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AI that actually understands healthcare is transforming operations, one workflow at a time.
The Role
Lead architecture, development, scalability, performance, and reliability for the company’s core AI platform. Own the technical roadmap, mentor engineers, oversee code quality, monitoring, logging, alerting, and technical debt management. Collaborate with product managers and data scientists, address distributed-system performance challenges, promote engineering best practices, and participate in hiring and onboarding.
Summary Generated by Built In
About Autonomize AI
Autonomize AI is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible.
We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI
The Opportunity
We are seeking a highly motivated and experienced Tech Lead to manage and drive the development of our core platform. This is a critical role responsible for the architecture, scalability, performance, and reliability of the foundation upon which all our AI solutions are built. If you are a passionate technologist with a proven track record of leading high-performing engineering teams and building robust, scalable systems, we encourage you to apply.
What You’ll Do
- Lead the design, development, and maintenance of our core platform, ensuring high availability, performance, and scalability.
- Own the technical roadmap for the platform, aligning it with business objectives and product strategy.
- Provide technical guidance and mentorship to a team of talented engineers.
- Drive code reviews, ensuring code quality and adherence to best practices.
- Collaborate with product managers, data scientists, and other stakeholders to define requirements and deliver solutions.
- Oversee the implementation of robust monitoring, logging, and alerting systems.
- Proactively identify and address performance bottlenecks and scalability challenges.
- Stay up-to-date with the latest technologies and trends, and evaluate their potential application to our platform.
- Champion engineering best practices and promote a culture of continuous improvement.
- Manage technical debt effectively and prioritize refactoring efforts.
- Participate in hiring and onboarding new engineering talent.
You’re a Fit If You Have
- Bachelor's or Master's degree in Computer Science or a related field.
- 10+ years of experience in software development, with at least 3+ years in a technical leadership role.
- Deep understanding of software architecture principles and design patterns.
- Strong experience with cloud platforms (e.g., AWS, GCP, Azure).
- Proficiency in one or more programming languages (e.g., Python, MERN, C++). [Specify the most relevant languages for your platform]
- Experience with database technologies (e.g., relational, NoSQL). [Specify the databases you use]
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Experience building and scaling high-traffic, distributed systems.
- Excellent communication, collaboration, and leadership skills.
- Strong problem-solving and analytical skills.
- Experience with Agile development methodologies.
Bonus Points:
- Experience with AI/ML infrastructure and tools.
- Experience with DevOps practices and CI/CD pipelines.
- Contributions to open-source projects.
- Owner mentality - self-directed, needs minimal supervision,hands-on leader to drive quality in usability and experience
- Always experimenting than hypothesizing (Learn it all vs. know it all)
- Ability to design, architect and quickly complete projects with minimal supervision and direction
- Strong interpersonal communication skills
- Work as a team while owning key product deliverables
- You are passionate, unafraid & loyal to the team & mission
- You love to learn & win together
- You communicate well through voice, writing, chat or video, and work well with a remote/global team
What we offer:
- Influence & Impact: Lead and shape the future of healthcare AI implementations
- Outsized Opportunity: Join at the ground floor of a rapidly scaling, VC-backed startup
- Ownership, Autonomy & Mastery: Full-stack ownership of customer programs, with freedom to innovate
- Learning & Growth: Constant exposure to founders, customers, and new technologies—plus a professional development budget
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.
Skills Required
- Bachelor's or Master's degree in Computer Science or a related field
- 10+ years of software development experience
- At least 3+ years in a technical leadership role
- Deep understanding of software architecture principles and design patterns
- Strong experience with cloud platforms such as AWS, GCP, or Azure
- Proficiency in one or more programming languages, including Python, MERN, or C++
- Experience with relational and NoSQL database technologies
- Experience with Docker and Kubernetes
- Experience building and scaling high-traffic distributed systems
- Excellent communication, collaboration, and leadership skills
- Strong problem-solving and analytical skills
- Experience with Agile development methodologies
- Experience with AI/ML infrastructure and tools
- Experience with DevOps practices and CI/CD pipelines
- Contributions to open-source projects
- Self-directed owner mentality and ability to work with minimal supervision
- Ability to design, architect, and complete projects with minimal direction
- Experience working with remote or global teams
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The Company
What We Do
Autonomize AI Agents & Copilots organize, contextualize and summarize unstructured data to reduce the administrative burden for healthcare knowledge workers to make data-driven decisions and improve patient outcomes. Our customers include health plans, providers and life sciences companies. Unlike generic AI systems retrofitted for healthcare, Autonomize deeply understands medical contexts, terminologies, and operational nuances. Our healthcare-focused AI Agents & Copilots augment knowledge work, drastically reducing administrative burden. Care management teams spend 78% less time per case, achieving an impressive 85% boost in case review efficiency. Prior authorization processes that traditionally take 20-30 minutes shrink to mere seconds, accompanied by an 80% reduction in manual errors, saving millions of dollars annually. Our AI Agents turn chaotic, unstructured healthcare data—clinical notes, PDFs, faxes, and claims—into structured, contextual information that informs decisions and actions. This has driven substantial real-world impact: organizations using Autonomize experience a 92% reduction in manual effort for care gaps and HEDIS chart reviews, dramatically improving compliance and STAR ratings. Autonomize AI is purpose-built for healthcare, transforming healthcare operations one workflow at a time through AI-native solutions that deliver immediate, scalable impact.
