Note: The job is a remote job and is open to candidates in USA. General Dynamics Mission Systems is a leading provider of high technology solutions in the defense and scientific arenas. They are seeking an Artificial Intelligence Engineer to build production AI systems and implement data-to-insight pipelines, contributing to the development of innovative solutions for enterprise challenges.
Responsibilities
- Production AI services. Build and deploy agentic workflows, RAG pipelines, and LLM-integrated applications using Python, LangChain/LangGraph, and commercial foundation models (Claude, Codex, Gemini, open source)
- Data-to-insight pipelines. Implement document ingestion workflows that transform unstructured enterprise data into structured models for AI reasoning — embeddings, vectorization, knowledge graphs
- API integration. Design and build secure API interfaces that connect AI services to internal tools, enterprise platforms (Oracle, IFS, Snowflake, PLM, MES, CRM), and data sources
- Deployment and reliability. Containerize and deploy AI services using Docker and Kubernetes. Build monitoring and evaluation pipelines to track model reliability, latency, and operational performance
- Prompt engineering at scale. Design, test, and optimize prompts and agent configurations for production use — not demos
Skills
- Bachelor's degree in Computer Science, Software Engineering, or a related field, plus 5 years of experience; or Master's degree plus 3 years of experience
- Production experience building applications with LLM APIs — you have deployed generative AI services that real users relied on, not just experimented with in notebooks
- Strong Python development skills — you write clean, testable, production-grade code, not scripts
- Experience with RAG pipelines, vector databases, and document ingestion workflows in production environments
- Experience building and consuming REST APIs — you have integrated AI services with enterprise systems and data platforms
- Containerized deployment experience — Docker, Kubernetes, CI/CD pipelines. You have shipped code through automated pipelines, not manual deployments
- U.S. citizenship required. Department of Defense Secret security clearance is required at time of hire
- Experience with agent frameworks — LangChain, LangGraph, or similar tools for building multi-step, tool-using AI workflows
- Experience with multiple cloud platforms (AWS, Azure, GCP) including cloud-native AI services
- Hands-on use of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) as part of your daily workflow
- Experience with streaming data pipelines (Kafka, Airflow) and production data infrastructure
- Model monitoring and evaluation — you have built systems to track AI service reliability, not just accuracy metrics in a notebook
- Commercial technology background — SaaS, healthcare, fintech, or platform engineering. Defense experience is not required
Benefits
- Remote — 100% telework
- 9/80 schedule
- We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose.
- You will also enjoy a flexible work environment where contributions are recognized and rewarded.
Company Overview