Senior Full-Stack Engineer (AWS & GenAI)

About the Role We are seeking an experienced Senior Full-Stack Engineer to join our client's engineering team and lead the design and development of scalable, cloud-native applications. This role combines strong full-stack expertise with hands-on AWS experience and exposure to Generative AI integrations. You will play a key role in architectural decisions, cloud infrastructure design, and the integration of AI-driven capabilities that enhance product innovation. This position is ideal for a technically strong engineer who thrives in ownership roles, mentors others, and is passionate about building intelligent, high-performance systems on AWS. Responsibilities Design, develop, and maintain scalable full-stack applications using modern frameworks with a strong focus on performance, security, and maintainability Architect and implement cloud-native solutions leveraging AWS services and best practices Lead architectural discussions covering system design, microservices, distributed systems, and AI-assisted features Implement and support GenAI integrations (LLM APIs, prompt orchestration, embeddings, vector databases, AI-powered workflows) Drive technical initiatives from planning through delivery in a fast-paced environment Mentor junior engineers, conduct code reviews, and uphold engineering standards Contribute to DevOps processes including CI/CD, infrastructure automation, and observability Promote engineering excellence by improving processes, documentation, and technical culture Stay up to date with advancements in AWS, full-stack technologies, and Generative AI ecosystems Requirements 7+ years of professional software development experience, with at least 1 year in a technical leadership or mentoring role Strong hands-on experience in full-stack development (React + Node.js or equivalent stack) Proven experience designing and deploying cloud-native applications on AWS Strong understanding of software architecture, design patterns, data structures, and algorithms Strong understanding of the AWS Well-Architected Framework Experience with AWS services such as EC2, S3, RDS, Lambda, Fargate, SNS, EKS, and API Gateway Experience with relational and NoSQL databases Familiarity with DevOps practices, CI/CD pipelines, automated testing, and code quality tools Experience working in Agile environments Strong communication and problem-solving skills with a customer-centric mindset Bachelor's degree in Computer Engineering, Software Engineering, or equivalent practical experience Nice to Have Hands-on experience with Docker and Kubernetes Exposure to Generative AI frameworks such as LangChain or LangGraph Familiarity with embeddings, vector databases, and LLM-based workflows Experience building SaaS products and scalable microservices architectures Knowledge of additional languages such as Python, Java, Golang, or C# Experience with healthcare integrations (FHIR, HL7, Redox) is a plus What's on Offer Work with talented engineers and professionals as part of a globally distributed team building cutting-edge digital health products Strong career growth plan with support from experienced mentors and unlimited learning opportunities Be part of an experienced team, apply industry best practices, get mentored, and mentor others in turn Exposure to clients who are leading entrepreneurs and startups from Silicon Valley Work at the cutting edge of healthcare innovation, impacting the lives of thousands of people worldwide Flexibility to work remotely or in-office Access to internal learning initiatives, webinars, Knowledge Sharing Sessions (KSS), and internal conferences A safe, supportive workplace culture that encourages fast learning from failure and constructive feedback Recognition and celebration of contributions in a fun, engaging work environment