Agentic AI Engineer

RTX Corporate, via RTX BBN Technologies, is hiring an Agentic AI Engineer to design, develop, and deploy agentic AI systems. This hybrid role is based in Arlington, VA and focuses on turning agentic AI research into working prototypes and production-ready capabilities, with experimental evaluation and technical publication support.

The position requires U.S. citizenship and the ability to obtain and maintain a U.S. government issued security clearance. The role centers on building Python frameworks, collaborating across research and engineering, and documenting results through high-quality technical writing.

Responsibilities

• Design, develop, and deploy agentic AI systems for autonomous reasoning, planning, and multi-step task execution.
• Build and optimize Python-based frameworks and tools to support scalable agent architectures.
• Integrate cutting-edge research into practical applications through rapid prototyping of new agentic capabilities.
• Collaborate with research scientists and engineers to design experiments, evaluate system performance, and produce technical documentation.
• Lead or contribute to peer-reviewed publications, white papers, and internal research briefs.
• Partner with product and engineering teams to translate research insights into real-world impact.

Requirements

• Python experience, including building production-quality systems.
• Experience developing agentic or autonomous AI systems.
• Experience with the latest research in agentic AI, LLM architectures, planning algorithms, or autonomous reasoning.
• Experience designing and running experimental evaluations for AI models or agents.
• Technical writing skills, including experience authoring research papers, preprints, or detailed technical reports.
• Ability to work collaboratively with cross-functional research and engineering teams.
• U.S. citizenship is required to be eligible for a security clearance; ability to obtain and maintain the clearance is required.

Technologies

• Python

What You Will Learn

• Advanced techniques in agentic AI, including tool-use, planning algorithms, multi-agent coordination, and memory architectures.
• How to translate emerging research into production-ready systems at scale.
• Best practices for evaluating autonomous AI behaviors while supporting safety, reliability, and alignment.
• Collaboration workflows across research, engineering, and product teams.
• Exposure to a broad range of generative AI, reinforcement learning, and orchestration frameworks.

Qualifications We Prefer

• Graduate degree in computer science, machine learning, artificial intelligence, or a related field.
• Experience with reinforcement learning, multi-agent systems, or cognitive architectures.
• Contributions to open-source AI frameworks or agentic toolkits.
• Familiarity with cloud-native development, distributed compute, or containerized workflows.
• A track record of published research in top AI/ML conferences or journals.

Benefits

• 100% paid tuition program
• Generous 401k company match
• Retirement Contribution
• Performance-based incentive plans
• Onsite gym and game room
• Paid parental leave
• Paid time off
• Employee discounts
• Medical, dental, vision, life insurance
• Short-term disability
• Long-term disability
• Flexible spending accounts
• Flexible work schedules
• Employee assistance program
• Employee Scholar Program
• Parental leave
• Holidays

Compensation: USD 95,500 - 181,700 per year.