Senior Full-Stack Engineer (Agentic AI Systems)

eteam workforce pte. ltd.; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

eteam workforce pte. ltd. is seeking a Senior Full-Stack Engineer to build enterprise-grade digital experiences, orchestrate AI agents, and deliver secure, scalable architectures.

You will translate data science pipelines into robust applications and collaborate with platform engineers to enable reliable, end-to-end workflows. The role emphasizes backend microservices, secure API design, and frontend experiences with modern frameworks.

Qualifications

• 8–12 years of full-stack software development experience in enterprise environments.
• Experience delivering enterprise-grade digital products and scalable architectures.
• Experience in regulated industries (FinTech/InsurTech/HealthTech) advantageous.

Responsibilities

• Develop and maintain AI-powered microservices for specialized workflows.
• Engineer multi-agent orchestration layers to coordinate intents and interactions.
• Design secure API and integration layers connecting AI services with enterprise systems.
• Ensure reliable state management across distributed systems.
• Develop responsive web apps optimized for conversational AI experiences.
• Implement SSE and WebSockets streaming.
• Build human-in-the-loop workflows and dashboards.
• Deliver high-performance frontend experiences.
• Implement application-level guardrails and data filtering.
• Build observability and tracing for agent behavior and system performance.
• Ensure secure machine-to-machine communication and identity management.
• Support compliance and audit requirements through traceability and logging.
• Develop automated testing frameworks for code and AI agent behaviors.
• Support CI/CD pipelines and deployment automation.
• Maintain application consistency across dev/staging/production.
• Partner with platform, DevOps, and engineering teams to improve software delivery processes.

Skills

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 UX

Education

Bachelor's Degree in Computer Science

Bachelor's Degree in Information Technology

Bachelor's Degree in Software Engineering

Bachelor's Degree in Computer Engineering

Electronics & Communication Engineering

Electrical Engineering (IT/Systems exposure)

Cybersecurity / Information Security

Tools

Bitbucket

Git

Jira

Confluence

CI/CD Pipelines

Job description

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