206251 - AI Engineer

• Experience developing backend applications or services in Java.
• Hands-on experience working with cloud services and deploying applications on GCP (or equivalent cloud experience with the ability to ramp quickly).
• Experience designing and implementing REST APIs, including common authentication/authorization approaches and integration patterns.
• Experience integrating AI capabilities into applications (for example: calling AI APIs/services for summarization, extraction, classification, or decision support) and familiarity with basic evaluation/monitoring concepts.
• Practical knowledge of secure engineering fundamentals (least privilege access, secrets management, encryption, and audit logging).
• Proficiency with Git-based workflows and working knowledge of CI/CD concepts and release practices.
• Strong troubleshooting skills, including defect triage, performance tuning, and supporting applications with observability tools.
• Strong communication and collaboration skills across engineering, QA, DevOps, product, and security stakeholders.
• Preferred Qualifications
• Experience working in Agile teams and applying Software Development Life Cycle (SDLC) practices.
• Familiarity with change/configuration management tools (for example: VersionOne, ServiceNow) and/or Application Lifecycle Management (ALM) practices.
• Experience with container and/or serverless concepts (for example: Docker, Kubernetes fundamentals, or managed/serverless deployments).
• Experience participating in production support rotations and contributing to post-incident analysis and corrective actions.

o A minimum of Eight (8) years’ relevant experience.

o A degree from an accredited College/University in the applicable field of services is required.

If the individual's degree is not in the applicable field then four additional years of related experience is required.

o Typically performs all functional duties independently.

• o Note: Special credentials (licenses and/or certifications) may be required at the Task Order level on a case-specific basis."

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