3 months ago
Singapore, SingaporeSenior
Responsibilities
- Partner with clients to understand business challenges and translate them into scalable technology solutions.
- Design, build, and deploy production-grade applications using AI, data, and cloud technologies.
- Work with client stakeholders, product teams, AI engineers, data scientists, and solution architects to deliver end-to-end solutions.
- Rapidly prototype, iterate, and productionise solutions based on user feedback and evolving requirements.
- Serve as a trusted technical advisor bridging business needs and technical implementation.
- Continuously build technical, consulting, and domain expertise.
Requirements
- Strong software engineering fundamentals and experience building scalable, production-grade applications.
- Proficiency in Python and modern backend frameworks such as FastAPI, Flask, Django, or Node.js.
- Experience developing APIs, microservices, and cloud-native applications.
- Experience deploying applications on AWS, Azure, or Google Cloud Platform.
- Familiarity with Docker, Kubernetes, Terraform, Helm, and CI/CD pipelines.
- Understanding of scalability, reliability, and distributed systems.
- Experience integrating AI, generative AI, or machine learning capabilities into business applications.
- Familiarity with OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI, LangChain, or LangGraph is advantageous.
- Ability to collaborate with AI Engineers and Data Scientists to productionise AI solutions.
- Strong problem-solving, stakeholder management, communication, ownership, and client engagement skills.
- Familiarity with frontend technologies such as React, Angular, or Vue.js is advantageous.
Tech Stack
AngularAWSAzureDjangoDockerFastAPIFlaskGoogle Cloud PlatformHelmKubernetesNode.jsPythonReactTerraformVue.js
Categories
Forward Deployed
