Founding Software Engineer

About the role

You will architect and implement the AI and automation systems that directly power employer specialty pharmacy operations at Leap. This role owns the translation of complex clinical and business requirements into reliable software that executes in production. You will collaborate tightly with Clinical Operations, Business Operations, and leadership to define, refine, and ship high-impact features. Your work will focus on replacing manual, error-prone workflows with intelligent LLM agents and robust automation pipelines. You will be responsible for ensuring that these systems perform reliably and securely while handling sensitive operational data. Clear communication will be as important as your technical implementation decisions in this environment. You will spend significant time on planning, code review, and debugging, ensuring that your solutions hold up without constant redesign.

Key facts

What you'll do

Replace manual operational workflows by building LLM agents and automation pipelines, reducing process friction for clinical and business operations.

Implement full-stack features using a TypeScript-native approach, ensuring consistency across frontend, backend, data, and infrastructure layers.

Leverage AI heavily in personal development workflows to design and build systems that are scalable, observable, and maintainable in production.

Contribute to systems that integrate with data pipelines in BigQuery, ETL processes, and CRM platforms such as Salesforce and HubSpot to reduce compliance risk.

Enable scalable data flows that support employer specialty pharmacy operations while maintaining a high standard of security and reliability.

Work as an early employee, a solo tech lead, or a founder by taking initiative and shipping features without a detailed roadmap or extensive guidance.

Demonstrate the ability to write, review, and debug code while producing documentation, UI components, and infrastructure that remain robust over time.

Collaborate with Clinical Operations and Business Operations teams to translate ambiguous requirements into concrete technical solutions.

Own the full lifecycle of feature development, from initial design through deployment, monitoring, and iterative improvement.

Use rapid prototyping and AI-assisted development to validate ideas quickly and iterate toward production-ready solutions.

Requirements

Apply as a TypeScript-native, full-stack generalist comfortable across frontend, backend, data, and infrastructure with a track record of shipping fast with high quality.

Bring evidence of high-quality work through code, UI, and documentation that remains reliable without a dedicated designer or QA team.

Possess 1+ years of experience building AI systems in production, including LLM integrations and agents, to ensure readiness for real-world deployment.

Show the ability to operate independently as an early employee, a solo tech lead, or a founder who can navigate ambiguity and drive progress.

Prefer candidates with healthcare or HIPAA experience to help reduce compliance risk in sensitive environments.

Value experience with data pipelines in BigQuery, ETL processes, and CRM integrations using Salesforce and HubSpot to enable scalable data flows.

Bring strong problem-solving skills and the capacity to break down unfamiliar problems, focusing on approach and clarity of thought.

Expect to engage in continuous learning, using AI tools in your personal workflow to design, build, and improve systems efficiently.

Practical notes

This role operates in a US (Remote) environment with an expected onsite day per month to align with team needs.

Travel is not expected as part of the position.

The team is focused on Clinical Operations, Business Operations, and leadership dedicated to building systems that enable care delivery.

Typical interview steps

Hiring for engineering roles usually starts with a recruiter screen, followed by one or two technical rounds.

Candidates often solve a coding problem, discuss past projects, and answer system design questions.

Some loops include a take-home task.

Final rounds typically cover team fit and give candidates a chance to ask questions.

Interviewers look for how you break down an unfamiliar problem, not just whether you reach the answer.

Practicing a few problems aloud and reviewing your own past projects are the best preparation.

Good to know

Specialized benefits often include pharmacy and infusion services expertise in employer specialty pharmacy.

Roles in clinical operations technology typically involve HIPAA-regulated environments and PHI handling.

Strong AI and automation experience is common for systems that coordinate patient journeys across providers and partners.

Generalist full-stack skills are valued in fast-growing startups where ownership spans product, data, and infrastructure.

Toolchains commonly include CRM integrations, data pipelines, and agent orchestration frameworks.

Questions to ask

Useful questions for the interview: what a typical week looks like, how work is assigned, what tools the team uses, and how feedback works.

Asking how the role has changed recently and what the team wishes it had known when joining is also reasonable.

Questions about the manager's priorities are especially valued.

Career growth

Engineering careers usually progress from individual contributor to senior, staff, and principal levels.

Some engineers move into management and lead teams of five to twenty people.

Others stay on the technical track.

Growth follows demonstrated impact, not tenure alone.

A typical engineering ladder has clear levels with defined expectations for scope, quality, and mentorship.

Moving up usually requires owning outcomes end to end rather than completing assigned tickets.