Applied AI Engineer: Production AI & Agents

RTX Corporate; Farmington (CT); Hybrid; USD 108,000 - 205,000; Full time

Job summary

RTX is seeking an experienced Applied AI Engineer to design, build, evaluate, and deploy production-grade AI/ML solutions across RTX. The role emphasizes combining software engineering with hands-on AI/ML expertise, including GenAI, LLMs, and retrieval, to address complex business and engineering problems.

You will work with business teams, AI Architects, data teams, and platform engineers to move concepts from prototypes to secure, scalable production outcomes, ensuring reliability and

Qualifications

• University degree in Computer Science, AI, ML, Engineering or related STEM field, with 5+ years of experience.
• Hands-on experience deploying AI/ML solutions in production environments.
• Strong Python software development skills and production-grade code.
• Experience with Generative AI, LLMs, prompt engineering, retrieval, or tool use.
• Experience integrating software with APIs, databases and cloud services.
• Familiarity with software development practices including version control, testing, CI/CD, containers, and deployment.
• Experience applying AI in regulated environments and with security considerations.

Responsibilities

• Design, develop, and deploy production-grade AI/ML solutions across RTX."
• Build AI agents and intelligent workflows that interact with enterprise apps and data.
• Develop retrieval, embedding, vector databases, and grounding techniques.
• Integrate AI with enterprise APIs, data sources, and tools via MCP and standard interfaces.
• Evaluate models and approaches for quality, reliability, latency, cost, and security.
• Develop reusable AI components, APIs, integrations, and tools for end-to-end solutions.
• Diagnose AI system behavior via telemetry, traces, and failure analysis; improve robustness.
• Collaborate with AI Architecture, Platform Engineering, Data, Cybersecurity, and business teams.

Skills

Python programming

AI/ML production deployment

Generative AI / LLMs

APIs integration

CI/CD / MLOps

Containerization

Cloud services

software engineering

Education

Bachelor's or Advanced degree in CS/AI/Engineering

Tools

Docker

Kubernetes

LangGraph

IBM watsonx

AWS Bedrock

MCP

Job description

RTX is seeking an experienced Applied AI Engineer to design, build, evaluate, and deploy production-grade AI/ML solutions across RTX. The role emphasizes combining software engineering with hands-on AI/ML expertise, including GenAI, LLMs, and retrieval, to address complex business and engineering problems.

You will work with business teams, AI Architects, data teams, and platform engineers to move concepts from prototypes to secure, scalable production outcomes, ensuring reliability and