
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.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $105.2k - $199.5k / year
⏰ Full Time
🔴 Lead
🤖 AI Engineer
🦅 H1B Visa Sponsor
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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 and identify opportunities to enhance software systems • Integrate Generative AI models and capabilities into production software applications • Evaluate and select Generative AI models, tools, and techniques based on performance, cost, maintainability, and business impact • Write high-quality code combining traditional software engineering with AI components • Review and translate product requirements into AI-enabled technical solutions • Lead design and code reviews for AI-enhanced applications • Lead multiple sprint teams delivering AI-powered features and improvements • Collaborate with product managers, data scientists, and engineering teams to identify AI opportunities and develop practical solutions • Mentor engineers on incorporating AI into software development practices • Drive practical AI adoption across teams • Collaborate with product managers to estimate effort, prioritize AI integration opportunities, and deliver measurable business value
• 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 data structures, algorithms, and design patterns • Experience with relational databases, NoSQL, and caching solutions • Skilled in APIs using modern protocols like REST and gRPC • Experience with message queuing, data streaming, workflow, and integration frameworks such as Apache Kafka, Apache NiFi, Amazon SQS, MS MQ, and Apache Camel • Knowledge of microservices architecture • Experience with Docker and Kubernetes • Proficiency in AWS, Google Cloud, or Azure • Experience leveraging DevSecOps • Experience designing and implementing high-quality distributed application systems • Experience leveraging analytics data and experimentation • Excellent problem-solving skills • Strong communication, collaboration, and influence skills across cross-functional teams and stakeholders • Demonstrated leadership through mentoring and providing technical guidance to multiple teams • Experience championing operational excellence and best practices, including quality, performance, scalability, maintainability, and observability • Experience driving technical strategy and vision for multiple teams
• 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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