Hybrid Principal Python Engineer

at Verisk

• Job title: Principal Python Engineer
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: AWS, Django, Flask, Python
• Location requirements: Hybrid, Hyderabad, India

About the role

• Principal Engineer – GenAI at Verisk specializing in software development and GenAI system implementation. Leading project initiatives to design and deliver scalable AI solutions for various industries.

Responsibilities

• Accountable for leading application development supporting business objectives while demonstrating independence in software development lifecycle phases from concept and design to testing.
• Lead new and existing applications along with enhancements to applications and infrastructure.
• Perform hands-on coding while designing and architecting data processing and analytics solutions.
• Serve as a liaison to internal customers, research groups and various business support areas.
• Provides technical guidance to junior programmers and other software engineers.
• Ability to troubleshoot and maintain mid-level to complex applications.

Requirements

• 8+ years of proven experience in software development and system maintenance.
• Lead the implementation of GenAI systems, ensuring they are robust, secure, and performant is must.
• Leverage advanced knowledge of Python open-source software stack such as Fast API or Flask, Django or Django Rest
• Ability to learn and adapt to continuously changing technology.
• Should have AWS experience preferably.
• Demonstrated experience with N-tiered applications and multi-tier architecture.
• Highly experienced at developing elegant-yet-simple systems using best practices and design patterns.
• Highly experienced with multi-threading, memory management, networking, I/O concepts, and performance aspects of common classes and algorithms.
• Develop and design scalable and efficient GenAI solutions tailored to our requirements
• Design, develop, and deploy GenAI solutions using AWS Bedrock services, including model selection, fine-tuning, and integration with enterprise applications.
• Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases.
• Experience working on all aspects of enterprise-scale implementation for AI/GenAI solutions, including architecture, design, security, infrastructure, MLOPs

Benefits

• Professional development and tuition benefits
• Supportive, flexible workplace culture