Senior Software Engineer at Leap

, , United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jun, 26

Salary

250000.0

Posted On

15 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Ai, Automation, Llm Agents, Full Stack Generalist, Typescript, Frontend, Backend, Data, Infrastructure, Hipaa Compliance, Identity/Auth, Crm Integrations, Etl, Bigquery, Salesforce, Hubspot

Industry

Wellness and Fitness Services

Description

About Leap Leap is one of the fastest-growing benefits solutions and a category-defining pioneer in employer specialty pharmacy. We are reshaping how life-changing therapies are delivered and financed, ensuring patients get the treatment they need while employers finally get a fair deal. Specialty drugs and infusions represent nearly 10% of all healthcare spend and are the fastest-growing cost category for employers. Leap tackles this challenge with a novel approach: eliminating hidden markups, expanding access to high-quality infusion providers, and bringing clarity and fairness to how therapies are priced and paid for. We’re proud to partner with numerous Fortune 500 companies and leading TPAs. Each patient we serve creates immediate ROI: lower costs, improved access, and better care. Join us as we redefine what’s possible in specialty care. About the Role The Senior Software Engineer builds the AI and automation systems that power Leap’s clinical and business operations. You will own large surface areas across product, data, infrastructure, and automation, helping scale the company’s operational platform as the business grows. This role partners closely with Clinical Operations, Business Operations, and company leadership to identify high-value automation opportunities and ship systems that improve care delivery and internal efficiency. Engineers here have real input into what we build, not just how. This position reports to the Engineering Lead. Key Responsibilities AI and Automation Build LLM agents and automation pipelines that replace manual operational workflows Design and ship AI-driven care orchestration systems that coordinate treatment journeys across patients, providers, pharmacies, and internal teams Identify high-value automation opportunities by working directly with clinical and business operations teams Product Development Own and ship both internal and external products used by clinical teams, growth teams, partners, and customers Talk to users (often internal teams), instrument what you ship, and use the data to decide what to build next Platform and Infrastructure Build and maintain shared services, identity/auth, and HIPAA-compliant data architecture Ship integrations across CRM and external healthcare systems Design PHI-safe LLM pipelines, agent orchestration frameworks, evaluation systems, and MCP integrations Qualifications Required 1+ years of experience building AI systems in production (LLM integrations, agents, AI-powered workflows) TypeScript-native, full-stack generalist comfortable across frontend, backend, data, and infrastructure Track record of shipping fast with high quality - your code, UI, and documentation hold up without a designer or QA team Have been an early employee, a solo tech lead, or a founder - you know how to work without a detailed roadmap Use AI heavily in your own development workflow Preferred Healthcare or HIPAA experience, data pipelines (BigQuery, ETL), or CRM integrations (Salesforce, HubSpot) At Leap, we’re building an outlier company with real impact — and that takes focus, energy, and commitment. If that excites you, we’d love to hear from you. Leap is an equal opportunity employer and welcomes applicants from all backgrounds. We’re committed to building a team that reflects a diversity of perspectives, experiences, and identities.

Responsibilities

The Senior Software Engineer will build AI and automation systems powering clinical and business operations, owning large surface areas across product, data, infrastructure, and automation to scale the operational platform. Key tasks include building LLM agents, designing AI-driven care orchestration systems, and shipping internal/external products used by various teams.