Production AI Engineer: GenAI, Retrieval, & Enterprise Apps

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

Benefits offered by this job

Healthcare, wellness, retirement

Parental leave

Flexible work schedules

401(k) match

Paid time off

Annual incentive programs

Job summary

RTX Corporate is seeking an Applied AI Engineer to design, build, evaluate, and deploy production-grade AI, ML, and Generative AI solutions. This hybrid role integrates AI capabilities into enterprise applications within secure, scalable production environments.

The role focuses on retrieval-augmented generation, agentic AI, and robust evaluation across the lifecycle, collaborating with architecture, platform, data, evaluation, and cybersecurity teams.

Qualifications

• University degree in CS/AI/ML/Engineering or related STEM with 8+ years of experience OR Advanced degree with 5+ years of experience.
• At least 3 years hands-on experience developing, integrating, or deploying AI/ML solutions into production environments.
• Software development with Python and production-quality code.
• Experience building with Generative AI and LLMs including prompts, context engineering, and tool use.

Responsibilities

• Design, develop, and deploy production-grade AI/ML solutions using diverse techniques and software engineering.
• Build AI agents and workflows that reason, use tools, and interact with enterprise applications and data.
• Develop retrieval and context-engineering solutions using enterprise data, embeddings, and memory.
• Integrate AI solutions with enterprise apps, APIs, data sources, and MCP.
• Evaluate models and approaches for quality, reliability, latency, cost, security, and scalability.
• Deliver end-to-end AI solutions with reusable components and APIs.
• Diagnose AI system behavior using evaluations, telemetry, and user feedback.

Skills

Python

Generative AI & LLMs

Retrieval-augmented generation

Agentic AI

Embeddings & vector databases

Knowledge graphs

MCP (Model Context Protocol)

LangGraph

CrewAI

IBM watsonx

AWS Bedrock

Microsoft AI platforms

n8n

Docker

Kubernetes

CI/CD

Education

University degree in CS/AI/ML/Engineering or related STEM

Advanced degree in related field

Tools

Docker

Kubernetes

MCP

LangGraph

CrewAI

IBM watsonx

AWS Bedrock

Microsoft AI platforms

n8n

Job description

RTX Corporate is seeking an Applied AI Engineer to design, build, evaluate, and deploy production-grade AI, ML, and Generative AI solutions. This hybrid role integrates AI capabilities into enterprise applications within secure, scalable production environments.

The role focuses on retrieval-augmented generation, agentic AI, and robust evaluation across the lifecycle, collaborating with architecture, platform, data, evaluation, and cybersecurity teams.