Staff Agentic Software Engineer

Bio-Rad Laboratories•Irvine, CA

4d•Onsite

About The Position

The Staff Agentic Software Engineer drives the design, implementation, and adoption of agentic and AI-assisted software engineering practices across multiple product teams and engineering domains. The role combines hands-on software development expertise with technical leadership to integrate AI throughout the software development lifecycle, improve productivity and software quality, and accelerate delivery through reusable tools, frameworks, and workflows. The engineer leads complex technical initiatives, establishes scalable engineering patterns, and guides teams in adopting effective agentic engineering practices. Working with architects, engineering leaders, and cross-functional stakeholders, the role translates successful approaches into practical, reusable capabilities that support Bio-Rad’s software engineering strategy. The position must be based in Irvine, California, within commuting distance of the office.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
10 or more years of software engineering experience, including experience applying AI-assisted or agentic software engineering practices.
At least 3 years of hands-on experience with AI-assisted development tools, agentic workflows, or related technologies.
Demonstrated experience leading technical initiatives, influencing engineering decisions across multiple teams, and turning prototypes into reusable engineering capabilities.
Strong hands-on experience with AI-powered development tools, agentic workflows, and integration of AI capabilities across multiple software development lifecycle activities.
Strong full-stack development experience, including design, development, testing, debugging, and maintenance of production-quality applications.
Strong practical experience with .NET and Angular.
Hands-on experience designing, developing, and deploying cloud-based software using AWS services and cloud-native engineering practices.
Ability to lead complex technical design decisions, evaluate architectural trade-offs, and develop scalable, maintainable, secure, and reusable software solutions.
Experience designing and implementing agentic workflows, tool integrations, context management, orchestration, human-in-the-loop controls, and use-case-appropriate evaluation mechanisms.
Proven ability to develop reusable libraries, engineering tools, automation, reference implementations, or frameworks that improve productivity and quality across teams.
Strong understanding of software engineering best practices, automated testing, CI/CD, secure development, maintainability, and reliability, including safeguards for AI-generated code and agent-driven actions.
Must be based in Irvine, California, within commuting distance of the office.

Nice To Haves

Master’s degree.
Experience with Golang.
Experience in clinical diagnostics, medical devices, healthcare, or life sciences, particularly in a regulated software development environment.
Experience developing or maintaining AI-enabled software products subject to regulatory, quality, cybersecurity, or safety requirements.
Experience applying AI and agentic workflows to requirements engineering, software architecture, code generation, automated testing, documentation, or software maintenance.
Experience with AI agent frameworks, model APIs, retrieval-augmented generation (RAG), vector databases, or Model Context Protocol (MCP).
Experience with distributed systems, event-driven architectures, microservices, and cloud-native application development.

Responsibilities

Drive implementation and adoption of agentic and AI-assisted software engineering practices across multiple product teams, integrating AI into design, coding, testing, documentation, and troubleshooting.
Lead complex engineering initiatives and influence technical decisions across assigned product areas.
Guide teams in designing and implementing scalable, maintainable, secure, and high-quality software solutions.
Design and implement reusable agentic workflows, tools, frameworks, reference implementations, and automation to improve productivity, consistency, and quality across products.
Evaluate and implement agent orchestration patterns, context management, tool integration, human oversight, evaluation strategies, and safeguards for reliable, secure, and responsible AI-assisted engineering.
Provide technical guidance and mentorship to senior and other software engineers, helping teams build expertise and adopt effective agentic engineering practices.
Establish measures for productivity, code quality, test effectiveness, defect reduction, and delivery efficiency, and use them to evaluate and continuously improve agentic engineering.

Benefits

Competitive medical plans for employees and their families
Free HSA funds
Fertility offering with stipend
Group life and disability coverage
Paid parental leave
401(k) plus profit sharing
Employee stock purchase program
Mental health platform
Learning and development opportunities
Education benefits
Student debt relief program
Pet insurance
Wellness challenges and support
Paid time off
Employee Resource Groups (ERGs)
Variable annual bonus dependent on individual objectives and Company performance