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Metro location, generalist fullstack title, and broad skillset drive moderate candidate competition.
Core fullstack skills are transferable, but GenAI and enterprise insurance context create moderate domain specificity.
Explicit 1-2 years requirement plus mandatory Java/frontend/backend, cloud, and GenAI tooling increases filtering strictness.
Design, develop, and implement enterprise-grade multi-platform applications including front-end, back-end, and APIs with a focus on integrating GenAI and Agentic AI tools.
Build POCs and prototypes to validate AI-driven ideas and enhance operational workflows within an agile, continuous integration and delivery environment.
Collaborate with architects, technical leads, and cross-functional teams to ensure adherence to enterprise standards, application security, and performance optimization.
1-2 years of experience in application development.
Expertise in at least one programming language: Java, .NET, or Python.
Experience with front-end frameworks (Angular or React), back-end Java or Python frameworks, and RESTful API development (Spring Boot or similar).
Familiarity with SQL/NoSQL databases (PostgreSQL, MongoDB), cloud databases (AWS RDS, DynamoDB, Aurora, BigQuery), and cloud platforms such as AWS or GCP.
Experienced in designing and integrating GenAI and Agentic AI capabilities to enhance operational efficiency and autonomous decision-making.
Comfortable working in agile teams with continuous integration and delivery practices, maintaining high code quality and test coverage.
Has a technical mindset aligned with enterprise IT operations and scalable software development, preferably with some knowledge of insurance domain or cloud certifications (optional).