Senior GenAI & AI Agents Full-Stack Engineer

OttoMate

Singapore

On-site

SGD 120,000 - 180,000

Full time

2 days ago
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Job summary

OttoMate in Singapore is seeking a Senior Full Stack Engineer to lead GenAI and AI Agents initiatives. This highly hands‑on role combines frontend and backend development with architecture guidance, code quality, and mentoring for a distributed team and client engagements.

The ideal candidate will design RESTful/GraphQL APIs, build scalable microservices, integrate LangChain/LangGraph, and deploy on AWS/Azure. Strong communication and adaptability to work with international clients are essential.

Qualifications

  • Bachelor's degree in computer science or related field.
  • Fluent English with international teams.
  • Strong software architecture, secure development practices.

Responsibilities

  • Lead modern software solutions involving AI and distributed systems.
  • Design, develop, and maintain robust full‑stack applications.
  • Hands‑on frontend and backend contributions with emphasis on quality and security.
  • Mentor team members, conduct code reviews, and uphold engineering standards.
  • Contribute to technical proposals and ensure scalable, business-aligned solutions.

Skills

React.js
Next.js
TypeScript
HTML5
CSS3
Redux
Zustand
OpenAI
LangChain
LangGraph
RESTful APIs
GraphQL
AWS
Azure
Docker
Kubernetes
CI/CD
Terraform
PostgreSQL
MySQL
Microservices

Education

Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or a related discipline

Tools

LangChain
LangGraph
OpenAI
Git
GitHub Actions
Azure DevOps
Docker
Kubernetes
Terraform
AWS Lambda
ECS
S3
API Gateway
PostgreSQL
Redis
Elasticsearch

Job description

OttoMate in Singapore is seeking a Senior Full Stack Engineer to lead GenAI and AI Agents initiatives. This highly hands‑on role combines frontend and backend development with architecture guidance, code quality, and mentoring for a distributed team and client engagements.

The ideal candidate will design RESTful/GraphQL APIs, build scalable microservices, integrate LangChain/LangGraph, and deploy on AWS/Azure. Strong communication and adaptability to work with international clients are essential.

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