
5001 - 10000 employees
Founded 1962
🚘 Automotive
💼 Consulting
📦 Logistics
Automotive • Consulting • Logistics
Mercury Insurance is a leading provider of insurance products, focusing on protecting individuals and their assets with a commitment to privacy and customer service. The company operates through independent agents and offers a range of insurance services including auto, home, and other personal insurance products. Mercury Insurance prioritizes the security of personal information and compliance with privacy laws, ensuring that customer data is handled with care and only shared when necessary for account servicing or as legally required.
🕒 May 1
🏈 Alabama, Alaska, +44 more states – Remote
💵 $101.2k - $204.4k / year
⏰ Full Time
🔴 Lead
🤖 AI Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 35%
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5001 - 10000 employees
Founded 1962
🚘 Automotive
💼 Consulting
📦 Logistics
Automotive • Consulting • Logistics
Mercury Insurance is a leading provider of insurance products, focusing on protecting individuals and their assets with a commitment to privacy and customer service. The company operates through independent agents and offers a range of insurance services including auto, home, and other personal insurance products. Mercury Insurance prioritizes the security of personal information and compliance with privacy laws, ensuring that customer data is handled with care and only shared when necessary for account servicing or as legally required.
• 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.
• Minimum: Bachelor’s Degree in Computer Science, Information Systems or other related fields Or equivalent combination of education and experience. • Preferred: Master’s Degree in Data Science. • Minimum: 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. • Preferred: 5 or more years of experience with Data Science, NLP, AI, etc. • 5 or more years of experience working on production ready conversational AI related initiatives including leveraging closed and open source models and libraries including enterprise platform • Experience with Agentic AI, RAG, Prompt, human in the loop evaluation • Experience with product data analytics
• 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
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