3 days ago
Remote, United StatesMid Level
H1B sponsor
Base Salary
$87k - $157k/yr
Responsibilities
- Design, develop, test, and maintain backend services, APIs, and data-processing workflows for the HDE product.
- Develop production-quality Python software for document ingestion, processing, clinical data extraction, validation, enrichment, and delivery.
- Integrate generative AI, NLP, OCR, and machine-learning services into secure backend applications.
- Build RESTful APIs and asynchronous or event-driven processing workflows for structured and unstructured healthcare data.
- Implement automated unit, integration, and regression tests and troubleshoot software, data, performance, and integration issues.
- Improve reliability through structured logging, monitoring, error handling, retries, and operational metrics.
- Evaluate AI-assisted extraction results and implement validation, grounding, confidence scoring, and quality-control mechanisms.
- Optimize services for performance, scalability, resilience, and cost while protecting sensitive healthcare information.
- Participate in design discussions, code reviews, estimation, sprint planning, documentation, and continuous improvement.
- Collaborate with software engineers, AI/ML engineers, data engineers, product managers, and domain specialists.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, or a related technical discipline, with 4+ years of relevant professional experience; additional experience may substitute for a degree.
- Professional software development experience using Python or a comparable backend programming language.
- Experience developing and supporting production backend services, APIs, or data-processing applications.
- Understanding of object-oriented and modular design, data structures, error handling, and maintainable coding practices.
- Experience with REST APIs, JSON-based data contracts, relational databases, SQL, and asynchronous or event-driven processing.
- Familiarity with cloud platforms and managed services, preferably AWS.
- Experience integrating AI/ML models or managed AI services into software applications and working knowledge of NLP, document processing, generative AI, or information extraction.
- Experience writing automated tests, troubleshooting across development and deployed environments, using Git, and participating in code reviews.
- Ability to obtain and maintain a security clearance or Public Trust/suitability determination as required by the program.
- Preferred qualifications include AWS serverless and cloud-native development, healthcare records or protected health information experience, FHIR or HL7, document-processing and AI extraction pipelines, responsible AI practices, Terraform, CI/CD, PostgreSQL, distributed workflows, Docker, and professional services, healthcare, government, or federal consulting experience.
Benefits
- The listed pay range is $87,100.00-$157,450.00.
- The posting was originally published October 16, 2026, and is anticipated to remain open for at least 3 days.
Categories
About Leidos
Leidos builds and operates technology and engineering solutions for defense, intelligence, civil, and health agencies, including systems integration, cyber, enterprise IT, sensors, and healthcare IT. It primarily sells through government contracts and long-term programs, plus managed services and mission software. Founded in 1969 and headquartered in Reston, Virginia, Leidos is a Fortune 500 public company on the NYSE; customers include U.S. defense and intelligence agencies and civil bodies such as the FAA.