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About This Role
Engineering Manager, Software Engineering & AI Platforms
About Radwell International
Radwell International is a global leader in industrial automation, MRO, and electronic repair solutions. For more than 40 years, we have helped manufacturers and industrial organizations keep their operations running through industry-leading inventory, repair services, engineering expertise, and innovative digital solutions. With locations across North America, Europe, Asia, and beyond, Radwell serves customers worldwide while continuously investing in technology, automation, and AI-driven innovation.
At Radwell, technology is a strategic differentiator. Our software engineering teams build the platforms that power our global eCommerce business, ERP systems, customer experience, AI initiatives, and operational processes. We are seeking a highly accomplished Engineering Manager to help lead our next generation of digital transformation.
Position Summary
The Engineering Manager leads a team of software engineers responsible for designing, developing, and delivering scalable digital solutions that support Radwell International's global business operations.
This role oversees software engineering teams supporting enterprise platforms, eCommerce systems, internal applications, AI-enabled services, ERP integrations, and cloud-native technologies. The Engineering Manager will work closely with Enterprise Architecture, Product Management, Data Engineering, DevOps, AI teams, and business stakeholders to deliver secure, scalable, and resilient technology solutions.
A key focus of this position is driving integration and innovation across ERP and Salesforce ecosystems while leading modernization efforts utilizing cloud-first architecture, microservices, event-driven systems, and artificial intelligence technologies.
This role also plays a critical leadership function in coordinating engineering initiatives across U.S.-based teams and the India Shared Services Center (ISSC).
What You'll Do
Leadership & Team Development
- Lead, coach, mentor, and develop multiple software engineering teams.
- Establish engineering best practices, coding standards, and delivery processes.
- Manage direct reports, supervisors, architects, developers, administrators, and automation engineers.
- Drive accountability, performance management, career development, and succession planning.
- Partner with business and technology leaders to prioritize projects and align resources.
- Coordinate execution across internal teams, external partners, and shared service organizations.
Software Development & Architecture
- Lead the design, development, and delivery of enterprise software solutions across ERP, Salesforce, eCommerce, and integration platforms.
- Design scalable cloud-native applications utilizing modern architecture patterns.
- Oversee systems built with technologies including .NET/C#, React, Next.js, GraphQL, REST APIs, SQL Server, NoSQL databases, Kafka, Azure Service Bus, Event Hub, and microservices.
- Guide software architecture decisions and drive modernization initiatives.
- Ensure high-quality code through automation, peer review, testing, and continuous improvement.
AI & Innovation
- Lead the adoption and deployment of AI-assisted development tools and intelligent automation solutions.
- Develop and implement AI Agents, LLM-powered workflows, and business process automation initiatives.
- Identify opportunities to improve operational efficiency through AI-driven solutions.
- Collaborate with enterprise stakeholders to bring AI initiatives from concept to production with measurable business outcomes.
Cloud & Platform Engineering
- Support modernization of infrastructure through Azure, AWS, and cloud-native technologies.
- Drive adoption of Kubernetes, Docker, Infrastructure as Code (IaC), CI/CD pipelines, and DevOps practices.
- Ensure systems meet performance, scalability, reliability, and security requirements.
- Establish telemetry, monitoring, analytics, and operational KPIs.
Business Partnership
- Collaborate with stakeholders across Sales, Operations, Purchasing, Accounting, Supply Chain, and Customer Experience teams.
- Translate business requirements into scalable technical solutions.
- Support release management, end-user training, and business adoption efforts.
- Ensure engineering solutions align with Radwell's growth strategy and customer experience objectives.
Required Qualifications
Leadership Experience
- 10+ years of software development experience across on-premises and cloud environments.
- 5+ years managing senior stakeholders, organizational change, and project scope.
- 5+ years leading multiple engineering teams, external vendors, and consulting partners.
- Demonstrated success building high-performing technical teams.
Technical Expertise
- 10+ years delivering software products using Agile and Scrum methodologies.
