MLabs is building a generative AI and Low-code customer support automation platform and is seeking a Mid-level Software Engineer to design and scale the core distributed systems that power their next-generation AI agents.
Requirements
- Proficiency in modern backend and full-stack development. Experience with languages in our stack (Python, Node, React, Go) is highly desirable.
- Proven ability to design and scale distributed systems* and tackle complex data/AI-related challenges.
Responsibilities
- Design and build robust distributed systems* that power our AI agents, focusing on orchestration, real-time inference, and integrations with major enterprise platforms (e.g., Shopify, Zendesk, Salesforce).
- Lead technical initiatives* across backend, data, and AI/ML systems, influencing architectural design, data pipelines, and performance optimization.
- Collaborate closely with the founders on strategic product and infrastructure decisions*
- Ship quickly and iteratively*
- Contribute to and evolve our diverse tech stack, which includes Python, Node, React, Go, Airflow, and various AI/ML systems*
- Mentor and guide* other engineers through rigorous code reviews, design sessions, and technical discussions.
Other
- 3+ years of experience with hands-on software engineering with a strong product focus.
- A strong, autonomous, and fast-moving mindset, thriving in an environment where ownership is real and impact is immediate.
- full-time, on-site role in San Francisco, CA.
- Visa sponsorship is available (specifically, we sponsor H1B transfers).
- Significant leadership opportunities and a highly collaborative, innovative work environment.
