Universal Background Screening
Automation/AI Software Engineering Manager (Remote CST or EST only)
Universal Background Screening, Surprise, Arizona, United States, 85379
Automation/AI Software Engineering Manager (Remote CST or EST only)
1 day ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
Universal Background provides industry leading people insights to safety sensitive organizations in a simplified experience through our best-in-class background screening, drug testing, occupational health, and verification services. We are proudly ranked as an industry leader in quality and service delivery.
MUST BE IN CENTRAL OR EASTERN TIME ZONE IN USA The Automation/AI Software Engineering Manager is responsible for leading our engineering team in building cutting-edge automation solutions powered by Large Language Models (LLMs). This role combines technical leadership, people management, and strategic vision to drive innovation in AI-powered automation systems.
Key Responsibilities
Lead, mentor, and grow a team of 6-10 software engineers working on automation and LLM-based solutions
Foster a culture of innovation, collaboration, and continuous improvement
Conduct performance reviews, provide career development guidance, and manage team dynamics
Recruit top engineering talent and build a high-performing team
Technical Strategy & Execution
Define technical roadmap for automation initiatives leveraging LLM APIs and cloud services
Architect scalable solutions that integrate LLM APIs (OpenAI, Anthropic, Google, etc.) with existing systems and workflows
Build and deploy simple AI agents using LLM APIs for automation use cases
Drive adoption of best practices in prompt engineering, API integration, and agent design patterns
Oversee development of automation frameworks, tools, and platforms using cloud-native services
Balance technical debt with feature development and innovation
Cross-Functional Collaboration
Partner with Product Management to identify automation opportunities using LLM capabilities
Collaborate with business teams to understand workflows and design appropriate AI agent solutions
Work with DevOps/Infrastructure teams to ensure reliable deployment and monitoring of LLM-powered systems
Communicate technical concepts and ROI of LLM automation to executive leadership
Delivery & Operations
Ensure timely delivery of high-quality software through agile development practices
Establish metrics and KPIs to measure automation effectiveness and LLM performance
Implement monitoring, observability, and incident response processes for production systems
Manage project timelines, resource allocation, and stakeholder expectations
Position Requirements Required Qualifications
Education: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
Experience: 7+ years in software engineering with 3+ years in engineering management
Automation Expertise: Strong background in building automation tools, frameworks, or platforms (RPA, workflow automation, CI/CD, testing automation, etc.)
LLM/AI Experience: 1-2+ years hands-on experience integrating and using LLM APIs in production applications
Leadership: Proven track record of building and managing high-performing engineering teams
Preferred Qualifications
AWS Certified Solutions Architect or AWS Certified Database Specialty
Microsoft Certified: Azure Developer Associate or similar .NET certifications
Database certifications (Microsoft SQL Server, PostgreSQL, MongoDB)
Scrum Master or Agile certifications
GitHub Copilot or AI-assisted development certifications (if available)
Technical Skills
Proficiency in C#, .NET Framework, and .NET Core/ASP.NET
Strong experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI)
Expertise in prompt engineering and building simple AI agents for automation tasks
Experience with cloud platforms and their AI services (Azure AI, AWS Bedrock, GCP Vertex AI)
Knowledge of REST APIs, microservices architecture, and Azure Functions/AWS Lambda
Understanding of agent design patterns and multi-step workflows
Technical Environment
Languages: C#, .NET Framework, .NET Core, ASP.NET
LLM Stack: Azure OpenAI, OpenAI GPT-4, Claude API, Semantic Kernel
Infrastructure: Azure (primary), AWS, Docker, Kubernetes
Tools: Azure DevOps, GitHub, Jira, Application Insights
Automation: Azure Logic Apps, Power Automate, custom .NET orchestration systems
Special Requirements
May require on-call availability for critical incidents
Occasional travel may be required to offshore development locations
Flexibility required for meetings with offshore teams across different time zones
Some on-call availability for critical production issues
Must be proficient in the English language, both written and verbal.
Prolonged periods sitting at a desk and working on a computer.
Ability to lift 50 pounds.
Selected candidates will be required to pass a comprehensive background check and drug screening.
Universal Background is unable to sponsor or take over sponsorship of employment Visa.
