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Staff/Senior Software Engineer, Applied AI at MLabs. Our client is a mission-driven health tech company building AI agents to scale patient care without needing more clinicians. They are at the forefront of applying AI to create modern, powerful, and intuitive products for healthcare providers and chronic disease management. They've built a world-class team with expertise in engineering, medicine, and design, and are on track to close their Series A and achieve profitability within the next 18 months.. Our client is looking for a . Staff/Senior Software Engineer. to join their team. You'll play a crucial role in building and scaling AI/LLM Agent software systems. This is a chance to own an entire AI product vertical, working directly with a clinical team to ship life-saving features. If you are passionate about applying your technical skills to make a tangible impact on patient care, this role is for you.. You will be responsible for:. . Building and scaling secure, resilient AI/LLM Agent software systems on cloud platforms.. . Designing and building data pipelines and APIs for sensitive data, including patient, genomics, and wearables data.. . Owning projects that drive measurable outcomes in patient care.. . Collaborating with co-founders, product, and design teams to deliver state-of-the-art AI systems for healthcare.. . . . 3+ years. of professional post-college backend engineering experience, with a track record of building and shipping cloud software applications.. . Strong backend engineering & applied AI background. . Built cloud software applications (backend).. . Built AI/ML features in production.. . Bachelor’s in CS or related field (top school). . Proven experience in bringing . AI/ML features from conception to production. .. . Strong skills in . LLM Agent Design. , . Context Engineering. , . Embedding Systems. , and . Semantic/Keyword Search. .. . Proficiency in backend languages like . Go. or . Python. .. . Experience with cloud platforms (GCP preferred), particularly with data pipelines and APIs.. . A desire to work remotely, but with a willingness to participate in in-person co-working days and happy hours in the San Francisco Bay Area.. . Bonus Points:. . Experience in the healthcare space.. . Experience in product or design.. . Company Location: United States.