Hybrid AI Engineer: Build Production-Grade AI Systems

RTX; Tucson (AZ); Hybrid; USD 120,000 - 200,000; Full time

Job summary

RTX Enterprise Services seeks an Applied AI Engineer to design, build, evaluate, and deploy production-grade AI/ML solutions across RTX.

You will blend strong software engineering with hands-on AI/ML, working with Generative AI, LLMs, retrieval, and agentic AI to solve complex business problems.

Collaborate with AI Architects, Platform Engineers, data and product teams to bring concepts to production with measurable business impact.

Qualifications

• University degree in CS, AI, ML, engineering, or related STEM with 8+ years experience.

Responsibilities

• Design, develop, and deploy production-grade AI and ML solutions.
• Build AI agents and workflows that reason, use tools, interact with enterprise apps, and execute complex multi-step processes with human oversight.
• Develop retrieval and context-engineering solutions using embeddings, vector databases, knowledge sources, prompts, memory, and grounding techniques.
• Integrate AI with enterprise applications, APIs, data sources, and tools using standard interfaces and MCP.
• Evaluate models for quality, reliability, latency, cost, security, and scalability; develop evaluation cases to measure performance.
• Develop production-quality software, APIs, integrations, tools, and reusable AI components for end-to-end solutions.

Skills

Python

AI/ML expertise

Generative AI

LLMs

Retrieval augmented generation

API integration

Software engineering

CI/CD

Testing & reliability

Education

Bachelor’s degree in CS/AI/Engineering

Advanced degree (MS/PhD) in related field

Tools

LangGraph

CrewAI

IBM watsonx

AWS Bedrock

Microsoft AI platforms

n8n

Job description

RTX Enterprise Services seeks an Applied AI Engineer to design, build, evaluate, and deploy production-grade AI/ML solutions across RTX.

You will blend strong software engineering with hands-on AI/ML, working with Generative AI, LLMs, retrieval, and agentic AI to solve complex business problems.

Collaborate with AI Architects, Platform Engineers, data and product teams to bring concepts to production with measurable business impact.