Full-Stack AI Engineer: Real-Time Intelligent Workflows

TechKnowledgey Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TechKnowledgey Pte Ltd is seeking a Full Stack Engineer - AI to design and build production-grade workflows that translate core intelligence into usable features. You will connect frontend interfaces with backend services, integrating AI inference pipelines and memory layers to deliver reliable user experiences.

You will collaborate with ML, backend, and product teams to ship high-impact features, focusing on scalable architecture, low-latency interfaces, and robust monitoring and recovery

Qualifications

• Experience building full-stack features across modern frontend and backend.
• Solid understanding of scalable system design and robust API architecture.
• Hands-on experience with large language models, RAG, or AI-powered products.
• Able to navigate ambiguity and make pragmatic engineering tradeoffs.
• Proven ownership from concept to production deployment.

Responsibilities

• End-to-End Product Engineering: Architect and build features across the stack.
• Agent Workflow Design: Create agent workflows with multi-step planning and recovery.
• LLM & Tool Integration: Integrate LLMs and external tools into production systems.
• Real-Time AI Interaction: Build interfaces with streaming responses and low latency.
• Reliability & Observability: Improve monitoring, fallback, and reliability.

Skills

Full stack

System architecture

AI/LLM experience

Decision making

Ownership execution

Tools

Kubernetes

Docker

Next.js

PyTorch

OpenAI API

Anthropic API

SQL/NoSQL

Open-Source LLMs

Job description

TechKnowledgey Pte Ltd is seeking a Full Stack Engineer - AI to design and build production-grade workflows that translate core intelligence into usable features. You will connect frontend interfaces with backend services, integrating AI inference pipelines and memory layers to deliver reliable user experiences.

You will collaborate with ML, backend, and product teams to ship high-impact features, focusing on scalable architecture, low-latency interfaces, and robust monitoring and recovery