Senior Software Engineer

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.

Make An Impact By

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.

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 ( 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.

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

Technical Skill Matrix

Category: Core Skills & Technologies

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

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!