Principal AI ML Software Developer (Onsite)
AI summary of the role
Lead the development of AI-powered SDLC agents at a major aerospace and defense company, building and orchestrating agents for coding, testing, and CI/CD.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Develop a suite of SDLC agents for requirements analysis, code generation, debugging, and automated testing.
- Design and build a robust, scalable agentic orchestrator to manage and coordinate multiple AI agents.
- Implement Zero Trust Security principles across the agentic ecosystem.
- Develop and integrate Model Context Protocol (MCP) into SDLC agents.
What you’ll bring
- Typically requires a degree in STEM and a minimum of 8 years of Software Engineering experience.
- Experience as a Software Developer, specifically with Python.
- Experience with LLMs and popular AI frameworks (e.g., poolside, LangChain).
- Experience in prompt engineering for complex reasoning, planning, and tool use.
Technologies
Python · LLMs · LangChain · poolside · Docker · Kubernetes · JIRA · Confluence · CI/CD · Zero Trust Security
About RTX
Builds aerospace systems, jet engines, and defense technologies through Collins, Pratt & Whitney, and Raytheon for commercial aviation, governments, militaries, and allies.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. This role leads the development of AI‑powered software engineering tools by building and orchestrating advanced SDLC agents that improve coding, testing, and CI/CD workflows. It requires strong Python skills and hands‑on experience with LLMs, prompt engineering, secure system design, and modern DevOps technologies to deliver scalable, secure AI solutions. What You Will Do Develop a suite of SDLC agents, each specialized for tasks like requirements
More from the job description
Date Posted: 2026-04-16 Country: United States of America Location: US-TX-RICHARDSON-C17 ~ 1717 Cityline Dr ~ CITYLINE C17 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required after day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. This role leads the development of AI‑powered software engi [... source excerpt omitted ...] es strong Python skills and hands‑on experience with LLMs, prompt engineering, secure system design, and modern DevOps technologies to deliver scalable, secure AI solutions. What You Will Do Develop a suite of SDLC agents, each specialized for tasks like requirements analysis, code generation, debugging, and automated testing. Implement Zero Trust Security principles across the agentic ecosystem. Design and build a robust, scalable agentic orchestrator to manage and coordinate multiple AI agents. Develop and integrate Model Context Protocol (MCP) into SDLC agents, allowing agents to use tools. Craft and refine sophisticated prompts to guide agent behavior and ensure high-qu [... source excerpt omitted ...] grate the agentic system into our existing development workflows. Write clean, efficient, and well-documented code while following best practices for building AI-driven systems. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM), and a minimum of 8 years of Software Engineering experience. Experience as a Software Developer, specifically with Python. Experience with LLMs and popular AI frameworks (e.g., poolside, LangChain). Experience in prompt engineering, including techniques for complex reasoning, planning, and tool use. Experience working on a generative AI Agent and/or open-source related project. The abilit
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