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Salary
$160k – $200k per year
Location
In office (San Francisco)
Seniority
Middle · 3+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 21, 2026.

Overview
Company
Impact
Profile match
Headquartered in San Francisco, California, True Talent Solutions Partners is a specialized recruitment and talent acquisition consultancy partnering primarily with high-growth technology startups and venture-backed firms. The company focuses on sourcing and placing top-tier talent across core technical and business domains, including artificial intelligence, software engineering, product development, and executive leadership. Through tailored search strategies and direct collaboration with company founders, it helps emerging organizations rapidly scale their teams and build sustainable hiring pipelines.

About the Role

Join an early-stage healthtech team as a Founding Backend Engineer, building the distributed systems behind clinical and healthcare payment workflows. You will own core infrastructure end to end and help bring clinical intelligence capabilities into production.

What You'll Do

  • Build and scale backend systems for chart processing, claims, authorizations, denials, and payer and provider integrations.

  • Develop browser and computer-use automation for navigating electronic health record software and payer portals.

  • Design reliable systems for processing scanned charts, PDFs, structured claims, unstructured notes, and operational data at scale.

  • Build orchestration, queuing, retry, and observability systems for long-running workflows across healthcare platforms.

  • Partner with research and product engineers to productionize clinical intelligence capabilities and establish engineering patterns.

What We're Looking For

  • At least 3 years of backend software engineering experience focused on complex systems and infrastructure.

  • Experience designing and owning backend systems end to end, including Python, microservices, and distributed systems.

  • Experience building data pipelines, workflow orchestration, or systems for large and messy datasets.

  • Experience with LLMs or machine learning models in production; browser automation or complex integrations are also relevant.

  • Background in a technically demanding company or startup, with the ability to work in a fast-paced, early-stage environment.

  • A degree in computer science, mathematics, or a related field, or equivalent strong technical fundamentals.

  • Authorized to work in the United States. Visa sponsorship is not available.

Compensation & Benefits

Base salary is $160,000 to $200,000 annually. Equity details were not provided.

Location

On-site in San Francisco, United States.

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