Hybrid Applied AI Engineer - Production ML & Agents

RTX; McKinney (TX); Hybrid; USD 150,000 - 190,000; Full time

Job summary

RTX seeks an experienced Applied AI Engineer to design, build, evaluate, and deploy production-grade AI/ML solutions across RTX. You will work with AI Architects, Platform Engineers, data teams, and business units to take AI from concept to production, applying Generative AI, retrieval, and agentic AI to real-world problems.

The role emphasizes hands-on software engineering, production-grade delivery, and collaboration across enterprise domains, with hybrid work arrangements and opportunities to

Qualifications

• University degree and 8+ years exp., or advanced degree with 5+ years.
• 3+ years hands-on AI/ML production experience.
• Software engineering with Python; production-grade code.
• Experience building with Generative AI/LLMs including prompts, retrieval, or tool use.
• Experience API/databases/cloud/services integration.
• Experience CI/CD, testing, containerization, and deployment.
• Machine learning fundamentals and model evaluation.

Responsibilities

• Design, develop, and deploy production-grade AI and ML solutions using AI/ML techniques.
• Build AI agents and intelligent workflows that reason, use tools, interact with enterprise apps, and execute multi-step processes.
• Develop retrieval and context-engineering solutions using embeddings, vector databases, and enterprise data.
• Integrate AI solutions with enterprise applications, APIs, data sources, and tools via standard interfaces and MCP.
• Evaluate and select models based on quality, reliability, latency, cost, security, and scalability.
• Develop production-quality software, APIs, integrations, tools, and reusable AI components.
• Diagnose and improve AI system behavior using telemetry, traces, and failure analysis.
• Partner with AI Architecture, Platform Engineering, Data, Evaluation, Cybersecurity, and business teams.

Skills

Generative AI

Large language models

Prompt engineering

API integration

CI/CD

Containerization

Production deployment

Python programming

Education

Bachelor's or higher in CS/AI/ML/Engineering

Advanced degree (MS/PhD) preferred

Tools

Python

LangGraph

CrewAI

IBM watsonx

AWS Bedrock

Microsoft AI platforms

n8n

Job description

RTX seeks an experienced Applied AI Engineer to design, build, evaluate, and deploy production-grade AI/ML solutions across RTX. You will work with AI Architects, Platform Engineers, data teams, and business units to take AI from concept to production, applying Generative AI, retrieval, and agentic AI to real-world problems.

The role emphasizes hands-on software engineering, production-grade delivery, and collaboration across enterprise domains, with hybrid work arrangements and opportunities to