AI Full Stack Engineer – Agentic Systems & Ontology
Indexed description
- Proven full-stack software development experience with advanced Python (proficient enough to mentor others and review code), proficiency in at least two other programming languages (e.g., Java, C++, Go), and modern JavaScript frameworks (React.js, Angular).
- Ability to design and validate knowledge graphs based on ontologies and integrate graph data into applications, with experience handling the entire lifecycle of an AI-powered application.
- Experience with LLMs/Generative AI and Cloud Infrastructure with GitOps.
- Demonstrated experience with API design and specifications (REST/OpenAPI, JSON/JSON-Schema), including building and managing APIs and back-end systems.
- US Citizenship is required due to program requirements and system access, plus a 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 ready infrastructure, 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
- Practical experience with production level LLM Tool Calling workflows
- Design and delivery experience in API Development & Integration (REST, GraphQL, etc)
- Expertise and strategic use of GenAI Coding Assistants
- Expereince with agent development using various agentic tools and standard agentic frameworks (CrewAI, Google ADK, LangChain, LangGraph, Pydantic AI, AWS Strands.
- Expereince with autonomous workflows, Agentic devOps, and the Agentic development Lifecycle
- Hands-on experience with AWS services, Amazon RDS PostgreSQL, Amazon Bedrock, EC2 instances, and S3 storage, for building, deploying and scaling applications)
- Experience setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or Kubernetes/OpenShift pipelines) with background deploying/using Terraform/Ansible
- Data engineering experience
- Production level Information retrieval and semantic data discovery development expereince ( e.g. Experience with Vector Databases, k-NN, and Semantic Search)
- Front-end and back-end development experience in at least two other programing languages (e.g., Java, C++, Go, etc) and modern JavaScript frameworks (React.js, Angular.
- Experienced in designing and validating knowledge graphs (KG) based on ontologies and the integration of graph data into applications. Expereince with KG adjacent tools and technologies (e.g. RDF, OWL, SPAQL, and Ontop).
- Excellent communication, collaboration, and cross‑functional stakeholder expereince
- Bachelor's or 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.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search