Agentic AI Engineer

Agentic AI Engineer

The Opportunity:

AI is moving quickly, but the real value comes from turning emerging capabilities into secure, reliable solutions that people can use. As an Agentic AI Engineer, you’ll help design and build AI agents and applications that support mission and enterprise workflows, connect users to trusted data, and improve how organizations make  this role, you’ll work across AI engineering, software development, data integration, and cloud technologies.

You’ll help move capabilities from early prototypes to production by designing agent workflows, integrating tools and data, and building applications that are practical, maintainable, and secure.

You’ll collaborate with engineers, data specialists, security professionals, and mission stakeholders to understand real needs and translate them into useful technical solutions. If you’re excited about applying AI to meaningful problems and helping shape what comes next, we invite you to join us.

What You’ll Work On:

Design, develop, test, deploy, and support production-grade AI agents and AI-enabled applications.

Build agent architectures that incorporate orchestration, tool use, state management, error handling, evaluation, observability, and operational support.

Integrate mission and enterprise data with large language models using RAG, MCP, secure tool access, prompt management, and context engineering.

Incorporate geospatial intelligence data, including raster and vector data, spatial context, metadata, and analytic results into applications and user workflows.

Develop Python, SQL, R, and RESTful services that connect AI capabilities with enterprise data platforms.

Develop Node.js applications, dashboards, and user interfaces that securely consume Oracle Database data.

Collaborate with technical and mission stakeholders to translate requirements into secure, maintainable, and usable AI-enabled solutions.

Join us. The world can’t wait.

You Have:8+ years of experience in software engineering, application development, or AI/ML engineering

Experience designing, building, and deploying production-grade AI agents or AI-enabled applications, including orchestration, tool use, state management, error handling, evaluation, and operational support

Experience integrating mission or enterprise data with large language models using RAG and MCPExperience working with geospatial intelligence data, including raster and vector data types, metadata, spatial context, or analytic results

Experience with Python, SQL, R, and RESTful API development, and using ML frameworks, AutoML, or notebook-based workflows

Experience developing Node.js applications, user interfaces, or dashboards connected to enterprise cloud databases, and collaborating with database engineers to optimize data access, schemas, APIs, and AI-enabled data services

Experience using OpenAI Codex or AI-assisted development tools with communication, troubleshooting, testing, code-review, and security practices

Active TS/SCI clearance; willingness to take a polygraph exam Bachelor’s degree

Nice If You Have:

Experience with Oracle AI Database Agent Factory or comparable agent development frameworks

Experience with Oracle Spatial and Spatial Studio, including spatial analytics and visualization workflows

Experience with Oracle APEX for rapidly developing data-centric applications and dashboards

Experience operating AI applications in regulated, classified, or mission environments

Knowledge of Oracle AI Database 26ai, including vector data types and AI-enabled database capabilities

Knowledge of OCI, including secure deployment, networking, identity, observability, and managed data services

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility…