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# Senior AI Applications Engineer - Columbia, MD

- **Company:** Rohde & Schwarz
- **Location:** Columbia, MD, United States
- **Experience:** Expert
- **Salary:** $104,000 - $139,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Business Software, Cloud Computing, Code Review, Continuous Integration, Data Integration, Information Extraction, Python (Programming Language), Requirements Traceability, Software Engineering, SQL Databases, Systems Modeling Language, Systems Architecture, Cisco Discovery Protocol, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Agentic-AI, Build Management, Information Technology, Enterprise Integration, Invoking Functions, Software Coding, Model Context Protocol, Intelligent Document Processing, Data Pipelines
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cf2d9f0bc5a0ccf6

## About the Role

* Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience.
 * 5+ years of experience building and shipping production software in Python.
 * Hands-on experience with LLM application development, including RAG, tool use/function calling, agents, and output evaluation.
 * Experience applying SysML or comparable systems-engineering modeling methods to document requirements, system architecture, interfaces, behavior, or traceability
 * Experience leading technical work, including code reviews, mentoring, and making architectural decisions with minimal oversight.
 * Experience with APIs, SQL, enterprise integration, and cloud or on-premises deployment, including CI/CD pipelines; Azure experience is preferred.
 * Ability to work effectively with evolving requirements and establish engineering practices in a developing environment.
 * Strong communication skills with both technical colleagues and business users.
 * A team-oriented approach, with a willingness to share knowledge, support colleagues, give and receive constructive feedback, and contribute to shared outcomes.
 * In order to be considered, candidates must be a U.S. Person capable of obtaining a Public Trust clearance. Preferred Experience:
 * Self-hosted or local language models
 * Agent frameworks or Model Context Protocol (MCP)
 * OCR, document AI, or intelligent document processing
 * Government proposals, CDRLs, or DIDs
 * Startup, early-stage, or newly established technical initiatives

## Description

Recently named by Newsweek as one of the Best American Mid-Sized Workplaces in 2026, Rohde & Schwarz is seeking a hands-on Senior AI Applications Developer to build and deploy AI tools that improve internal business operations. You will take practical use cases from prototype to production and serve as the technical lead for a newly established AI team. This role focuses on internal business applications and is ideal for someone who enjoys writing code, solving ambiguous problems, and owning technical direction. The AI Lead sets priorities and business outcomes; you own how solutions are designed, built, and run. Apply to help build practical AI solutions that make internal teams more efficient, informed, and effective!, * Own technical architecture and implementation decisions for the team's AI applications, documenting key decisions and tradeoffs.

 * Provide technical leadership to junior developers and interns, including assigning and scoping technical work, reviewing code, and guiding their growth.
 * Establish engineering standards for code review, testing, CI/CD, security, and documentation.
 * Set up and manage hosting, deployment pipelines, and data integrations on Azure and internal platforms.
 * Build, test, deploy, and maintain LLM-powered applications and AI agents.
 * Develop tools to assess, grade, and triage RFIs, solicitations, and related requests.
 * Automate proposal and project artifacts, including requirements traceability matrices, CDRL deliverables, presentations, and related documentation.
 * Build document-processing pipelines using OCR, structured extraction, retrieval, and other AI techniques.
 * Integrate AI applications with enterprise tools, internal systems, APIs, and data sources.
 * Move prototypes into production through testing, monitoring, error handling, and performance improvements, and prepare documentation and handover so solutions can be supported long term.
 * Partner with the AI Lead, end users, and technical teams to assess feasibility, refine requirements, and advise on technical risks and tradeoffs.