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Senior Full-Stack Engineer (Agentic AI Systems)

ETEAM WORKFORCE PTE. LTD.
Singapore · 10294 km · vor 0 Tagen
VollzeitVor OrtS$10’000–12’000/Mt.
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Gefragte Skills

Microsoft CRMRegulatory ComplianceAgent OrchestrationComputer ScienceWorkflow ManagementConversational AICustomer BillingFront-End Engineering and Design
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Stellenbeschreibung

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

Quelle: mycareersfuture.gov.sg. Für die Inhalte der Inserate übernehmen wir keine Haftung.

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