AI Full Stack Engineer Sr
Indexed description
- Full-stack software development experience. Proven coding/development experience with Python (proficient and can mentor others and review code)
- Working knowledge of LLMs and/or Generative AI (knowledge of what they are and how they are used).
- Demonstrated expereince with API design and specifications (REST/OpenAPI, JSON/JSON-Schema). You’ve built and managed APIs and back-end systems
- Experience maintaining/managing github/gitlab projects with multiple developers on it
- 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
What You Will Be Doing
In this role, you will work closely with a team of experts in AI, software engineering, and systems development. You will contribute to the development of innovative solutions that support the organization's goals and objectives. You will develop solutions that inform data-driven decision making and help the organization stay ahead of the curve. You will architect, deploy, and support enterprise scaled services hosted on Cloud and on-premise technologies. This role will provide you with a unique opportunity to learn and grow, mentor, and make meaningful contributions to the team's efforts.
Who You Are
You are a motivated and enthusiastic AI/ML engineer/full-stack developer with a solid foundation in software engineering, systems development, cloud development and deployment, and AI technologies. You have a growth mindset, are curious and eager to learn about new technologies and solutions and are committed to enhancing your skills and staying current with industry trends. You're a team player who is able to collaborate effectively with others. You're adaptable and willing to learn and mentor junior engineers, able to navigate complex technical problems independently with general guidance and support and are looking to build your skills and experience in a dynamic and fast-paced environment.
Further Information About This Opportunity
US Citizenship is required for this role due to program requirements and system access.
#EBDT
Desired Skills
- Expereince with autonomous workflows, Agentic devOps, and the Agentic development Lifecycle
- Practical experience with production level LLM Tool Calling workflows
- Knowledge of Model Context Protocol
- Experience with Information Retrieval and Sematic discovery systems
- Expertise and strategic use of GenAI Coding Assistants
- Expereince with agent development using various agentic tools and frameworks
- Expereince with cloud platforms (e.g. AWS) deploying applications on cloud-based platforms and containerization (e.g., Docker, Kubernetes)
- Experience setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or OpenShift pipelines)
- Data engineering experience
- Production level Information retrieval and semantic data discovery development expereince ( e.g. Experience with Vector Databases, k-NN, and Semantic Search)
- Proficiency in at least two other languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages.
- Excellent communication, collaboration, and cross‑functional stakeholder expereince
- Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field
Ability to work remotely
Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.
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