Senior Software Engineer (Singapore, Singapore)
Software Engineering
Singapore
An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say…“Hello BIG Possibilities”.
Singtel is where Technology meets Purpose.
We're building an AI-first telco for the future—connecting people, businesses and communities through trusted networks, intelligent digital services and next-generation technology.
From transforming everyday experiences in mobile, broadband, entertainment and lifestyle services to enabling enterprises with AI, 5G+, cloud, cybersecurity, data centres and digital platforms, we create the technology that powers how millions live, work and connect.
At Singtel, your work creates real impact. You'll solve meaningful challenges, shape critical digital infrastructure and help build secure, resilient and AI-enabled solutions that serve businesses, digital ecosystems and communities across the globe.
This is where BIG Possibilities become reality. Whether you're engineering intelligent networks, advancing sovereign AI cloud platforms, strengthening cybersecurity, designing seamless customer experiences or driving sustainable innovation, you'll be part of teams shaping the future of technology.
Backed by decades of expertise and driven by a culture of continuous learning and innovation, Singtel offers the scale, opportunities and support to help you grow your career while making a difference where it matters most.
Role Summary:
As an experienced Full-Stack AI Engineer, you will design, build, and deploy end-to-end, AI-native applications. You will own the entire feature lifecycle—from designing intuitive frontend user interfaces that handle streaming AI data, to building robust backend architectures, orchestrating complex LLM or agentic workflows, and managing vector databases and cloud infrastructure. You are a generalist with architectural breadth and deep specialization in applying AI to practical software challenges.
How You will Make An Impact:
1. Applied AI & Intelligent Orchestration
- Orchestration & Workflow Design: Build complex multi-agent frameworks, task routing systems, and Human-in-the-Loop (HITL) workflows using orchestration engines like LangChain or LangGraph.
- RAG & Vector Management: Architect high-performance Retrieval-Augmented Generation (RAG) pipelines. Design indexing strategies, chunking mechanisms, and hybrid search (semantic + keyword) utilizing vector databases.
- Model Integration & Optimization: Integrate state-of-the-art LLMs and foundational models via commercial APIs or self-hosted inference setups. Implement strategies to manage model latency, token constraints, context windows, and fallback mechanisms.
- Evaluation & Guardrails: Establish AI evaluation frameworks to test for hallucinations, drift, and accuracy. Implement prompt safety, structural validation, and robust guardrails to handle non-deterministic outputs safely.
2. Full-Stack Application Architecture
- Backend & API Engineering: Design high-concurrency, asynchronous backend services using Python (FastAPI) or Node.js/TypeScript. Develop robust RESTful APIs and optimize interactions using Model Context Protocol (MCP) systems where applicable.
- AI-Native Frontend Experiences: Build responsive, stateful UIs using React or Next.js. Implement streaming response interfaces (HTTP Stream), chat architectures, agentic UI interaction models, and intuitive data visualizations for complex model outputs.
- Data Management: Design relational schemas and manage transactional data workflows using databases like PostgreSQL, while pairing them seamlessly with unstructured data pipelines.
3. Infrastructure
- Containerization & Deployment: Package application layers using Docker
- Cloud Architecture: Architect scalable, secure, and cost-effective solutions across cloud ecosystems like AWS or Azure
- CI/CD & Observability: Build automated deployment and test pipelines (e.g., Bitbucket & Bamboo). Implement advanced logging, error tracing, and observability tooling to monitor both typical software failures and LLM costs/latencies.
Skills for Success:
- Minimum Bachelor Degree in Computer Science or equivalent.
- AI / LLM Frameworks: LangChain, LangGraph, OpenAI/Anthropic/Gemini APIs
- Vector Databases: pgvector (PostgreSQL), Azure AI Search
- Backend Engineering: Python (FastAPI), Node.js, Java, TypeScript, API Gateway
- Frontend Engineering: React, Next.js, State Management (Zustand/Redux), SSE/WebSockets
- Databases & Storage: PostgreSQL, Redis, AWS S3 / Cloud Storage
- DevOps & Cloud: AWS, Azure, Docker, CI/CD Monitoring ( OpenTelemetry)
Are you ready to say hello to BIG Possibilities?
Join Singtel to shape what's next and accelerate your career through meaningful work, continuous learning, and real impact.
