Senior Software Developer at Contour Software involved in development, testing, and deployment within STC health. Collaborating with teams to deliver solutions in vaccine intelligence and immunization data management.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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