Job is active

Senior Full-Stack Engineer (Agentic AI Systems)

10 000 – 12 000 $
Full time6+ yearsOn-siteSingapore

Location

ROBINSON ROAD, OXLEY TOWER

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About this job

About the Role

We are looking for a Senior Full-Stack Engineer who is highly technical, product-focused, and comfortable navigating architectural ambiguity.

You will be responsible for building user-facing digital applications, engineering integration interfaces, and developing multi-agent orchestration layers. Working alongside Senior Platform Engineers, you will translate advanced data science pipelines and machine learning guardrails into highly responsive, enterprise-grade digital experiences.

Requirements

Experience

  • 8 – 12 years of full-stack software development experience within enterprise environments, digital product labs, or technology consulting firms.
  • Experience delivering enterprise-grade digital products and scalable application architectures.
  • Experience working within regulated industries such as FinTech, InsurTech, HealthTech, or similar environments is advantageous.

Education

Bachelor's Degree in:

  • Computer Science
  • Information Technology
  • Software Engineering
  • Computer Engineering

Also Acceptable / Related Fields

  • Electronics & Communication Engineering
  • Electrical Engineering (with IT/Systems exposure)
  • Cybersecurity / Information SecurityNetwork Engineering / Telecommunications

Key Responsibilities

1. Backend Engineering & Multi-Agent Orchestration

  • Develop and maintain AI-powered microservices for specialized business workflows.
  • Engineer and manage multi-agent orchestration layers to coordinate user intents and agent interactions.
  • Design secure API and integration layers connecting AI services with enterprise systems such as CRM, Billing, and Claims platforms.
  • Ensure reliable state management and workflow synchronization across distributed systems.

2. Frontend Engineering & Conversational UX

  • Develop responsive and accessible web applications optimized for conversational AI experiences.
  • Implement streaming technologies such as Server-Sent Events (SSE) and WebSockets.
  • Build human-in-the-loop workflows and operational dashboards to support escalation processes.
  • Deliver high-performance user experiences with modern frontend frameworks.

3. AI Platform Security, Guardrails & Observability

  • Implement application-level guardrails, including input/output validation and sensitive data filtering.
  • Build observability and tracing mechanisms to monitor agent behavior and system performance.
  • Ensure secure machine-to-machine communication and identity management.
  • Support compliance and audit requirements through traceability and logging.

4. Delivery & CI/CD Excellence

  • Develop automated testing frameworks for both code and AI agent behaviors.
  • Support CI/CD pipelines and deployment automation.
  • Maintain application consistency and stability across development, testing, staging, and production environments.
  • Partner with platform, DevOps, and engineering teams to improve software delivery processes.

Technical Skillset Requirements

Programming Languages

  • Strong proficiency in Python (FastAPI, Flask)
  • Experience with Java or Node.js
  • Experience developing enterprise-scale microservices

Frontend Technologies

  • React.js
  • Next.js
  • Angular
  • State management and performance optimization techniques

AI & Orchestration Frameworks

  • LangChain
  • LangGraph
  • AutoGen
  • AWS Bedrock Agents
  • AWS Step Functions

Databases & Vector Technologies

  • PostgreSQL
  • DynamoDB
  • OpenSearch
  • pgvector
  • Pinecone
  • SQL and NoSQL databases

Cloud & Infrastructure

  • AWS ECS
  • AWS EKS
  • AWS Lambda
  • AWS API Gateway

Tools

  • Bitbucket
  • Git
  • Jira
  • Confluence
  • CI/CD Pipelines

Preferred Experience

  • Experience building AI-powered or agentic systems.
  • Experience integrating machine learning and AI platforms into enterprise applications.
  • Strong understanding of security, compliance, and governance requirements.
  • Experience collaborating with Data Scientists, Platform Engineers, and DevOps teams.
  • Strong problem-solving and architectural design capabilities.

Core Skills & Expertise

  • Full-Stack Software Development
  • Agentic AI Systems
  • Multi-Agent Orchestration
  • Python Development
  • Java / Node.js Development
  • React.js / Next.js / Angular
  • API Design & Integration
  • AWS Cloud Services
  • CI/CD & DevOps
  • AI Security & Guardrails
  • Conversational User Experience
  • System Observability & Monitoring
  • Enterprise Application Architecture
  • Stakeholder Collaboration
  • Agile Development Methodologies

Market insight

129% above median
4 800 $

Based on 76 948 offers with salary for this country

Full salary breakdown

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