Live opening · Posted 1 day ago

Senior Software Engineer, Backend (Applied AI)

TalentHop · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyTalentHop
LocationUnited States (Remote)
Salary401(k), Vision, Medical, Dental, +2 benefits
Work modeYes
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

This is a Fully Remote Job
1. About Our Client:
This organization operates within the healthcare technology sector, focusing on enhancing revenue cycle operations in health systems through clinical artificial intelligence. It addresses the challenge of accurately capturing the value of patient care by leveraging physician-data scientist expertise and clinically validated electronic health record data. The program’s AI platform interprets complex patient information to provide clinically sound recommendations that help hospitals recover revenue, improve quality metrics, reduce denials, and streamline processes.
2. About the Opportunity:
The Senior Software Engineer, Backend (Applied AI) role is centered on developing backend systems that integrate machine learning and large language model capabilities into clinical AI products. This position bridges backend engineering and AI, working to transform experimental models into dependable, production-ready software that supports healthcare teams. The role is critical for advancing the organization's AI-powered applications and ensuring their reliability and scalability.
3. Responsibilities:
Design, build, and deploy backend services incorporating LLMs and AI models
Develop production workflows for model inference, tool use, and agentic processes
Collaborate with Data Scientists to transition models into maintainable production systems
Implement evaluation and feedback mechanisms to monitor AI performance
Architect systems to manage probabilistic and non-deterministic AI behavior
Handle clinical and operational data across structured and unstructured formats
Work cross-functionally with engineering, product, data science, and clinical teams
Enhance backend architecture to support scalable applications
Ensure patient data privacy and security through secure coding practices
Research and recommend improvements in AI system development
Provide production support for AI applications
4. Requirements:
Minimum 5 years in software development focusing on backend and cloud systems
Proficiency in Python and/or TypeScript with strong engineering fundamentals
Experience building and deploying LLM-powered applications
Skilled in integrating AI models into larger software systems
Experience working closely with Data Scientists or ML teams
Expertise in API, service, data model design, and asynchronous workflows
Familiarity with Postgres or similar relational databases
Experience with cloud-native distributed architectures
Ability to evaluate and monitor AI systems in production
Strong judgment in reliability, testing, and failure handling of probabilistic systems
Experience in security-sensitive environments
Excellent communication and collaboration skills
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field or equivalent experience
5. Pay Range and Compensation Package:
Base salary range: $190,000 to $230,000
6. Benefits & Perks:
Medical, Dental, and Vision insurance covering approximately 75% of premiums
Paid parental leave up to 12 weeks for birth or adoption
Remote-first work policy within the United States
Unlimited paid time off and 11 holidays
401(k) plan with Traditional and Roth options and a 4% match
Equal Opportunity Statement:
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Work arrangement
Yes

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