Backend Software Engineer – AI/ML Integration

Leidos is hiring a Backend Software Engineer to support its Health Data Extraction product. The role develops and maintains cloud-based backend services and integrates AI/ML, NLP, and document-processing capabilities to transform healthcare information into reliable, standards-based data products.

Responsibilities:

• Design, develop, test, and maintain backend services, APIs, and data-processing workflows supporting 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 other machine-learning services into secure and reliable backend applications
• Convert product requirements, technical specifications, and data contracts into maintainable software components
• Build and support RESTful APIs and event-driven processing workflows
• Process structured and unstructured healthcare data and produce consistent, standards-based outputs
• Implement automated unit, integration, and regression tests to protect product quality and prevent defects
• Diagnose and resolve software, data, performance, and integration issues across distributed cloud services
• Improve application reliability through structured logging, monitoring, error handling, retries, and operational metrics
• Evaluate AI-assisted extraction results and help implement validation, grounding, confidence scoring, and quality-control mechanisms
• Optimize services for performance, scalability, resilience, and cost
• Protect sensitive healthcare information by following applicable security, privacy, and data-handling requirements
• Participate in design discussions, code reviews, estimation, sprint planning, and collaborative problem-solving
• Work independently on moderately complex assignments while coordinating with software engineers, AI/ML engineers, data engineers, product managers, and domain specialists
• Contribute to technical documentation, engineering standards, and continuous improvement of the development process

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 be considered in lieu of 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 software design, data structures, error handling, and maintainable coding practices
• Experience with REST APIs, JSON-based data contracts, and asynchronous or event-driven processing
• Experience working with relational databases and SQL
• Familiarity with cloud platforms and managed services, preferably AWS
• Experience integrating AI/ML models or managed AI services into software applications
• Working knowledge of NLP, document processing, generative AI, or information-extraction concepts
• Experience writing automated tests and troubleshooting software across development and deployed environments
• Experience using Git and participating in collaborative development and code-review workflows
• Strong analytical, organizational, and problem-solving skills
• Effective written and verbal communication skills, including the ability to work with technical and nontechnical stakeholders
• Ability to independently complete assigned features and contribute to the design of moderately complex software components
• Ability to obtain and maintain a security clearance or Public Trust/suitability determination, as required by the program
• Experience developing serverless or cloud-native applications using AWS services such as Lambda, Step Functions, SQS, S3, API Gateway, RDS/PostgreSQL, CloudWatch, Bedrock, or Textract
• Experience working with healthcare records, clinical documents, or protected health information
• Familiarity with healthcare interoperability standards such as FHIR or HL7
• Experience building document-processing, OCR, NLP, or generative-AI extraction pipelines
• Experience evaluating AI-generated results for accuracy, traceability, grounding, and reliability
• Familiarity with responsible AI practices, including human review, auditability, data protection, and model-output validation
• Experience with infrastructure as code, preferably Terraform, and automated CI/CD pipelines
• Experience with PostgreSQL, distributed workflows, message queues, and asynchronous processing
• Familiarity with containerized development using Docker
• Prior professional services, healthcare, government, or federal consulting experience
• Understanding of Domain-Driven Design, specification-driven development, and test-driven development
• Demonstrated curiosity and willingness to learn and apply new technologies, frameworks, and engineering practices