AI Full Stack Engineer Sr
Job
Lockheed Martin
Bethesda, MD (In Person)
Full-Time
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Job Description
Description:
- Join Lockheed Martin's digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission\-Driven Transformation\.
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\. \#EBDTBasic Qualifications:
- 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
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
Clearance Level:
- None
- Other Important Information You Should Know
Expression of Interest:
- 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\.Work Schedules:
- Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees\. Schedules range from standard 40 hours over a five day work week while others may be condensed\. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits\.
- Schedule for this
Position:
- 4x10 hour day, 3 days off per week
Pay Rate:
- The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $125,100 \- $216,890\.
- Benefits offered:
- Medical, Dental, Vision, Life Insurance, Short\-Term Disability, Long\-Term Disability, 401\(k\) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays\. This position is incentive plan eligible\.
Pay Rate:
- The annual base salary range for this position in California, Massachusetts, and New York \(excluding most major metropolitan areas\), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $108,800 \- $191,820\.
- Benefits offered:
- Medical, Dental, Vision, Life Insurance, Short\-Term Disability, Long\-Term Disability, 401\(k\) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays\.
- Lockheed Martin is an equal opportunity employer\. Qualified candidates will be considered without regard to legally protected characteristics\.
- The application window will close in 90 days; applicants are encouraged to apply within 5 \- 30 days of the requisition posting date in order to receive optimal consideration\.
- At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges\.
Experience Level:
- Experienced Professional
Business Unit:
ENTERPRISE BUSINESS SERVICES
Relocation Available:
- No •
Career Area:
- Artificial Intelligence
Type:
- Full\-Time
Shift:
- First
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