Software Engineer - Python Full Stack

We are looking for an AI Engineer to design and build scalable, production-grade AI solutions. This role combines full-stack software engineering with Generative AI, focusing on LLM-powered applications, RAG, agentic AI workflows and cloud-native deployment on AWS. The ideal candidate will be passionate about developing reliable AI products that solve complex business problems.

• Design, develop and deploy production-grade Generative AI and agentic AI applications.
• Build scalable full-stack applications using Python and modern frontend frameworks.
• Develop LLM-powered solutions using RAG, prompt engineering, semantic search and contextual memory.
• Design AI agents, multi-agent workflows, tool-calling systems and MCP integrations.
• Build and integrate RESTful APIs, microservices and SQL/NoSQL databases.
• Deploy and operate cloud-native applications using AWS services.
• Establish practices for AI evaluation, monitoring, guardrails, governance and performance optimization.
• Collaborate with product, engineering and business teams to translate requirements into reliable AI solutions.
• Create reusable development patterns and maintain high standards for code quality, security and documentation.

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology or a related field.
• Minimum 3 years of professional software development experience.
• Strong full-stack development experience, including Python and a modern frontend framework such as React, Angular or Vue.js.
• Hands-on experience with REST APIs, microservices and distributed applications.
• Experience working with relational and NoSQL databases.
• Practical experience deploying applications using AWS cloud services.
• Experience developing or integrating solutions using LLMs, RAG, prompt engineering and AI application frameworks.
• Exposure to AI agents, agent orchestration, tool calling, multi-agent workflows or MCP.
• Strong understanding of object-oriented programming, software design principles and application architecture.
• Proficiency with Git and modern software development practices.
• Strong problem-solving, analytical and communication skills.

Our People, Our Culture

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle.  We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture. 

Our Culture: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.

Awards & Recognition: See why Verisk is consistently recognized as a Great Place to Work™ around the world.

Our Businesses: Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.

Life at Verisk: Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.

Careers at Verisk: Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture

Let’s build something meaningful together!

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

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