Software Engineer - MTS

Software Engineer - MTS (AI Office Suite)

Full-time | On-site

Location: San Francisco, CA

We are building the enterprise AI layer that enables agents to perform complex, judgment-heavy work by learning and leveraging a customer’s institutional intelligence. Our platform drives significant productivity gains for Fortune 100 companies across engineering, finance, and consulting. We are seeking a Software Engineer (Member of Technical Staff) to architect and ship the core systems that make this possible.

As a Software Engineer (MTS), you will own the end-to-end development of critical, real-time features that empower our AI agents. This role blends full-stack development with strategic system design, directly impacting measurable customer outcomes.

Key Responsibilities:

• Architect and ship core product features including rich editors, interactive dashboards, and real-time "Autopilot" user experiences where agents plan and execute with sub-100ms interactions.
• Design and build integrations that ground AI agents in the customer’s operational tools (e.g., Google Workspace, O365, Slack, Linear, etc.) across hundreds of potential endpoints.
• Develop the learning flywheel that converts expert user feedback into demonstrably smarter and more capable agents over time.
• Collaborate tightly with Product and Design to translate complex customer insights into scalable, cross-customer capabilities.
• Work across the full stack to build systems that allow agents to analyze logs, run due diligence, generate client deliverables, and ship code.

We are looking for a high-intensity, collaborative engineer with significant full-stack experience in a fast-paced environment.

• Up to 5 years of professional full-stack software engineering experience (impressive personal projects are considered alongside professional tenure).
• Strong focus on TypeScript/React for building rich, interactive web applications.
• Proficiency in Python for backend development.
• Familiarity with our core tech stack is highly beneficial: Next.js, Tailwind CSS, Python (FastAPI), Postgres, Redis, and Kubernetes.
• Experience utilizing leading AI model APIs (e.g., OpenAI, Anthropic API) is a plus.
• Demonstrated ability to design scalable systems and thrive in a high-ownership, low-ego team culture.

Work Policy:

• This is a full-time, on-site role requiring 6 days per week in the office in San Francisco, CA.
• Visa sponsorship and transfer are available for the right candidate.

Join an early-stage, well-funded team with alumni from top tech companies, where you will have outsized impact and ownership in a generative AI startup.

• Competitive Salary: Base salary ranging from $130,000 - $200,000.
• Significant Equity: Early-stage equity offering between 0.05% - 0.2%.
• High Impact: Work that directly drives measurable outcomes (cutting cycle times by 90%+) for Fortune 100 customers.
• Team Environment: Highly collaborative, high-intensity, and low-ego culture.

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].