AI Fullstack Engineer

Job Duties

• Lead end-to-end technical delivery by translating business requirements into scalable solutions, providing effort estimates, managing risks, and supporting the full SDLC from design through production support.
• Design, develop, and maintain full-stack applications using React, Node.js/NestJS, RESTful APIs, microservices architecture, and relational databases with Oracle PL/SQL integration.
• Build and support cloud-native and serverless applications on AWS, leveraging services such as Lambda, API Gateway, S3, EventBridge, and RDS, alongside Docker and CI/CD pipelines.
• Develop AI-driven solutions, including LLM integrations, RAG frameworks, and intelligent document processing capabilities to enhance business workflows and ERP connectivity.
• Collaborate closely with Business Analysts and cross-functional teams to define requirements, validate technical approaches, and deliver sustainable solutions.
• Ensure applications meet security, quality, performance, monitoring, and data governance standards through testing, documentation, and best engineering practices.
• Contribute to technical excellence through code reviews, documentation, mentoring, and knowledge-sharing initiatives.

Job Requirements

• Minimum 5 years of software development experience with proven ownership of solution architecture, technical design, and full project delivery lifecycle.
• Strong hands-on expertise in Node.js, NestJS, React, and AWS cloud technologies.
• Solid experience in designing and developing REST APIs, microservices, relational databases, and Oracle PL/SQL integrations.
• Practical knowledge of Git, Docker, CI/CD pipelines, automated testing frameworks, and API documentation standards.
• Experience integrating Generative AI technologies, including LLM APIs, RAG architectures, and tools such as AWS Bedrock, OpenAI, LangChain, or LlamaIndex.
• Strong analytical, problem-solving, stakeholder management, and communication skills with a proactive ownership mindset.
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
• Exposure to technologies such as TypeORM, Prisma, GraphQL, Redis, WebSockets, Jest, Cypress, OpenAPI/Swagger, or vector databases is advantageous.
• AWS Certified Developer Associate or AWS Certified Solutions Architect Associate certification would be a plus.