Description We are seeking an experienced Full Stack Developer to join our team. The ideal candidate will design, develop, and maintain end-to-end applications spanning modern front-end frameworks, robust middle-tier services, and scalable cloud-native data solutions. This role emphasizes AI-assisted development practices and hands-on experience building solutions powered by Large Language Models (LLMs).
Key Responsibilities
Design, develop, and maintain full stack applications from UI through middle tier to data layer
Build responsive, accessible front-end interfaces using Angular or Vue.js
Develop RESTful APIs and microservices using Java (Spring Boot) and Python-based frameworks (FastAPI, Flask, Django)
Design and manage relational and NoSQL data stores including PostgreSQL and document databases (e.g., Amazon DocumentDB, MongoDB)
Architect and deploy applications on AWS using services such as Lambda, ECS, S3, API Gateway, CloudFormation, and CDK
Leverage AI-powered coding tools (Amazon Q Developer, Kiro) to accelerate development workflows
Build and integrate LLM-powered features using AWS Bedrock or similar platforms
Participate in large-scale document analysis and intelligent data extraction initiatives
Collaborate with cross-functional teams in Agile/Scrum ceremonies
Design and maintain end-to-end automated test suites using frameworks such as Selenium, Cypress, or Playwright
Identify and resolve performance bottlenecks across the full stack including query optimization, API response tuning, front-end rendering, and JVM/Python profiling
Write unit and integration tests, conduct code reviews, and uphold engineering best practices
Mentor and guide junior developers through code reviews, pair programming, and knowledge-sharing sessions
Required Qualifications
7+ years of professional full stack development experience
Strong proficiency in Java (Spring Boot, Spring MVC) and Python (FastAPI, Flask, or Django)
Hands-on experience with Angular or Vue.js for front-end development
Solid experience with PostgreSQL and document databases (Amazon DocumentDB, MongoDB, or similar)
Experience using AI-assisted development tools such as Amazon Q Developer or Kiro for code generation, refactoring, and productivity
Practical experience building applications that integrate Large Language Models (LLMs), preferably using AWS Bedrock
Familiarity with CI/CD pipelines, containerization (Docker), and infrastructure-as-code
Experience with end-to-end test automation frameworks (Selenium, Cypress, Playwright, or similar)
Proven ability to performance tune applications including database query optimization, API latency reduction, front-end profiling, and load testing
Strong understanding of RESTful API design, microservices architecture, and secure coding practices
Excellent problem-solving, communication, and collaboration skills
Preferred Qualifications
Experience with large document analysis, intelligent document processing, or text extraction at scale (e.g., Amazon Textract, custom NLP pipelines)
Familiarity with Retrieval-Augmented Generation (RAG) patterns and vector databases
AWS certifications (Solutions Architect, Developer Associate, or similar)
Experience in the financial services or regulatory technology domain
Knowledge of prompt engineering and LLM fine-tuning techniques
Experience with Terraform or AWS CDK for infrastructure management
Education
Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
About the Role
We are seeking an experienced Full Stack Developer to join our team. The ideal candidate will design, develop, and maintain end-to-end applications spanning modern front-end frameworks, robust middle-tier services, and scalable cloud-native data solutions. This role emphasizes AI-assisted development practices and hands-on experience building solutions powered by Large Language Models (LLMs).
Key Responsibilities
Design, develop, and maintain full stack applications from UI through middle tier to data layer
Build responsive, accessible front-end interfaces using Angular or Vue.js
Develop RESTful APIs and microservices using Java (Spring Boot) and Python-based frameworks (FastAPI, Flask, Django)
Design and manage relational and NoSQL data stores including PostgreSQL and document databases (e.g., Amazon DocumentDB, MongoDB)
Architect and deploy applications on AWS using services such as Lambda, ECS, S3, API Gateway, CloudFormation, and CDK
Leverage AI-powered coding tools (Amazon Q Developer, Kiro) to accelerate development workflows
Build and integrate LLM-powered features using AWS Bedrock or similar platforms
Participate in large-scale document analysis and intelligent data extraction initiatives
Collaborate with cross-functional teams in Agile/Scrum ceremonies