Full Stack Engineer

Position Summary We are seeking a Full Stack Software Engineer with strong experience in cloud-native development, API design, and DevOps practices. The ideal candidate will also have experience building AI-enabled applications , including LLM integrations , Retrieval Augmented Generation (RAG) architectures, and vector-based knowledge systems. This role will contribute to the development of next-generation intelligent applications by integrating modern AI services, cloud platforms, and scalable backend systems while leveraging AI-assisted development tools and cloud-native architectures. Key Responsibilities Full Stack Application Development Design and develop scalable full-stack applications using modern frontend frameworks and backend technologies. Develop responsive UI components and integrate them with backend services and APIs. Implement secure, maintainable, and high-performance application code. API & Cloud-Native Development Develop RESTful or GraphQL APIs to support application functionality and external integrations. Build and deploy applications on AWS and Azure cloud platforms . Design microservices-based architectures to support scalable enterprise applications. AI-Enabled Application Development Develop and integrate AI-driven capabilities into applications using modern AI frameworks and cloud services. Integrate large language models (LLMs) to enable conversational interfaces, intelligent automation, and knowledge discovery features. Design and implement Retrieval Augmented Generation (RAG) architectures to enhance AI responses with enterprise knowledge sources. Agentic AI & Intelligent Workflows Design and develop agent-based AI workflows that can autonomously perform tasks, orchestrate services, and support decision-making processes. Implement AI agents capable of interacting with APIs, databases, and enterprise systems. Support development of multi-step reasoning workflows and automation powered by LLMs. Vector Databases & Knowledge Retrieval Implement vector-based search and semantic retrieval systems for AI-enabled applications. Work with vector databases such as Pinecone, Weaviate, OpenSearch vector search, or similar platforms. Design pipelines for embedding generation, indexing, and semantic search . AI-Assisted Development Tools Utilize and evaluate AI-powered developer productivity tools , including: GitHub Copilot Claude Code Cline Amazon Q Developer AWS CodeWhisperer Contribute to evaluation and adoption of modern AI development tooling and engineering productivity platforms. DevOps & CI/CD Implement and maintain CI/CD pipelines to automate build, testing, and deployment. Work with DevOps teams to ensure reliable deployments , monitoring, and performance optimization. Support infrastructure automation using cloud-native DevOps tools. Technology Evaluation & Innovation Participate in technical evaluations, proofs-of-concept, and technology assessments for emerging tools and platforms. Contribute to engineering standards, architecture guidelines, and development best practices. Stay current with evolving AI, cloud, and developer productivity technologies . Required Qualifications Bachelor’s degree in computer science, Engineering, or related field. 7+ years of experience in full-stack software development. Experience with modern frontend frameworks (React, Angular, or Vue.js). Backend development experience with Node.js, Java, Python, or similar technologies. Experience designing and developing REST APIs and microservices. Experience with AI-assisted and agentic AI development tools, such as GitHub Copilot, Amazon CodeWhisperer, Cline, Claude Code, or similar solutions. Hands-on experience with AWS and/or Azure cloud platforms. Experience with CI/CD pipelines and DevOps practices. Preferred Qualifications Experience integrating LLM-based applications. Experience designing RAG-based architectures. Familiarity with vector databases and semantic search technologies. Experience working with AWS AI/ML services such as SageMaker, Bedrock, or Amazon Q Developer. Knowledge of container technologies (Docker, Kubernetes).