Bonus points if you’ve worked in healthcare or other regulated domains.
\n\nExperience: 5+ years of post-college software engineering experience, ideally at a single company.
\nFocus: Strong backend engineering background with hands-on experience applying AI in production environments.
\nMindset: You thrive in ambiguity, take ownership, and are comfortable iterating quickly to bring new AI-driven products from concept to deployment.
\nBonus: Experience in healthcare technology or data systems.
\nCommitment: We’re seeking candidates who value long-term growth and contribution — not those chasing the “next hottest thing.”
\nCollaborate with Engineering, Product, and Design teams to define and deliver AI-powered product capabilities.
\nArchitect, build, and scale AI/LLM agent software systems and backend infrastructure.
\nContribute to system design, data modeling, and production deployment of AI features.
\nPartner across teams to push the limits of applied AI within a modern cloud environment.
\nMinimum 3+ years of post-college backend engineering experience at a company (not including internships).
\nProven track record as a full-time employee, ideally in roles of increasing responsibility.
\nAdvanced degree experience counts toward post-college experience.
\nProfessional experience building and maintaining cloud software applications (backend).
\nDemonstrated ability to build or integrate AI/ML features in production — essential for this role.
\nBachelor’s degree in Computer Science or a related technical field from a top university.
\nExposure to: Context Engineering, Embedding Systems, Semantic Search, Keyword Search, LLM Agent Design, and statistical/probabilistic software systems.
\nFamiliarity with AI/ML and analytics infrastructure, data pipelines, and modern cloud/serverless architectures (GCP preferred).
\nProficiency in Go, Python, or similar backend languages — or the ability to learn them quickly with strong engineering fundamentals.
\nStrong sense of ownership and stakeholder value orientation.
\nExcellent communication and cross-functional collaboration skills.
\nPassion for building scalable, meaningful technology in high-impact spaces.
\nAverage tenure of 4+ years per role, demonstrating long-term commitment.
\nA career mindset — invested in building, scaling, and sustaining impactful systems over time.
\nAlignment with a mission-driven environment in healthcare, not just trend-driven opportunities.
\nLocation: Bay Area preferred; remote-first with regular in-person meetups in San Francisco.
\nIndustry Interest: A genuine interest in the healthcare space and how AI can drive better outcomes.
\nSend this job to your inbox!
We’re looking for a Staff or Senior Software Engineer who’s passionate about building intelligent backend systems that bring cutting-edge AI capabilities to life. You’ll join a fast-paced, collaborative team working at the intersection of backend engineering and applied AI — building the infrastructure and systems that power real-world AI products.
Bonus points if you’ve worked in healthcare or other regulated domains.
Experience: 5+ years of post-college software engineering experience, ideally at a single company.
Focus: Strong backend engineering background with hands-on experience applying AI in production environments.
Mindset: You thrive in ambiguity, take ownership, and are comfortable iterating quickly to bring new AI-driven products from concept to deployment.
Bonus: Experience in healthcare technology or data systems.
Commitment: We’re seeking candidates who value long-term growth and contribution — not those chasing the “next hottest thing.”
Collaborate with Engineering, Product, and Design teams to define and deliver AI-powered product capabilities.
Architect, build, and scale AI/LLM agent software systems and backend infrastructure.
Contribute to system design, data modeling, and production deployment of AI features.
Partner across teams to push the limits of applied AI within a modern cloud environment.
Minimum 3+ years of post-college backend engineering experience at a company (not including internships).
Proven track record as a full-time employee, ideally in roles of increasing responsibility.
Advanced degree experience counts toward post-college experience.
Professional experience building and maintaining cloud software applications (backend).
Demonstrated ability to build or integrate AI/ML features in production — essential for this role.
Bachelor’s degree in Computer Science or a related technical field from a top university.
Exposure to: Context Engineering, Embedding Systems, Semantic Search, Keyword Search, LLM Agent Design, and statistical/probabilistic software systems.
Familiarity with AI/ML and analytics infrastructure, data pipelines, and modern cloud/serverless architectures (GCP preferred).
Proficiency in Go, Python, or similar backend languages — or the ability to learn them quickly with strong engineering fundamentals.
Strong sense of ownership and stakeholder value orientation.
Excellent communication and cross-functional collaboration skills.
Passion for building scalable, meaningful technology in high-impact spaces.
Average tenure of 4+ years per role, demonstrating long-term commitment.
A career mindset — invested in building, scaling, and sustaining impactful systems over time.
Alignment with a mission-driven environment in healthcare, not just trend-driven opportunities.
Location: Bay Area preferred; remote-first with regular in-person meetups in San Francisco.
Industry Interest: A genuine interest in the healthcare space and how AI can drive better outcomes.
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