Principal AI/ML Software Developer (Onsite) at Greenfix Property Care

, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

203000.0

Posted On

15 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLMs, AI Frameworks, Prompt Engineering, DevOps Tools, Containerization, Orchestration, CI/CD Pipelines, UI Design, Distributed Systems, Process Management, Workflow Orchestration, Agent Communication, Multi-Agent Consensus, Open-Source Contributions

Industry

Household Services

Description

Date Posted: 2025-10-29 Country: United States of America Location: TX232: Richardson 1727 CityLine 1727 East CityLine Drive Building C27, Richardson, TX, 75082 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance: None/Not Required At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon is hiring a Principal AI/ML Software Developer to support our teams in Richardson TX, Aurora CO, or State College, PA. You will have the opportunity to directly impact the world around you and contribute to classified programs and technologies you are passionate about. What You Will Do Design and build a robust, scalable agentic orchestrator to manage and coordinate multiple AI agents. Develop a suite of SDLC agents, each specialized for tasks like requirements analysis, code generation, debugging, and automated testing. Craft and refine sophisticated prompts to guide agent behavior and ensure high-quality, reliable outputs from Large Language Models (LLMs). Implement Agent-to-Agent (A2A) communication protocols, enabling seamless collaboration and information sharing between agents. Develop and integrate Multi-agent Consensus Protocols (MCP) to help agents agree on the best course of action, resolve conflicts, and validate work. Implement API-driven GenAI tools to enhance the CICD Pipeline. Collaborate with product and engineering teams to integrate 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, with experience in Python. Experience with LLMs and AI frameworks (e.g., poolside, LangChain). Experience with prompt engineering, including techniques for complex reasoning, planning, and tool use. Qualifications We Prefer A degree in Computer Science and/or Computer Engineering. Experience with platform development and DevOps tools, including containerization (Docker) and orchestration (Kubernetes). Experience with the Atlassian suite (JIRA, Confluence, etc.) Familiarity with CI/CD pipelines and deployment automation. Experience with UI design. Knowledge of distributed systems, process management, and workflow orchestration. A conceptual understanding of advanced agentic concepts like A2A communication and multi-agent consensus. Contributions to open-source AI or agent-related projects. What We Offer Whether you're just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care. Relocation Eligibility - Relocation assistance is available. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: North Texas: Aurora, CO: Aurora, CO: State College, PA: ,-pa-location We Are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 101,000 USD - 203,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Responsibilities

Design and build a robust, scalable agentic orchestrator to manage and coordinate multiple AI agents. Develop a suite of SDLC agents specialized for tasks like requirements analysis, code generation, debugging, and automated testing.