Bachelor's degree in Computer Science, Software Engineering, Data Science, or 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 and tool use/function calling.
Experience applying SysML or comparable systems-engineering modeling methods.
Experience leading technical work, including code reviews and architectural decisions with minimal oversight.
Experience with APIs, SQL, and cloud or on-premises deployment, preferably Azure.
Strong communication skills with both technical colleagues and business users.
Responsibilities
Own technical architecture and implementation decisions for AI applications.
Provide technical leadership to junior developers and interns, including code reviews and mentoring.
Establish engineering standards for code review, testing, and documentation.
Set up and manage hosting, deployment pipelines, and data integrations on Azure.
Build, test, deploy, and maintain LLM-powered applications and AI agents.
Automate proposal and project artifacts, including requirements traceability matrices.
Integrate AI applications with enterprise tools, internal systems, and APIs.
Benefits
Collaborative and passionate team environment.
Opportunities for professional growth and mentorship.
Exposure to innovative technologies and projects.
Engagement with a variety of internal business applications.
Full Job Description
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.
Your tasks
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.
Exciting insights into Rohde & Schwarz
Our colleagues provide insider information about:
Daily adventures and challenges
Our passionate team
The technologies behind the innovative projects and solutions
Your qualifications
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
Interested?
We are looking forward to receiving your application!
The total compensation for this position is $104K-$139K. Total compensation includes base salary, variable pay (when applicable) plus benefits. The range is determined by the position, geographic location and level. Individual pay within the range is determined by several factors including location, education or training, relevant work history, sales incentive structure and job-related skills.
