This role is focused on building real-world GenAI solutions — not just experimentation or research. The candidate should be comfortable writing production-quality code, building APIs, integrating LLMs, and working with modern AI engineering frameworks and cloud platforms.
You will work closely with product managers, architects, data scientists, and engineering teams to develop scalable, secure, and efficient AI-powered applications.
 

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/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

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•    Design, develop, and deploy Generative AI applications using Large Language Models (LLMs) and modern AI frameworks.
•    Build and maintain scalable backend services and REST APIs using Python frameworks such as FastAPI, Flask, or Django.
•    Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search solutions using vector databases.
•    Integrate commercial and open-source LLMs into enterprise applications.
•    Develop prompt engineering workflows and support AI model evaluation and optimization.
•    Deploy and support AI applications on AWS cloud platforms.
•    Participate in troubleshooting and optimizing AI systems for latency, reliability, scalability, and cost efficiency.
•    Collaborate with cross-functional teams across onshore and offshore locations.
•    Write clean, maintainable, and testable code following software engineering best practices.
•    Participate in code reviews, unit testing, integration testing, and CI/CD processes.

•    3–5 years of experience in software engineering, AI/ML, or related technical roles.
•    Strong hands-on programming skills in Python.
•    Experience building backend applications and REST APIs using FastAPI, Flask, or Django.
•    Practical experience working with Generative AI or LLM-based applications.
•    Understanding of Retrieval-Augmented Generation (RAG) concepts and semantic search.
•    Experience with vector databases such as Pinecone, OpenSearch, or similar technologies.
•    Experience integrating AI models or services such as OpenAI, Anthropic, AWS Bedrock, Hugging Face, or open-source LLMs.
•    Experience with AWS cloud services and deploying applications in cloud environments.
•    Understanding of software engineering best practices including:
o    Unit testing
o    Integration testing
o    Git/version control
o    CI/CD workflows
•    Strong debugging, analytical, and problem-solving skills.
•    Good communication and collaboration skills.

Must have Qualifications
•    Experience with prompt optimization and AI evaluation techniques.
•    Exposure to NLP