AI Full Stack Engineer – Agentic Systems & Ontology
Lockheed Martin · Texas, United States
- On site
- Full-time
- $150,000 / year
- Texas, United States
Job highlights
- Develop advanced AI solutions with Python and JavaScript.
- Work with LLMs, knowledge graphs, and agentic systems.
- Architect and deploy enterprise-scaled cloud services.
- Collaborate with AI, software, and systems experts.
- Contribute to innovative, data-driven decision-making.
About the role
AI Full Stack Engineer – Agentic Systems & Ontology
Basic Qualifications
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).
Job Description
Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation. The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML Full Stack engineer or an accomplished full stack engineer looking to grow into an AI/ML engineer, to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized agentic development, and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will conduct experimental work for the exploration of cutting-edge technologies. We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change.
What You Will Be Doing
- Work closely with a team of experts in AI, software engineering, and systems development.
- Contribute to the development of innovative solutions that support the organization's goals and objectives.
- Develop solutions that inform data-driven decision making and help the organization stay ahead of the curve.
- Architect, deploy, and support enterprise-scaled services hosted on Cloud and on-premise technologies.
- Provide opportunities 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.
- Experience with agent development using various agentic tools and standard agentic frameworks (CrewAI, Google ADK, LangChain, LangGraph, Pydantic AI, AWS Strands).
- Experience 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 experience (e.g., Experience with Vector Databases, k-NN, and Semantic Search).
- Front-end and back-end development experience in at least two other programming 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.
- Experience with KG adjacent tools and technologies (e.g., RDF, OWL, SPAQL, and Ontop).
- Excellent communication, collaboration, and cross-functional stakeholder experience.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field.
Other Important Information
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
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.
Key skills/competency
- AI Full Stack Engineer
- Python
- JavaScript Frameworks
- Knowledge Graphs
- LLMs/Generative AI
- Cloud Infrastructure
- API Design
- Agentic Systems
- Ontology
- GitOps
Skills & topics
- AI Full Stack Engineer
- Python
- JavaScript
- React
- Angular
- LLM
- Generative AI
- Cloud Infrastructure
- API Design
- Knowledge Graphs
- Ontology
- Agentic Systems
- GitOps
- Software Engineering
- Remote
How to get hired
- Tailor your resume: Highlight Python, JavaScript frameworks, AI/ML, LLMs, knowledge graphs, and cloud infrastructure experience.
- Showcase relevant projects: Detail experience with agentic systems, ontologies, and API development in your application.
- Emphasize collaboration: Mention your teamwork, mentoring junior engineers, and cross-functional stakeholder experience.
- Prepare for technical interviews: Be ready to discuss your experience with Python, AI/ML concepts, and full-stack development.
- Understand the domain: Research Lockheed Martin's AI strategy and digital transformation initiatives.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific Python skills are essential for the AI Full Stack Engineer role at Lockheed Martin?
- For the AI Full Stack Engineer position at Lockheed Martin, advanced Python proficiency is crucial. This includes the ability to mentor others and conduct code reviews, indicating a deep understanding of Python best practices and advanced concepts.
- What programming languages beyond Python are required for this AI Full Stack Engineer job?
- Beyond Python, this AI Full Stack Engineer role requires proficiency in at least two other programming languages. Examples provided include Java, C++, and Go, alongside modern JavaScript frameworks like React.js and Angular for front-end development.
- Does Lockheed Martin require US Citizenship for the AI Full Stack Engineer position?
- Yes, US Citizenship is a mandatory requirement for this AI Full Stack Engineer position due to program requirements and necessary system access.
- What is the educational background expected for an AI Full Stack Engineer at Lockheed Martin?
- Lockheed Martin typically requires a Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML, or a closely related field for this AI Full Stack Engineer role. Equivalent education and experience may also be considered.
- What experience is needed with knowledge graphs for this AI Full Stack Engineer role?
- The AI Full Stack Engineer role requires experience in designing and validating knowledge graphs based on ontologies, and integrating this graph data into applications. This involves understanding the full lifecycle of an AI-powered application that utilizes such structures.
- What cloud infrastructure and GitOps experience is beneficial for the AI Full Stack Engineer position?
- For the AI Full Stack Engineer role, experience with Cloud Infrastructure and GitOps is important. This includes leveraging cloud platforms for deploying and managing applications, ensuring efficient and automated workflows.
- What is the work arrangement for the AI Full Stack Engineer role at Lockheed Martin?
- The AI Full Stack Engineer position at Lockheed Martin offers a full-time remote telework arrangement. Employees will work remotely but may be required to travel to a Lockheed Martin office for periodic meetings.
- What are some desired skills for the AI Full Stack Engineer role focusing on agentic systems?