API Developer

Experience using Generative AI tools (e.g., GitHub Copilot, Amazon Q, OpenAI APIs, Claude) to improve development productivity and build AI-enabled solutions. Experience integrating AI services, vector databases, RAG, or AI agents into enterprise applications.

Sr. API Developer
Location: NJ (Day 1 Onsite/Hybrid)
Duration: Long Term (12+ months)
Primary Skills: Node.js, nest.js, MongoDB, AWS, Java

Skills:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5–8 years of software development experience.
• Strong problem-solving, analytical, and communication skills.
• Experience working in Agile development teams
• Strong experience in NestJS, Node.js, and TypeScript
• Hands-on experience with MongoDB
• Experience with AWS Cloud services and cloud-native application development
• Good understanding of Microservices Architecture and REST APIs
• Experience with Docker, Kubernetes, and CI/CD pipelines
• Experience using Generative AI tools (e.g., GitHub Copilot, Amazon Q, OpenAI APIs, Claude) to improve development productivity and build AI-enabled solutions
• Familiarity with Prompt Engineering, AI-assisted development, and LLM integrations
• Knowledge of application security, Git, Agile methodologies, and DevOps practices
• Insurance Domain Experience
• Experience in the Mortgage Insurance domain is preferred.
• Experience working with insurance platforms or enterprise policy systems is an advantage.

Responsibilities:

• Design, develop, and maintain applications using NestJS and Node.js.
• Build scalable RESTful APIs and microservices for enterprise insurance applications.
• Design and optimize MongoDB data models and database performance.
• Develop and deploy cloud-native applications on AWS.
• Able to develop golden records, mapping, data lineage, ontology services using Mongo DB and NestJS.
• Integrate Generative AI capabilities into applications where applicable.
• Collaborate with architects, product owners, QA, and DevOps teams throughout the software development lifecycle.
• Participate in technical design discussions, code reviews, and sprint planning.
• Write clean, maintainable, and well-tested code following engineering best practices.
• Troubleshoot production issues and continuously improve application performance and reliability.

Preferred Skills:

• Experience with event-driven architectures and messaging platforms.
• Knowledge of Infrastructure as Code (Terraform/CloudFormation).
• Exposure to Guidewire or other insurance platforms.
• Experience integrating AI services, vector databases, RAG, or AI agents into enterprise applications.
• Passion for continuous learning and adopting emerging AI technologies.