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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in integrating AI chatbots and assistants into geospatial and analytics applications, with strong capabilities in developing natural-language workflows and implementing secure data-access policies. Proficient in deploying AI services in Kubernetes and Red Hat OpenShift while ensuring compliance with identity and data protection standards.
Highest-signal resume keywords
Generative AI IntegrationPython ProgrammingREST API DevelopmentKubernetes DeploymentTS/SCI Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringNatural-Language ProcessingData Discovery WorkflowsPrompt OrchestrationAI Quality TestingMicroservices ArchitectureAutomated TestingAgile DevelopmentVector SearchAI Safety Controls
Soft Skills
CollaborationCommunication
Tools & Technologies
KubernetesRed Hat OpenShiftGitElasticsearchKnowledge GraphsGISAI Orchestration FrameworksContainersCI/CDFrontend Development
Certifications & Qualifications
TS/SCI Clearance
Industry Keywords
Geospatial ApplicationsData Protection ControlsAI ServicesMission ApplicationsAudit Records
Tech Stack
Tools & technologiesElasticSearchJavaJavaScriptKubernetesMicroservicesOpenShiftPythonReactTypeScriptC++Go
About the role
Key responsibilities & impact- Integrate AI chatbots and assistants into existing geospatial, analytics, visualization, and mission applications
- Build natural-language workflows for data discovery, application navigation, visualization generation, and approved actions
- Implement prompt orchestration, retrieval-augmented generation, tool calling, and conversation context
- Connect AI services to REST APIs, data catalogs, search platforms, knowledge graphs, geospatial services, notebooks, and dashboards
- Develop reusable backend services and frontend components for analyst-facing AI assistance
- Enforce identity, entitlements, and data-access policies
- Provide citations, provenance, audit records, and clear system limitations
- Test and evaluate AI quality, safety, latency, and usability, including protections against prompt injection, data leakage, and unauthorized actions
- Deploy and operate AI services in Kubernetes and Red Hat OpenShift, including restricted or disconnected environments
- Collaborate with technical and customer teams
Requirements
What you’ll need- Bachelor’s degree in computer science, software engineering, artificial intelligence, data science, or a related field, or equivalent experience
- 8+ years of professional software engineering experience delivering production applications or services
- Hands-on experience integrating generative AI or LLMs into production software applications using RAG, embeddings, vector search, function calling, or agent workflows
- Strong Python skills and experience with JavaScript, TypeScript, Java, Go, C++, or another modern language
- Experience building REST APIs or microservices
- Experience using Git, automated testing, CI/CD, and Agile development practices
- Experience integrating enterprise data sources and applying secure identity, authorization, and data-protection controls
- Willingness to work 75% or as needed in a SCIF environment in Herndon, VA; Denver, CO; or St. Louis, MO
- U.S. Person with an active TS/SCI with CI poly, or the ability to obtain the required clearance and polygraph
- Preferred: experience with React, TypeScript, AI orchestration frameworks, model gateways, MCP-compatible services, agent-to-tool integration, LLM deployment, vector search, Elasticsearch, knowledge graphs, GIS, imagery, geospatial applications, AI safety controls, model monitoring, GPU workloads, model serving, containers, Kubernetes, and Red Hat OpenShift
Benefits
Comp & perks- 401(k) with company match
- Mental health resources
- Student loan repayment assistance
- Adoption reimbursement
- Pet insurance
- Competitive total rewards package
