Hybrid AI/ML Software Engineer (Go/Python/React)

Hewlett Packard Enterprise Development LP

Northern (KY)

Hybrid

USD 133,000 - 253,000

Full time

6 days ago
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Benefits offered by this job

Hybrid work model
Health benefits

Job summary

Hewlett Packard Enterprise is seeking an AI & ML Software Engineer in Fort Collins, Colorado. This hybrid role requires working from an HPE office on average two days per week and focuses on building AI-powered software for large-scale computing systems.

Responsibilities include designing AI capabilities, deploying production-grade services, and collaborating across engineering, product, and customer teams to drive resilient, observable AI-driven operations.

Qualifications

  • Strong software engineering fundamentals with production systems experience.
  • Experience with Go, Python, React or quick adaptation to similar tech.
  • Experience building large-scale distributed systems or observability platforms.
  • Experience applying AI/ML/GenAI/LLMs to real-world products.
  • Excellent problem-solving and collaboration skills.

Responsibilities

  • Design and build AI/ML capabilities for anomaly detection and forecasting.
  • Develop production-quality software and services using Go, Python, React.
  • Integrate AI solutions including ML models and LLM-powered workflows.
  • Work across data engineering, model development, deployment, and monitoring lifecycles.
  • Collaborate with engineers, architects, PMs, and customers to solve scale challenges.

Skills

Go
Python
React
Distributed systems
AI/ML
Problem solving
Communication

Tools

Go
Python
React

Job description

Hewlett Packard Enterprise is seeking an AI & ML Software Engineer in Fort Collins, Colorado. This hybrid role requires working from an HPE office on average two days per week and focuses on building AI-powered software for large-scale computing systems.

Responsibilities include designing AI capabilities, deploying production-grade services, and collaborating across engineering, product, and customer teams to drive resilient, observable AI-driven operations.

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