Software Engineer Intern (Hybrid)

Accuris

Posted 3 months ago

Internship

Denver, Colorado

Hybrid

Smart Summary

Responsibilities

The intern will identify a technical problem and lead the end-to-end development of a functional AI-powered application or tool. This includes system design, implementation, and delivering an executive-ready presentation of the results.

Qualifications

You are currently pursuing a Bachelor's degree as a Junior or Senior, or a Graduate degree in a related technical field. You have demonstrated experience building AI applications and are proficient in Python and ML libraries, with experience in LLM/GenAI platforms and cloud technologies.

Must Have Skills for ATS

Python

NumPy

Pandas

scikit-learn

PyTorch

TensorFlow

OpenAI API

Anthropic Claude

LangChain

RAG pipelines

prompt engineering

AWS

Azure

GCP

SQL

Job Description

Summer Intern - Software Engineer

Level: Undergraduate (Junior/Senior) or Graduate (MS/MBA)  

Location: Denver, CO – Hybrid (3 days on-site per week) 

Duration: June 1 – August 3–10, 2026 | 9–10 weeks 

Compensation: Paid – $20/hour 

ABOUT THE ROLE 

This is a hands-on software engineering internship designed to give you real ownership from day one. You'll partner closely with your manager to identify and define a meaningful technical problem, then take the lead in building a solution from the ground up. We're looking for someone who is comfortable working autonomously, embraces challenges, and can translate ideas into functional products. A core part of this role is leveraging AI-assisted development—using coding agents and modern AI workflows as integral tools throughout the development process. 

WHAT YOU'LL WORK ON 

You will collaborate with your manager to scope a high-impact project and own it end-to-end—from problem definition and system design through implementation and delivery. Your work will focus on building a functional application or tool using cutting-edge, AI-powered development practices. Along the way, you'll refine your own approach to working effectively with coding agents and document your learnings. 

WHAT YOU'LL DELIVER 

By the end of the internship, you will deliver: 

  • A working product that addresses a real-world problem 

  • An executive-ready presentation outlining your approach, methodology, and key insights for leadership 

REQUIRED QUALIFICATIONS 

  • Currently enrolled as a Junior or Senior undergraduate, or a Graduate (MS or MBA) student in Computer Science, Data Science, Electrical Engineering, Information Systems, or a related field. 

  • Demonstrated experience building AI applications — whether through coursework, personal projects, open-source contributions, or prior internships. 

  • Proficiency in Python with hands-on experience using ML libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow. 

  • Experience working with LLM/GenAI platforms (e.g., OpenAI API, Anthropic Claude, LangChain, RAG pipelines, or prompt engineering). 

  • Familiarity with cloud platforms (AWS, Azure, or GCP) and data tools including SQL and data pipeline or dashboard tooling. 

  • Strong written and verbal communication skills; able to present technical concepts clearly to both technical peers and non-technical stakeholders. 

  • Self-starter with the ability to move fast, iterate, and learn from ambiguous, real-world data problems. 

ABOUT ACCURIS 

Accuris provides engineers, procurement specialists, and product teams with trusted data and intelligence to design better products and build more resilient supply chains. Our Supply Chain Intelligence division delivers real-time component data, risk analytics, and predictive insights to help global organizations make faster, smarter sourcing decisions. This internship puts you at the frontier of AI applied to one of the world's most complex and consequential industries.

Accuris

We deliver mission-critical engineering intelligence empowering the world’s innovators to solve technology’s toughest challenges—faster, safer, and at greater scale—fueling the breakthroughs that shape our future.
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