Backend Software Engineer – AI/ML Integration

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $87.1k - $157.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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This company has sponsored H1B visas in the past.

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Leidos

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• 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 • Diagnose and resolve software, data, performance, and integration issues across distributed cloud services • Improve application reliability through 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 • Protect sensitive healthcare information by following security, privacy, and data-handling requirements • Participate in design discussions, code reviews, estimation, sprint planning, and collaborative problem-solving • Coordinate with software engineers, AI/ML engineers, data engineers, product managers, and domain specialists • Contribute to technical documentation, engineering standards, and continuous improvement of development processes

🎯 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 • Preferred: AWS Lambda, Step Functions, SQS, S3, API Gateway, RDS/PostgreSQL, CloudWatch, Bedrock, Textract; healthcare records or protected health information; FHIR or HL7; document-processing, OCR, NLP, or generative-AI extraction pipelines; AI-result evaluation; responsible AI; Terraform; CI/CD; PostgreSQL; distributed workflows; message queues; Docker; professional services, healthcare, government, or federal consulting; Domain-Driven Design; specification-driven development; test-driven development