- Extensive experience with: + C#, .NET Core, ASP.NET Core + JavaScript, TypeScript, React.js, Next.js + REST APIs and GraphQL + SQL Server, PostgreSQL, MySQL, MariaDB + NoSQL databases and distributed systems + Event-driven architecture and microservices + Kafka, Azure Service Bus, Event Hub, and messaging platforms + CI/CD pipelines and DevOps practices + Kubernetes and containerized deployments + Azure, AWS, or GCP cloud environments
Enterprise Systems Experience
- Strong experience integrating ERP systems (SAP, NetSuite, Epicor, or similar) with Salesforce.
- Experience designing API-driven architectures and enterprise integration platforms.
- Knowledge of business processes supporting sales, purchasing, inventory management, accounting, and fulfillment operations.
AI & Automation Experience
- Proven success implementing AI initiatives with measurable business results.
- Hands-on experience with: + OpenAI, Anthropic, Gemini, or similar LLM technologies + LangChain, LangGraph, CrewAI, or equivalent agent frameworks + Vector databases including Pinecone, Weaviate, and pgvector + AI workflow automation and intelligent business process optimization
- Experience incorporating AI into software delivery lifecycle processes.
Additional Qualifications
- Strong communication and leadership skills.
- Commitment to mentoring and developing engineering talent.
- Passion for software quality, security, performance, and continuous improvement.
Preferred Qualifications
- Mobile application development experience (Windows, iOS, and Android).
- Industrial eCommerce experience supporting large-scale B2B/B2C platforms.
- Experience with Retrieval Augmented Generation (RAG), knowledge graphs, and AI-powered search solutions.
Education
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline required.
- Master's degree or MBA preferred.
Why Join Radwell?
- Lead high-impact engineering initiatives that support a global enterprise.
- Influence the future of AI and digital transformation within the organization.
- Work with modern technologies and cloud-first architectures.
- Collaborate with talented teams across the United States and internationally.
- Join a company committed to innovation, growth, and continuous improvement.
Benefits & Perks
At Radwell International, we recognize that our employees are our greatest asset. We offer a competitive benefits package designed to support your health, financial well-being, professional growth, and work-life balance, which may include:
- Medical, Dental, and Vision Insurance
- Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
- Company-Paid Life Insurance and Short-Term Disability Coverage
- Voluntary Life, Accident, Critical Illness, and Long-Term Disability Insurance
- 401(k) Retirement Plan with Company Match
- Paid Vacation, Sick Time, and Company Holidays
- Employee Assistance Program (EAP)
- Professional Development and Training Opportunities
- Employee Referral Bonus Program
- Career Advancement Opportunities within a Global Organization
- Employee Discount Programs and Wellness Resources
Specific benefit offerings are subject to plan eligibility requirements and may vary based on employment status and location.
Salary Range: $140,000 - $195,000 annually plus 10% annual bonus
Actual compensation will be determined based on experience, qualifications, technical expertise, leadership experience, and other job-related factors permitted by law. Radwell International is committed to pay equity and maintaining competitive compensation practices.
Radwell International is an Equal Opportunity Employer.
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Salary Context
This $140K-$195K range is below the median for AI Software Engineer roles in our dataset (median: $192K across 198 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 9,079 AI roles we're tracking, AI Software Engineer positions make up 5% of the market. At Radwell International, 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 $220,000 based on 1,601 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($167K) sits 24% below the category median. Disclosed range: $140K to $195K.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
Radwell International AI Hiring
Radwell International has 1 open AI role right now. They're hiring across AI Software Engineer. Based in Willingboro, NJ, US. Compensation range: $195K - $195K.
Location Context
Across all AI roles, 6% (531 positions) offer remote work, while 8,478 require on-site attendance. Top AI hiring metros: New York (3,078 roles, $221,000 median); San Francisco (2,646 roles, $261,000 median); Los Angeles (1,486 roles, $210,000 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 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 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 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). 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 (106) are outnumbered by mid-level (4,384) and senior (3,343) 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 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 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 $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. 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 $256,000 median, while Prompt Engineer roles sit at $141,440. 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 (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 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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