Artificial Intelligence (AI) Engineer

CareerCircle
Odenton, MD, United States
16 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$87,100.0 - $157,450.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Systems Engineering Confluence JIRA Audit Trail Automation of Tests Cloud Engineering Profiling
+29 more
Signals Intelligence Databases Continuous Integration Data Cleansing Information Engineering Elasticsearch JavaScript Libraries Python (Programming Language) Key Management Metadata Meta-Data Management Object-Oriented Software Development Scrum Methodology Rapid Prototyping Process Software Engineering Rust (Programming Language) Computer Network Operations ReactJS Large Language Models Jupyter AWS ECS Gitlab Git Pyspark Kubernetes HuggingFace Front End Software Development Software Version Control Docker

Job description

Auditing Equities Metadata Pipelines Operations Scalability Market Data Claude Code Test Automation Vector Database Ancient History Data Engineering Agile Methodology Data Preprocessing Systems Engineering Technical Leadership Performance Profiling Research And Development Internet Of Things (IoT) Rust (Programming Language) Computer Network Operations Git (Version Control System) Python (Programming Language) Retrieval Augmented Generation Top Secret-Sensitive Compartmented Information (TS/SCI Clearance), * Mission Focus: Collaborate closely with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines. Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption. Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management.

  • Technical Proficiency: Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems. Support security assessments and authority to operate (ATO) processes., Gitlab Jupyter PySpark Equities Operations Management Governance Kubernetes Market Data AWS Amplify AWS Bedrock Data Modeling Elasticsearch AWS SageMaker Version Control Ancient History Agile Methodology Docker (Software) Workflow Management Atlassian Confluence Cloud-Native Computing Artificial Intelligence Research And Development Internet Of Things (IoT) Java (Programming Language) Computer Network Operations Git (Version Control System) Scrum (Software Development) Hugging Face (NLP Framework) React.js (Javascript Library) Python (Programming Language) Front End (Software Engineering) Object-Oriented Programming (OOP) Amazon Elastic Kubernetes Service Application Programming Interface (API) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0 Senior Artificial Intelligence (AI) Engineer (SWE-3) Leidos

Odenton, MD*On-Site

JIRA Gitlab Jupyter PySpark Equities Operations Management Governance Kubernetes Market Data AWS Amplify AWS Bedrock Data Modeling Elasticsearch AWS SageMaker Version Control Ancient History Agile Methodology Docker (Software) Workflow Management Atlassian Confluence Cloud-Native Computing Artificial Intelligence Research And Development Internet Of Things (IoT) Java (Programming Language) Computer Network Operations Git (Version Control System) Scrum (Software Development) Hugging Face (NLP Framework) React.js (Javascript Library) Python (Programming Language) Front End (Software Engineering) Object-Oriented Programming (OOP) Amazon Elastic Kubernetes Service Application Programming Interface (API) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance), Gitlab Jupyter PySpark Equities Operations Management Governance Purchasing Kubernetes Upskilling Market Data AWS Amplify AWS Bedrock Cryptography Data Modeling Elasticsearch AWS SageMaker Key Management Version Control Ancient History Agile Methodology Docker (Software) Rapid Prototyping Analytical Method Workflow Management Technology Research Time Off Management Security Engineering Software Engineering Atlassian Confluence Signals Intelligence Prototype Development Cloud-Native Computing Artificial Intelligence Java (Programming Language) Computer Network Operations Git (Version Control System) Scrum (Software Development) Hugging Face (NLP Framework) React.js (Javascript Library) Python (Programming Language) Front End (Software Engineering) Object-Oriented Programming (OOP) Amazon Elastic Kubernetes Service Application Programming Interface (API) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

Requirements

  • Qualifications: Bachelor’s degree plus five (5) years of relevant experience or equivalent. Proficiency in Python, LLM integration, and data engineering. Experience with static analyzers, RAG framework, and relational and vector databases. Familiarization with Agile, Git, Jira, and Confluence.
  • Security Clearance: Active TS/SCI with Polygraph required.
  • Desirable Skills: Familiarization with RUST, Claude Code, Codex, and CI/CD.

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 - and moving faster than anyone else dares.

Benefits & conditions

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

About the company

Kudu Dynamics is Leidos Owned Company, forged out of a decade of experience in computer network operations and staffed with talent who have built, overseen, and enhanced capabilities throughout the entire USG arsenal. Our team of hackers and engineers have experience spanning centuries of research, development, and operations missions - across desktop, mobile, IoT, and embedded platforms. Kudu Dynamics, a Leidos company is uniquely qualified to anticipate tomorrow’s threats and build the next generation of capabilities., Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .

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