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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence (AI) Engineer - **Company:** CareerCircle - **Location:** Odenton, MD, United States - **Experience:** Expert - **Salary:** $87,100.0 - $157,450.0 - **Contract:** Permanent contract - **Skills:** 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, 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 - **Published:** July 26, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/md/linthicum-heights/07ed6e41-dcc5-4d9c-86ad-a15f9f57601a ## About the Role * 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. ## 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 ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)