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# AI Software Engineer (TS/SCI)

- **Company:** Vantor Inc.
- **Location:** Westminster, CO, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Geographic Information Systems, Agile Methodology, Artificial Intelligence, Data Analysis, Audit Trail, Automation of Tests, C++ (Programming Language), Continuous Integration, Data Discovery, Information Leak Prevention, Elasticsearch, Geospatial Intelligence, GIS Applications, Graph Database, Monitoring of Systems, Python (Programming Language), Metadata Repositories, Open Source Technology, OpenShift, Software Safety, Search Technologies, Software Engineering, TypeScript, Web Application Frameworks, Chatbots, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Backend, Git, AI Platforms, Kubernetes, Information Technology, Low Latency, Machine Learning Operations, Front End Software Development, Virtual Agents, Invoking Functions, Restful APIs, Prompt Orchestration, Golang, Microservices
- **Published:** November 4, 2026
- **Apply:** https://diversityjobs.com/career/18829172/Ai-Software-Engineer-Ts-Sci-Colorado-Westminster

## About the Role

We are seeking a Senior AI/ML Software Engineer to integrate secure chatbot and AI assistant capabilities into existing geospatial intelligence, analytics, visualization, and mission-support tools. You will help analysts discover data, navigate applications, and complete approved workflows using natural language. The role requires strong software engineering skills, practical LLM experience, and an understanding of secure, usable AI in mission environments., Must be a U.S. Citizen with an 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 with 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 patterns such as 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 and 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 building chatbot interfaces with React, TypeScript, or comparable web frameworks and applying usability practices.
 * Experience with AI orchestration frameworks, model gateways, MCP-compatible services, or agent-to-tool integration.
 * Experience deploying commercial, open-source, or locally hosted LLMs in cloud, on-premises, classified, air-gapped, or disconnected environments.
 * Experience with vector search, Elasticsearch, knowledge graphs, GIS, imagery, geospatial applications, or other mission-critical systems.
 * Experience with AI safety controls, human-in-the-loop approvals, model monitoring, evaluation, GPU workloads, or model serving.
 * Experience with containers and Kubernetes; Red Hat OpenShift experience is preferred.

#cjpost

#LI-RD

#LI-Onsite

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

## Description

* 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 such as 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 that make AI assistance simple for analysts to use.
 * 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, and collaborate with technical and customer teams.