About BlitzenX
BlitzenX is a specialized insurance technology and transformation partner helping P&C insurance carriers modernize core systems, accelerate delivery, and adopt AI-driven solutions. Our focus spans Guidewire, cloud-native architecture, automation, enterprise integration, and applied AI.
This internship is designed for builders who want hands-on experience developing real-world AI applications, automation platforms, and intelligent agents.
What You'll Do
- Build AI-powered applications using Large Language Models (LLMs)
- Develop agentic AI workflows and multi-agent systems
- Create REST APIs and backend services that integrate AI capabilities into enterprise platforms
- Work with vector databases, RAG architectures, and prompt engineering frameworks
- Assist in developing internal AI accelerators and automation tools
- Participate in product development initiatives across AI and insurance technology solutions
- Research emerging AI technologies and evaluate practical business use cases
- Collaborate with senior engineers, architects, and product teams
Required Qualifications
- Pursuing or recently completed a Bachelor's or Master's degree in:
- Computer Science
- Artificial Intelligence
- Data Science
- Information Technology
- Related Engineering discipline
- Strong programming skills in Python
- Understanding of data structures, algorithms, and software engineering fundamentals
- Basic knowledge of:
- Machine Learning
- Generative AI
- APIs and Web Services
- Databases
- Git
Preferred Skills
- Experience with:
- OpenAI APIs
- LangChain
- LlamaIndex
- CrewAI
- AutoGen
- Vector databases
- FastAPI
- Docker
- Azure or AWS
- Personal AI projects, GitHub contributions, or hackathon participation
What Success Looks Like
By The End Of The Internship, You Will Have
- Built and deployed production-grade AI solutions
- Contributed code to customer-facing or internal AI products
- Worked alongside experienced architects and engineering leaders
- Developed practical expertise in agentic AI and enterprise AI implementation
What We're Looking For
- Curious builders, not passive learners
- Strong problem-solving mindset
- Ability to learn quickly and execute independently
- Ownership mentality and accountability
- Passion for AI, automation, and emerging technologies
Compensation
- Monthly Stipend: Competitive
- Potential Pre-Placement Offer (PPO) based on performance
