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About This Role
At Crestron Electronics, Inc we build the technology that integrates technology.
We are proud to be the largest and most recognized brand in automation and control solutions, and the premier technology partner for fortune 500 businesses globally. Our products’ are integrated into new high\-tech commercial buildings’ to include some of the most exciting real estate throughout the world. Our clients include Google, Microsoft, Amazon, LinkedIn and many others. We are the leaders in the most exciting industry in the world!
Our automation and control solutions for homes and buildings allow our clients to control entire environments with the push of a button, integrating systems such as Audio Visual, Lighting, Shading, Security, Building Management Systems and HVAC to provide greater comfort, convenience and security.
OVERVIEW
Crestron Electronics is dedicated to attracting exceptional emerging professionals by investing in resources and creating opportunities for hands\-on learning, professional growth, and career development in a supportive work environment. As a result, we have an exciting opportunity for a Summer\-Fall Software Engineering Co\-op to join our XiO Cloud Engineering Team in Rockleigh, NJ or Boston, MA. This role has been designated for a 100% onsite work arrangement. Candidates must be commutable to Rockleigh, NJ or Boston. MA.
At Crestron Electronics, Diversity, Equity, and Inclusion drive innovation. Crestron's success hinges on continuing to build a workforce of unique individuals whose passion inspires us to create and revolutionize industry\-leading products and services. There will always be more to accomplish, and at Crestron, we believe the best way forward is together.
Crestron Interns and Co\-Ops can expect to be challenged with meaningful projects and tasks alongside professionals and subject matter experts in the field. Interns and Co\-Ops are assigned a dedicated mentor who will be responsible for their development and acclimation to the company. Crestron will also provide a variety of training and networking opportunities to participants in the program, seeking to present participants with a comprehensive experience that enhances technical and non\-technical skill sets and prepares students for their professional careers. Crestron is an equal opportunity employer proud of its commitment to Diversity \& Inclusion.
For the XiO Cloud Software Engineering Co\-op position, we are seeking a motivated student who is passionate about technology and eager to learn from experienced software engineers. XiO Cloud is Crestron's enterprise\-grade, cloud\-based web application that enables IT administrators and AV professionals to remotely monitor, manage, and configure IoT edge devices deployed across commercial environments worldwide.
This AI Engineering Co\-op provides the opportunity to contribute to AI\-powered capabilities within the XiO Cloud platform while gaining hands\-on experience with Python development, intelligent automation, large language models, and emerging agentic technologies. The ideal candidate is self\-motivated, creative, curious, and enjoys working in a collaborative engineering environment.
Through this Co\-op experience, students will gain exposure to software development best practices, AI application development, prompt evaluation and testing techniques, cloud application architecture, and collaboration with cross\-functional engineering teams.
RESPONSIBILITIES
With guidance from a dedicated mentor, perform the following tasks with increasing responsibility and independence throughout the Co\-op experience:
- Contribute to well\-defined projects supporting AI\-powered capabilities within the XiO Cloud platform.
- Assist in developing and evaluating AI\-powered workflows and intelligent application features using Python.
- Support the development and testing of LLM\-based agent workflows and automation solutions.
- Assist with integration of AI services and APIs into enterprise software applications.
- Participate in software testing, debugging, prompt evaluation, and quality assurance activities.
- Assist in developing and executing tests to support reliability and performance of AI\-enabled features.
- Participate in code reviews, Agile ceremonies, team discussions, and technical design conversations.
- Document technical findings, implementation details, evaluation results, and test outcomes to support team knowledge sharing.
QUALIFICATIONS
General Requirements
- Must be enrolled in an accredited college or university pursuing a Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related field.
- Must have unrestricted work authorization in the United States now and in the future.
Technical Skills
- Strong programming fundamentals and problem\-solving abilities.
- Understanding of software development fundamentals, data structures, and algorithms.
- Familiarity with version control using Git.
- Coursework, project experience, or familiarity with Python.
- Exposure to artificial intelligence, machine learning, generative AI, or natural language processing concepts through coursework, research, or personal projects.
- Basic understanding of APIs and software integration concepts.
- Interest in large language models (LLMs), prompt engineering, intelligent automation, or agent\-based systems.
- Exposure to LangChain, LangGraph, vector databases, or similar AI frameworks is a plus but not required.
Other Skills
- Strong analytical and critical\-thinking skills.
- Responsible, self\-motivated, and eager to learn.
- Curiosity and enthusiasm for emerging AI technologies.
- Effective communication and collaboration skills.
- Ability to manage assigned tasks and meet deadlines.
Positive attitude and willingness to learn new technologies and development practices.
At Crestron Electronics, Diversity, Equity, and Inclusion drive innovation. Crestron’s success hinges on continuing to build a workforce of unique individuals whose passion inspires us to create and revolutionize industry\-leading products and services. There will always be more to accomplish, and at Crestron, we believe the best way forward is together.
EOE/M/F/D/V
- No Solicitation\* Any agency submittal to any employee of Crestron Electronics, Inc by any method of communication will be deemed the sole property of Crestron Electronics Inc.
Role Details
About This Role
AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.
The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.
Across the 3,708 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Crestron Electronics, this role fits into their broader AI and engineering organization.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
What the Work Looks Like
A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
Skills Required
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.
Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
Compensation Benchmarks
AI Software Engineer roles pay a median of $219,250 based on 424 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $200,000.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Crestron Electronics AI Hiring
Crestron Electronics has 1 open AI role right now. They're hiring across AI Software Engineer. Based in Rockleigh, NJ, US.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 median).
Career Path
Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.
From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.
If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.
What to Expect in Interviews
Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.
When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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