AI Software Engineer – TS/SCI

Vantor

. Integrate AI chatbots and assistants into existing geospatial, analytics, visualization, and mission applications .

Posted 11/3/2026full-timeUnited StatesSeniorLead💰 $140,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in integrating AI chatbots and assistants into geospatial and analytics applications, with strong capabilities in developing natural-language workflows and implementing LLM patterns. Proficient in deploying AI services in Kubernetes and Red Hat OpenShift while ensuring compliance with identity and data-access policies.

Highest-signal resume keywords

Active TS/SCI ClearancePython ProgrammingREST API DevelopmentGenerative AI IntegrationKubernetes Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringNatural-Language ProcessingData Discovery WorkflowsPrompt OrchestrationVector SearchAutomated TestingAgile DevelopmentMicroservices ArchitectureAI Safety ControlsGeospatial Applications

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

KubernetesRed Hat OpenShiftGitElasticsearchAI Orchestration FrameworksKnowledge GraphsGISCI/CD

Certifications & Qualifications

Bachelor's Degree in Computer ScienceWillingness to Obtain CI Poly

Industry Keywords

AI ChatbotsMission-Critical SystemsData-Protection ControlsHuman-in-the-Loop ApprovalsProduction Applications

Tech Stack

Tools & technologies

CloudElasticSearchJavaJavaScriptKubernetesMicroservicesOpenShiftPythonReactTypeScriptC++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 LLM patterns including 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-focused 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
Protect 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

U.S. Citizen
Active TS/SCI clearance, with willingness to obtain a CI poly
Bachelor's degree in computer science, software engineering, data science, artificial intelligence, or a related field
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
Experience with AI chatbots, React, TypeScript, or comparable web frameworks preferred
Experience with AI orchestration frameworks, model gateways, MCP-compatible services, or agent-to-tool integration preferred
Experience deploying LLMs in cloud, on-premises, classified, air-gapped, or disconnected environments preferred
Experience with vector search, Elasticsearch, knowledge graphs, GIS, imagery, geospatial applications, or mission-critical systems preferred
Experience with AI safety controls, human-in-the-loop approvals, model monitoring, evaluation, GPU workloads, or model serving preferred
Experience with containers and Kubernetes; Red Hat OpenShift experience preferred

Benefits

Comp & perks

401(k) with company match
Mental health resources
Student loan repayment assistance
Adoption reimbursement
Pet insurance
Competitive total rewards package