RadiantGraph is a rapidly growing, venture-backed healthcare technology company solving a core challenge for health plans: moving from fragmented, legacy data infrastructure to intelligent, actionable member engagement at scale. Its AI-powered platform unifies claims, pharmacy, clinical, and SDoH data into a single intelligence layer, applies proprietary machine learning to identify high-impact member cohorts, and drives personalized outreach across all channels, including voice AI. The platform delivers measurable improvements in enrollment, care-gap closure, and ROI — with results in weeks, not quarters — supporting enterprise payers, digital health organizations, and care delivery partners working to improve outcomes and reduce total cost of care.
Founded by Anmol Madan (Ginger; Livongo/Teladoc), RadiantGraph combines deep payer expertise with elite engineering talent (40% of the team holds PhDs in ML/AI), is cloud-native, and can be implemented in as little as 30 minutes. RadiantGraph was also awarded the $1M Grand Prize in the Databricks “Built on Databricks” Startup Challenge, underscoring its technical leadership and enterprise-readiness within the modern data ecosystem
We’re hiring a Senior Full-Stack Software Engineer to build and ship production systems that power AI-driven healthcare engagement at scale.
You’ll work across Python (FastAPI) and TypeScript (Next.js) to deliver end-to-end features, owning everything from backend services to user-facing experiences. This is a hands-on role focused on execution, not coordination.
We move quickly, but not carelessly. Engineers here are expected to make pragmatic tradeoffs, push back on weak designs, and apply rigor where mistakes compound, especially around data integrity, system reliability, and user trust.
Build and ship end-to-end features across the stack using Python (FastAPI) and TypeScript (Next.js)
Own features from initial design through implementation, testing, and deployment across backend and frontend systems
Make pragmatic tradeoffs between speed and correctness, with a bias toward delivering value while maintaining system integrity
Identify when problems require deeper rigor (e.g., data correctness, safety, security, failure modes) vs. when lightweight solutions are appropriate
Design and implement APIs, services, and frontend experiences that are cohesive, reliable, and easy to evolve
Write clean, maintainable, and well-tested code across both backend and frontend, with attention to edge cases that impact reliability and user experience
Participate in high-quality code reviews, both giving and receiving detailed, constructive feedback across the stack
Collaborate with Staff engineers and leadership on system design, architecture, and technical direction across services and user-facing applications
Work closely with product and design to translate requirements into intuitive, performant user experiences and robust backend systems
Improve system performance, scalability, and reliability across both backend services and frontend applications
Contribute to CI/CD, observability, and operational excellence across the full stack
5-10 years of software engineering experience building production systems across backend and frontend
Strong experience with Python (FastAPI, Django, Flask, or similar) and TypeScript (React, Next.js, or similar frameworks)
Proven track record of shipping end-to-end features with both speed and reliability
Experience designing and building APIs (REST, OpenAPI, or GraphQL) and integrating them into frontend applications
Strong understanding of modern frontend architecture (state management, data fetching, performance, UX considerations)
Strong understanding of database design (PostgreSQL, MongoDB, etc.)
Solid grasp of authentication, authorization, and security best practices across both backend and frontend systems
Experience working in cloud environments (AWS, GCP, or Azure)
Experience building highly interactive or data-rich frontend applications (dashboards, workflows, real-time systems)
Experience with design systems or component libraries
Experience with modern data platforms (Databricks, Spark, lakehouses)
Familiarity with ETL pipelines or ML-driven systems and integrating them into user-facing products
Experience working in healthcare or regulated environments (HIPAA, SOC2)
Candidates must be legally authorized to work in the United States without the need for current or future employer-sponsored visa support. This role is not eligible for visa sponsorship now or in the future.
We are not accepting candidate submissions from third-party recruiters, staffing agencies, or other employment vendors for this position.
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