Develop prototype agentic AI systems

Investigate AI-native methodologies using platforms like AWS Bedrock and EPAM Codemie

Implement prompt and context engineering to improve insurance-related workflows

Build proof-of-concept projects such as Synthetic Personas and automated enterprise agentic networks

Streamline processes by automating context engineering pipelines

Minimum 5 years of experience in Python, Node.js, TypeScript, and Java for generative AI applications

Familiarity with AI experimentation frameworks like TensorFlow and PyTorch

Experience with AWS services including Lambda, API Gateway, and VPC

Knowledge of event-driven architectures and REST/GraphQL API design, with Kafka proficiency

Skills in containerization using Docker and Kubernetes

Hands-on experience with serverless frameworks and AI tools such as Anthropic Claude and GitHub Copilot

Strong background in NoSQL and SQL databases including MongoDB, DynamoDB, and PostgreSQL

Demonstrated ability in unit and integration testing

Expertise in CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab

Understanding of security best practices for software development

Ability to work independently as well as collaboratively in a team environment