Senior Full-Stack AI Platform Engineer (Hybrid)

RTX; East Hartford (CT); Hybrid; USD 132,400 - 251,600; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

401(k) match

Flexible schedules

Employee Scholar Program

Parental leave

Paid time off

Job summary

RTX is seeking an experienced AI Accelerator to mature early-stage AI prototypes and deploy secure, scalable applications on RTX’s AI Factory platform. You will build enterprise-ready solutions based on models from the R&D teams and ensure alignment with cybersecurity and regulatory requirements.

The role requires a STEM degree with 10+ years of relevant experience, strong Python and C++ skills, and experience with ML frameworks and CI/CD pipelines.

Qualifications

• Degree in Science, Technology, Engineering or Mathematics and 10+ years of relevant experience.
• Proficiency in Python and C++, plus modern back-end frameworks.
• Experience with CI/CD pipelines and DevOps automation tools.
• Familiarity with LLMs, RAG workflows and AI frameworks (PyTorch, TensorFlow).
• Experience integrating AI/ML models into software applications.

Responsibilities

• Convert AI prototypes into production-grade applications, microservices and pipelines.
• Build and deploy cloud-based services on AWS and Azure.
• Integrate AI/ML models into enterprise applications.
• Implement CI/CD, automated testing, observability and secure deployment workflows.
• Collaborate with R&D teams to refine prototype functionality for enterprise use.

Skills

Python

C++

Backend frameworks

CI/CD / DevOps

LLMs / AI frameworks

Education

STEM degree

Tools

Docker

Kubernetes

GitHub Actions

Jenkins

AWS/Azure

Job description

RTX is seeking an experienced AI Accelerator to mature early-stage AI prototypes and deploy secure, scalable applications on RTX’s AI Factory platform. You will build enterprise-ready solutions based on models from the R&D teams and ensure alignment with cybersecurity and regulatory requirements.

The role requires a STEM degree with 10+ years of relevant experience, strong Python and C++ skills, and experience with ML frameworks and CI/CD pipelines.