Universal Background is committed to creating a diverse work environment and we are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
#J-18808-Ljbffr
Get AI-powered advice on this job and more exclusive features.
Universal Background provides industry leading people insights to safety sensitive organizations in a simplified experience through our best-in-class background screening, drug testing, occupational health, and verification services. We are proudly ranked as an industry leader in quality and service delivery.
MUST BE IN CENTRAL OR EASTERN TIME ZONE IN USA The Automation/AI Software Engineering Manager is responsible for leading our engineering team in building cutting-edge automation solutions powered by Large Language Models (LLMs). This role combines technical leadership, people management, and strategic vision to drive innovation in AI-powered automation systems.
Key Responsibilities
Lead, mentor, and grow a team of 6-10 software engineers working on automation and LLM-based solutions
Foster a culture of innovation, collaboration, and continuous improvement
Conduct performance reviews, provide career development guidance, and manage team dynamics
Recruit top engineering talent and build a high-performing team
Technical Strategy & Execution
Define technical roadmap for automation initiatives leveraging LLM APIs and cloud services
Architect scalable solutions that integrate LLM APIs (OpenAI, Anthropic, Google, etc.) with existing systems and workflows
Build and deploy simple AI agents using LLM APIs for automation use cases
Drive adoption of best practices in prompt engineering, API integration, and agent design patterns
Oversee development of automation frameworks, tools, and platforms using cloud-native services
Balance technical debt with feature development and innovation
Cross-Functional Collaboration
Partner with Product Management to identify automation opportunities using LLM capabilities
Collaborate with business teams to understand workflows and design appropriate AI agent solutions
Work with DevOps/Infrastructure teams to ensure reliable deployment and monitoring of LLM-powered systems
Communicate technical concepts and ROI of LLM automation to executive leadership
Delivery & Operations
Ensure timely delivery of high-quality software through agile development practices
Establish metrics and KPIs to measure automation effectiveness and LLM performance
Implement monitoring, observability, and incident response processes for production systems
Manage project timelines, resource allocation, and stakeholder expectations
Position Requirements Required Qualifications
Education: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
Experience: 7+ years in software engineering with 3+ years in engineering management
Automation Expertise: Strong background in building automation tools, frameworks, or platforms (RPA, workflow automation, CI/CD, testing automation, etc.)
LLM/AI Experience: 1-2+ years hands-on experience integrating and using LLM APIs in production applications
Leadership: Proven track record of building and managing high-performing engineering teams
Preferred Qualifications
AWS Certified Solutions Architect or AWS Certified Database Specialty
Microsoft Certified: Azure Developer Associate or similar .NET certifications
Database certifications (Microsoft SQL Server, PostgreSQL, MongoDB)
Scrum Master or Agile certifications
GitHub Copilot or AI-assisted development certifications (if available)
Technical Skills
Proficiency in C#, .NET Framework, and .NET Core/ASP.NET
Strong experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI)
Expertise in prompt engineering and building simple AI agents for automation tasks
Experience with cloud platforms and their AI services (Azure AI, AWS Bedrock, GCP Vertex AI)
Knowledge of REST APIs, microservices architecture, and Azure Functions/AWS Lambda
Understanding of agent design patterns and multi-step workflows
Technical Environment
Languages: C#, .NET Framework, .NET Core, ASP.NET
LLM Stack: Azure OpenAI, OpenAI GPT-4, Claude API, Semantic Kernel
Infrastructure: Azure (primary), AWS, Docker, Kubernetes
Tools: Azure DevOps, GitHub, Jira, Application Insights
Automation: Azure Logic Apps, Power Automate, custom .NET orchestration systems
Special Requirements
May require on-call availability for critical incidents
Occasional travel may be required to offshore development locations
Flexibility required for meetings with offshore teams across different time zones
Some on-call availability for critical production issues
Must be proficient in the English language, both written and verbal.
Prolonged periods sitting at a desk and working on a computer.
Ability to lift 50 pounds.
Selected candidates will be required to pass a comprehensive background check and drug screening.
Universal Background is unable to sponsor or take over sponsorship of employment Visa.
Universal Background is committed to creating a diverse work environment and we are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
#J-18808-Ljbffr