Senior Full Stack Engineer – GenAI & AI Agents
Employment Type: Full-time
Location: Tuas, Singapore
Work Environment: 3 days In-person, 2 days remote
Travel may be required to support client engagements and relationship development.
Please note that employer sponsorship (work pass) is not available for this position.
About the Role:
We are looking for an experienced Software Development Consultant to provide technical leadership and build modern software solutions involving full-stack development, distributed systems, cloud technologies, and Generative AI. This is a highly hands-on position. You will contribute directly to frontend and backend development while also supporting architecture decisions, code quality, engineering standards, technical proposals, mentoring, and client discussions. The ideal candidate has extensive full-stack development experience, practical experience building AI-powered applications and AI agents, and the ability to act as a trusted technical advisor to both clients and internal teams.
Key Responsibilities:
- Serve as a technical leader for modern software solutions involving Artificial Intelligence and distributed systems.
- Design, develop, and maintain robust full-stack applications.
- Make significant hands-on contributions to both frontend and scalable backend development.
- Lead and conduct code reviews to maintain high standards of quality, security, maintainability, and engineering excellence.
- Design, develop, and integrate AI-powered applications using frameworks such as LangChain, LangGraph, and cloud-based AI/ML services.
- Contribute to cloud-native, event-driven, microservices-based, and distributed software architectures.
- Design and develop RESTful and/or GraphQL APIs.
- Participate in the preparation of technical proposals and ensure proposed solutions are scalable, feasible, and aligned with business objectives.
- Act as a trusted technical advisor to clients and internal stakeholders.
- Identify opportunities for technical innovation and continuous improvement.
- Mentor team members and contribute through technical training, architecture discussions, and knowledge-sharing sessions.
- Help define and improve engineering standards, software development practices, and technical governance.
- Evaluate emerging technologies, particularly within the Generative AI ecosystem.
- Collaborate with technical and product leadership to deliver successful project outcomes and measurable business value.
Required Qualifications:
- Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or a related discipline.
- Fluent English communication skills, including the ability to work effectively with international teams and clients.
- Extensive experience in full-stack software development.
- Strong understanding of software architecture, design patterns, secure development, and engineering best practices.
Frontend Development
- Advanced experience with React.js and Next.js.
- Strong proficiency in TypeScript, HTML5, and CSS3.
- Experience with state management tools such as Redux, Zustand, or similar libraries.
Backend Development
Strong experience with at least one of the following backend technology groups:
- Node.js, including NestJS or Express; or
- Python, including FastAPI or Django.
Additional backend experience should include:
- Designing and developing RESTful and/or GraphQL APIs.
- Building microservices-based applications.
- Developing scalable and maintainable backend services.
Artificial Intelligence and AI Agents
- Hands-on experience working with Large Language Models.
- Experience designing or developing AI agents.
- Experience with LangChain, LangGraph, or comparable orchestration frameworks.
- Experience integrating OpenAI, Azure OpenAI, or equivalent AI platforms.
- Strong understanding of:
- Retrieval-Augmented Generation
- Embeddings
- Vector search
- AI pipelines
- LLM application integration
Cloud and DevOps
- Experience with AWS and/or Microsoft Azure.
- Experience with relevant services such as:
- AWS Lambda
- Amazon ECS
- Amazon S3
- Amazon API Gateway
- Azure Functions
- Azure App Service
- Experience containerizing applications with Docker.
- Experience building or maintaining CI/CD pipelines using GitHub Actions, Azure DevOps, or similar tools.
- Experience with Infrastructure as Code using Terraform, Bicep, AWS CloudFormation, or similar technologies.
- Experience with Kubernetes is an advantage.
Databases
- Experience working with relational databases such as PostgreSQL, MySQL, or Microsoft SQL Server.
- Experience with NoSQL, caching, or search technologies such as MongoDB, DynamoDB, Redis, or Elasticsearch.
Additional Skills:
- Proficiency with Git and modern source-code management practices.
- Experience working in Agile environments using Scrum, Kanban, or similar methodologies.
- Strong analytical, problem-solving, and technical communication skills.
- Ability to explain complex technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications:
- Experience designing and deploying Generative AI architectures in production.
- Knowledge of MLOps, model monitoring, AI evaluation, or AI observability.
- Experience with streaming platforms such as Apache Kafka, Azure Event Hubs, or Amazon Kinesis.
- Experience building highly available and highly scalable distributed systems.
- Previous consulting experience or experience working directly with enterprise clients.