Equality and Accessibility
At MLabs, we are committed to offering equal opportunities to all candidates. We ensure no discrimination, provide accessible job adverts, and offer information in accessible formats. If you need any reasonable adjustments during the hiring process or would like to see the job advert in an accessible format, please email human‑resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide (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 deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
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