FSD GEN AI

Job Description

We are looking for a skilled and proactive Full Stack Developer to join our AWAC team, supporting the development and integration of Generative AI applications. In this role, you will collaborate with GenAI engineers, DevOps, and QA teams to build scalable, user facing applications that incorporate LLM capabilities and ensure seamless deployment and testing across environments. Key Responsibilities Design and develop end to end web applications that integrate with Generative AI services and APIs (e.g., Bedrock, SageMaker, LangChain, Vector DBs) Collaborate with GenAI developers to translate AI models and PoCs into production-ready applications. Build intuitive frontends and robust backends using modern frameworks (e.g., React/Angular + Node.js/Java/Python). Develop and manage RESTful APIs, microservices, and serverless functions to support AI workflows. Work closely with DevOps teams to containerize, deploy, and monitor applications using tools like Docker, Kubernetes, Terraform, and CI/CD pipelines. Coordinate with QA teams to define and execute end-to-end testing, including integration, performance, and user acceptance testing. Ensure application scalability, security, and performance optimization. Maintain documentation for architecture, APIs, and deployment processes. Required Skills & Technologies 4 to 6 years of experience in full stack development. Proficiency in JavaScript/TypeScript, React or Angular, and backend technologies like Node.js, Python, or Java. Experience integrating with cloud-based AI/ML services, especially on AWS (e.g., Bedrock, SageMaker, Lambda). Strong understanding of REST APIs, microservices architecture, and serverless computing. Familiarity with DevOps practices: Docker, Kubernetes (EKS/ECS), Git, CI/CD, Terraform. Experience with automated testing frameworks and end-to-end testing strategies. Ability to work in cross-functional teams and manage multiple integration points. Preferred Qualifications Experience working with Generative AI applications or integrating with LLM APIs. Exposure to LangChain, Vector DBs (e.g OpenSearch), and prompt engineering concepts. Bachelors degree in Computer Science, Engineering, or a related field. Familiarity with Agile/Scrum methodologies.