Senior AI/ML Software Engineer

Quick Facts

• Role: Senior AI/ML Software Engineer

• Security clearance: Active U.S. Government TS/SCI (eligibility required)

Description

Integrate secure chatbot and AI assistant capabilities into existing geospatial intelligence, analytics, visualization, and mission-support tools. Build natural-language workflows for data discovery, application navigation, visualization generation, and approved actions using LLM patterns such as RAG, retrieval, tool calling, and conversation context. Enforce secure access controls, provide citations/provenance and audit records, test AI quality/safety/latency, and deploy and operate AI services in Kubernetes/OpenShift (including restricted or disconnected environments).

Responsibilities

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

• Create natural-language workflows to support approved analyst activities.

• Implement LLM patterns: prompt orchestration, RAG, tool calling, conversation context.

• Connect AI services to REST APIs and mission data ecosystems (data catalogs, search platforms, knowledge graphs, geospatial services, notebooks, dashboards).

• Develop reusable backend services and frontend components to make AI assistance easy for analysts.

• Enforce identity/entitlements and data-access policies; ensure 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/disconnected environments.

Requirements

• Active TS/SCI U.S. Government security clearance.

• Bachelor’s degree in computer science/software engineering/data science/AI or related field.

• 8+ years of professional software engineering delivering production applications/services.

• Hands-on production experience integrating generative AI/LLMs 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 with Git, automated testing, CI/CD, and Agile development.

• Experience integrating enterprise data sources and applying secure identity, authorization, and data-protection controls.

Benefits

• Competitive total rewards package including robust 401(k) with match.

• Mental health resources and additional perks (student loan repayment assistance, adoption reimbursement, pet insurance).