Staff Software Engineer AI

Mercury Insurance Services, LLC•Brea, CA

28d

About The Position

As a Staff Software Engineer focused on Generative AI initiatives, you will provide technical leadership in identifying, implementing, and integrating Generative AI solutions to solve complex business problems. You will bridge the gap between traditional software engineering and AI technologies, leading teams to deliver AI-enhanced features and capabilities while mentoring engineers on practical AI adoption within existing software systems.

Requirements

Bachelor’s Degree in Computer Science, Information Systems or other related fields Or equivalent combination of education and experience.
7+ years software engineering experience with proven experience in cutting-edge Technologies and/or those used at Mercury. 3+ years hands-on experience leading multi-team engineering initiatives for building features in a distributed application systems environment.
Proficient in programming in one or more industry-standard languages (e.g., Java, Python, Go, C++, JavaScript).
Proficient in leveraging various data structures, algorithms, and design patterns. Experienced in relational databases, NoSQL, and caching solutions.
Skilled in APIs using modern protocols like REST and gRPC.
Experienced in message queuing, data streaming, workflow, and integration frameworks (such as Apache Kafka, Apache NiFi, Amazon SQS, MS MQ, Apache Camel, etc.). Knowledgeable in microservices architecture.
Experienced in containerization technologies like Docker and Kubernetes. Proficient in cloud platforms such as AWS, Google Cloud, or Azure.
Experienced in leveraging DevSecOps to improve engineering efficiency.
Proficient in designing and implementing high-quality distributed application systems that are modular, configurable, maximize reuse, and are fast, effective, user-friendly, secure, compliant, scalable, and maintainable.
Experienced in leveraging analytics data and experimentation to design and improve systems for speed, scalability, and effectiveness.
Excellent problem-solving skills leading to innovative solutions.
Strong communication skills. Strong ability to collaborate and influence cross-functional teams and stakeholders across multiple functional areas to address impediments and deliver desired results.
Demonstrated leadership skills through mentoring and providing technical guidance to multiple teams within a functional area.
Experienced in championing operational excellence and best practices with a focus on quality, performance, scalability, maintainability, and observability.
Experienced in driving technical strategy and vision for multiple teams.

Nice To Haves

Master’s Degree in Computer Science.
7+ years working at the intersection of Software Engineering and AI Engineering. 3+ years working on Generative AI related initiatives including leveraging closed and open source models and libraries

Responsibilities

Apply Generative AI techniques to solve complex business problems by identifying opportunities where AI can enhance existing software systems and create new intelligent features.
Integrate Generative AI models and capabilities into production software applications, bridging the gap between Generative AI research and practical software engineering implementation.
Evaluate and select appropriate Generative AI models, tools, and techniques for specific use cases, considering factors like performance, cost, maintainability, and business impact.
Write high-quality code that combines traditional software engineering with AI components, ensuring robust integration, proper error handling, and comprehensive test coverage.
Review and translate product requirements into technical solutions that leverage AI effectively, designing systems that seamlessly blend AI capabilities with core application functionality.
Lead design and code reviews for AI-enhanced applications, ensuring best practices in both software engineering and AI implementation while maintaining Mercury standards.
Lead multiple sprint teams to deliver AI-powered features and improvements, addressing technical challenges in integrating AI into existing software systems.
Collaborate with product managers, data scientists, and engineering teams to identify AI opportunities and translate them into practical software solutions.
Mentor engineers on how to effectively incorporate AI into their software development practices, promoting understanding of AI capabilities and limitations.
Drive practical AI adoption across teams by demonstrating how to effectively combine software engineering principles with AI technologies.
Collaborate with product managers to estimate effort for AI-enhanced features, prioritize AI integration opportunities, and deliver measurable business value through AI implementation.

Benefits

Competitive compensation
Flexibility to work from anywhere in the United States for most positions
Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
Medical, dental, vision, life, and pet insurance
401 (k) retirement savings plan with company match
Engaging work environment
Promotional opportunities
Education assistance
Professional and personal development opportunities
Company recognition program
Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more