SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Cohere Health is transforming prior authorization in healthcare through AI and advanced rules engines. The Clinical Intelligence team is building deterministic rules-based and AI-driven healthcare automation solutions that streamline payer-provider decision-making.
In this role, you will contribute to the functional and technical roadmap alongside cross-functional teams, actively support technical design processes with data-driven analysis, and continuously evaluate new technologies to maximize development efficiency. You'll contribute heavily to feature design, development, testing, and delivery across the full stack—from database to frontend—on cloud-based platform and web applications. You'll drive daily engineering releases (2-4 times monthly) and perform production support duties 1-2 times annually.
You'll also support information security practices by assisting with implementation and maintenance of security policies, ensuring team competence in information security, and reporting issues to the Information Security Manager.
Cohere Health's platform connects health plans' strategic goals with providers' needs, optimizing speed, cost, and quality of care. The company recently acquired ZignaAI to expand its AI-native platform with a comprehensive Payment Integrity Suite. Cohere has been recognized on TIME's World Top HealthTech Companies 2025 list, the 2025 Inc. 5000 list, and in the Gartner Hype Cycle for U.S. Healthcare Payers (2022-2025).
REQUIREMENTS:
- Bachelor's degree or higher in Computer Science, software engineering, or equivalent field experience
- Minimum 6-8 years of full-time software development lifecycle experience
- Proficiency with Java/Groovy or Python (required)
- Experience building applications using React and JavaScript (TypeScript is a plus)
- Familiarity with cloud development (AWS/Azure)
- Experience with relational (MySQL, Postgres) and NoSQL (DynamoDB, Elasticsearch, MongoDB) datastores, including data access patterns and strategies
- Hands-on experience with test frameworks such as Cypress, Jest, Mocha, JUnit, or Cucumber (plus, not required)
- Demonstrated high-level ownership across the entire SDLC: designing, building, testing, deploying, and supporting production services in fast-paced environments
- Self-starter requiring minimal direction; ability to learn quickly and adapt to changing priorities
- Prior healthcare and life sciences experience is a plus but not required
NICE-TO-HAVES:
- Integrating AI/LLM-based systems into product workflows
- Open source or community project contributions
- Designing or implementing agent-based systems or AI products involving autonomous or task-driven agents
