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About This Role
About Our Company:
At Patch My PC, we exist to improve lives. What started as a free tool to keep apps updated has grown into a trusted enterprise solution that helps IT and Security teams automate, manage, deploy, and report on third\-party updates in Microsoft ConfigMgr, Intune, and WSUS. Our fully remote crew of 150 GIF\-loving humans supports over 10,000 customers and more than 30 million devices. We make patching easier, boost security, and give IT teams their time back.
Our core values guide how we work, how we treat each other, and how we grow. They keep us focused on what matters most. We're here to improve the lives of our customers, our team members, and our communities.
About this Role:
Are you seeking a dynamic environment where you get to dive deep into a range of projects bootstrapping AI development?
We’re seeking a passionate and curious Software Engineer, AI to join our growing emerging technology team. This position combines a passion for Endpoint, Security and Systems management technologies with hands on experience and knowledge of AI.
This role is ideal for someone who loves to build tools and add\-on solutions to Windows and commercial management systems. This role is hands\-on and requires incubating ideas, building prototypes and working across engineering teams to integrate into production products. You will use your AI technology experience to create compelling and efficient customer scenarios. You should be comfortable dealing with ambiguity, making hypotheses and testing these with customers. A big factor for success will be collaboration. You will be able to build rapport with customers and extract clear business requirements. Within the team you will be an AI evangelist, engaging with engineering teams to promote ideas, generate energy and refine concepts to achieve realization in product.
A further aspect of this role is the enterprise systems management community. You will be familiar and have engaged in these forums. Comfortable presenting webinars and sessions, and contributing content in the form of blogs.
A differentiating factor to this role is foundational experience in AI and a keen interest in agentic frameworks, autonomous systems, and intelligent workflows. Keeping up with the latest trends in AI and being able to educate and equip developers on AI solutions. You will push the boundaries for what Patch My PC can achieve with AI, focusing on value and productivity for our customers.
### Responsibilities:
- Design and develop generative AI solutions across a rapidly expanding product portfolio
- Develop and deploy AI agents for internal tools and customer\-facing applications
- Collaborate with cross\-functional teams to integrate AI tech into existing systems
- Educate, inform and support product developers for AI integration and maintenance
- Identify optimum data processing and structure for accurate AI analysis
- Translate requirements into clear engineering deliverables, track progress, and communicate status through stand\-ups and stakeholder updates
- Conduct testing, debugging, and performance optimization of AI agent workflows
- Stay up\-to\-date with the latest research and trends in commercial AI systems
### Required Skills:
- Bachelor’s degree in Computer Science, Artificial Intelligence, or related field (or equivalent experience)
- 5\+ years of professional software development with C\# and the .NET ecosystem
- Familiarity with an AI agent framework (e.g., LangChain, CrewAI, AutoGPT, MetaGPT)
- Good understanding of Large LLMs (e.g., GPT, Claude, Mistral) and prompt engineering
- Experience with AI libraries (e.g., Transformers, OpenAI API, Hugging Face)
- Experience with GenAI data pre\-processing and embedding
- Experience with REST APIs and at least one cloud platform (Azure, AWS, GCP)
- Experience with MongoDB or similar NoSQL databases
- Proficiency with Git workflows, branching strategies, and code review
- Strong problem\-solving skills and eagerness to learn in a fast\-paced environment
### Nice to Have:
- Knowledge of agent memory, planning, and tool\-use strategies
- Azure AI foundry
- Familiarity with containerization (Docker) and CI/CD pipelines
- Contributions to open\-source AI projects or personal agent\-based experiments
### Compensation \& Benefits:
Competitive Base Salary: $125,000 \- $145,000 based on experience and location.
Benefits:
- 401k Match: Match 200% of contributions up to the first 5% of salary, resulting in a total potential match of 10%.
- Medical, Dental, and Vision Coverage: Patch My PC covers 99% of premiums for both team members and dependents.
Other Benefits:
- FSA/HSA.
- Fertility benefits.
- Parental leave.
- Paid\-time off (PTO).
- Volunteer leave.
- Charitable donation matching.
- Tuition reimbursement.
- Gym membership reimbursement.
- Internet stipend.
- Pet insurance.
*Learn more about our benefits here:* *https://patchmypc.com/careers\#we\-care**.*
### What to Expect in the Interview Process
Our interview process is designed to help us understand how you think, build software, and collaborate with others. It also gives you an opportunity to learn more about our team, the problems we are solving and what it is like to work at Patch My PC.
Throughout the process we look not only at technical skills but also how candidates align with our core values. These values guide how we work together, support our customers and continue to grow as a team.
Step 1: Technical Assessment
Candidates begin with an online coding assessment focused on problem solving and core programming concepts. This helps us understand your approach to writing clean, efficient code and working through technical challenges.
Step 2: Initial Screen
A 20\-30 minute conversation with our Talent team to learn more about your background, experience and career goals. We will also share more about Patch My PC, our culture and how our values guide the way we work.
Step 3: Hiring Manager Interview
A conversation with the hiring manager to discuss your technical experience, previous projects and how you approach building and supporting production systems. This discussion also provides an opportunity to learn more about the team, current priorities and expectations for the role.
Step 4: Technical Interview
A live technical interview with members of our engineering team. This session focuses on software engineering fundamentals such as coding, system design, debugging and how you approach real world engineering problems. You may be asked to walk through your thinking while solving a problem collaboratively.
Step 5: Team and Leadership Conversations
The next stage includes conversations with engineering leaders and cross functional team members. In addition to discussing technical experience we focus on collaboration, communication and how you contribute to a team environment grounded in humility, ownership, empathy, and delivering excellence.
Step 6: Final Conversation with Our CEO
As a final step candidates may meet with our CEO and Founder Justin Chalfant. This conversation focuses on our mission, culture, and values and gives you the opportunity to ask questions about the company vision and the impact our team is working to create.
Additional Information
*Most interviews are conducted virtually. In some cases we may invite candidates to participate in an in person conversation or onsite visit, depending on the role, location, and stage of the process.*
Our goal is to keep the process efficient and respectful of your time while ensuring both you and our team feel confident about the fit both technically and culturally.
Equal Opportunity Employer:
Patch My PC is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process. We encourage women, racial and ethnic minorities, individuals with disabilities, and veterans to apply.
Work Authorization:
To be eligible for consideration, candidates for fully remote positions must reside in one of the following U.S. states at the time of hire:
AL, AK, AR, AZ, CA, CO, CT, DE, FL, GA, HI, IA, ID, IL, IN, KS, KY, LA, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NJ, NM, NV, OH, OK, PA, RI, SC, SD, TN, TX, UT, VA, WA, WI, WV, WY.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Salary Context
This $125K-$145K range is in the lower quartile for AI Software Engineer roles in our dataset (median: $190K across 219 roles with salary data).
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 3,823 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Patch My PC, 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 $232,000 based on 797 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,000. This role's midpoint ($135K) sits 42% below the category median. Disclosed range: $125K to $145K.
Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.
Patch My PC AI Hiring
Patch My PC has 1 open AI role right now. They're hiring across AI Software Engineer. Based in Remote, US. Compensation range: $145K - $145K.
Remote Work Context
Remote AI roles pay a median of $170,000 across 1,926 positions. About 15% of all AI roles offer remote work.
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 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.
The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 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 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). 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 (112) are outnumbered by mid-level (1,798) and senior (1,516) 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 397 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 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 $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. 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 Engineering Manager roles lead at $275,000 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 (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 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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