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xCures

Oncology data platform for treatment decisions

AI Solutions Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 3 years of professional software development experience.
  • Fluency in Python, TypeScript, React or a comparable modern language and framework, with production code to demonstrate, and the ability to be productive in both.
  • Experience directing AI coding agents at scale and critically reviewing their work.
  • Experience building with large language model APIs, including tool use and evaluating output quality.
  • REST API design and integration experience, plus working knowledge of cloud infrastructure.
  • Git and continuous integration/continuous delivery experience.
  • SQL and relational database experience, including querying and modeling data in a warehouse.
  • Familiarity with standard software development lifecycle and DevOps practices, including ticketed work, code review, automated testing, and deployment pipelines.
  • Experience with regulated data such as protected health information, and a security-first approach to engineering.
  • Ability to work directly with customers to understand their needs and jobs to be done, then turn that understanding into working solutions quickly.
  • A bachelor's degree in computer science or a related field, or equivalent practical experience.
  • Must already have authorization to work in the United States.

Responsibilities

  • Build and maintain customer integrations, including data connectors, API-based integrations, and FHIR and C-CDA data flows, and own them from first commit through production.
  • Build and ship agents, skills, and automations used in daily work by Customer Solutions, Customer Success, and Sales.
  • Prototype proofs of concept and demo environments for prospects using synthetic patient records only, and carry each proof of concept end to end with the account team.
  • Support customer onboarding and technical troubleshooting, resolving issues at the Customer Solutions layer to reduce escalations to Engineering.
  • Join discovery calls with Sales and Channel Partnerships to ask technical questions that qualify a deal, answer technical questions throughout the sales cycle, and contribute to RFP responses and security questionnaires.
  • Work with Engineering, Product, Customer Success, and Sales and Channel Partnerships to scope integrations, surface product gaps, and hand off work that belongs in the core platform.
  • Follow the team's software development lifecycle: start every session with a ticket, move work through code review and continuous integration/continuous delivery, and document shipped work.
  • Threat-model shipped work, protect secrets and patient data, and follow HIPAA and HITRUST practices.
  • Design agents and automations to be safe by default, using least privilege, human approval for irreversible actions, and a record of their actions.
  • Automate repetitive review, testing, and deployment work, and maintain quality and security gates in the pipeline.
  • Write tests alongside shipped code, including evaluations for agent and skill behavior, to ensure integrations and automations can be trusted in production.
  • Within the first 90 days, ship a first customer integration to production and take one prospect proof of concept end to end.
  • Within the first year, turn one-off integrations into a reusable toolkit customers can adopt with less hands-on support; measure progress by time from contract to live integration, proof-of-concept-to-closed-won conversion, fewer Customer Solutions escalations to Engineering, zero security or protected health information incidents, and automation reliability.

Desired Qualifications

  • AWS experience is preferred.
  • Experience with healthcare data standards such as FHIR or C-CDA, or with TEFCA and Carequality networks.
  • Experience with agentic frameworks or tool-calling protocols.

About the Company

xCures

Oncology data platform for treatment decisions

xCures uses artificial intelligence to help doctors and researchers improve cancer care. It provides a platform that automatically extracts, normalizes, and structures real-time medical data to support treatment decisions. The product ingests diverse data from providers, researchers, and pharmaceutical companies and turns it into clear, actionable insights for oncologists and cancer patients. Unlike others, xCures focuses on real-time, large-scale cancer data and fragmented medical records to enable precision medicine and faster access to critical information. The company licenses its AI-powered platform through subscriptions and offers data analytics services to its clients. Its goal is to turn complex healthcare data into clinically useful insights that improve patient outcomes and support investigational cancer treatments and precision medicine guidelines.

Company size
51-200
Company stage
Series B
Total funding
$58.7M
Headquarters
Oakland, CA
Founded
2018

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