AI Full Stack Engineer (Info Retrieval)

Lockheed Martin is seeking an AI Full Stack Engineer to join their Advanced Solutions team within the Data & AI Enablement Org. This role involves developing innovative solutions for information retrieval, supporting the AI Strategy Acceleration portfolio, and contributing to the deployment of enterprise-scale services on cloud and on-premise technologies.

Responsibilities:

• Proven full-stack software development experience
• Advanced/senior coding/development experience with Python (advanced proficiency, can mentor others)
• Demonstrated experience with architecting and maintaining Information Retrieval and Semantic discovery systems
• Proven Experience with cloud platforms (e.g. AWS) deploying applications on cloud-based platforms and containerization (e.g., Docker, Kubernetes)
• Experience handling the entire life cycle of an AI-powered application
• Experience managing cloud deployments and MLOps to keep systems running
• Experience with LLMs and/or Generative AI
• Demonstrated experience with API design and specifications (REST/OpenAPI, JSON/JSON-Schema)
• You’ve built and managed APIs and back-end systems
• Demonstrated experience maintaining/managing github/gitlab projects with multiple developers on it
• Demonstrated strategic use of GenAI Coding Assistants

Requirements:

• Proven full-stack software development experience
• Advanced/senior coding/development experience with Python (advanced proficiency, can mentor others)
• Demonstrated experience with architecting and maintaining Information Retrieval and Semantic discovery systems
• Proven Experience with cloud platforms (e.g. AWS) deploying applications on cloud-based platforms and containerization (e.g., Docker, Kubernetes)
• Experience handling the entire life cycle of an AI-powered application
• Experience managing cloud deployments and MLOps to keep systems running
• Experience with LLMs and/or Generative AI
• Demonstrated experience with API design and specifications (REST/OpenAPI, JSON/JSON-Schema)
• You've built and managed APIs and back-end systems
• Demonstrated experience maintaining/managing github/gitlab projects with multiple developers on it
• Demonstrated strategic use of GenAI Coding Assistants
• US Citizenship is required due to program requirements and system access
• Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field or equivalent education/experience
• Practical experience with production level LLM Tool Calling workflows
• Proven design and delivery experience in API Development & Integration
• Proven Experience setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or OpenShift pipelines)
• Data engineering experience including designing/deploying/maintaining ETLs, and creating/managing RDS
• Production level Information retrieval and semantic data discovery development experience (e.g. Experience with Vector Databases, k-NN, and Semantic Search)
• Advanced proficiency in at least two other languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages
• Expertise and strategic use of GenAI Coding Assistants
• Experience with agent development using various agentic tools and frameworks
• Experience with autonomous workflows, Agentic devOps, and the Agentic development Lifecycle
• Excellent communication and liaison experience with external technical partners, customers, and cross‑functional stakeholders
• Experienced in agile development methodologies and version control systems (e.g., Git)
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field