Full Time Full Stack Engineer, AI Jobs, Salary up to SGD 15,000 in TechKnowledgey Pte Ltd Central Region (Singapore) - Maukerja

We are seeking a

Full Stack Engineer - AI

to build the product layer that translates core intelligence capabilities into usable, production-grade workflows. This role encompasses designing how autonomous agents operate, handle failures, execute recovery sequences, and deliver consistent, dependable value to users across every interaction.

You will engineer end-to-end product features spanning frontend interfaces, backend orchestration services, and deep AI integrations, ensuring seamless operation under real-world conditions.

Core Responsibilities

End-to-End Product Engineering: Architect and build robust features across the entire stack, connecting modern frontend clients with backend services and AI inference pipelines.

Agent Workflow Design: Design sophisticated agent workflows capable of managing multi-step planning, tool utilization, failure detection, and automated recovery across sessions.

LLM & Tool Integration: Integrate large language models, persistent memory layers, and external software tools into cohesive systems that behave reliably in production.

Real-Time AI Interaction: Build responsive, real-time user interfaces supporting streaming responses, partial results, and strict latency constraints.

Reliability & Observability: Continuously improve system reliability, monitoring, observability, and fallback mechanisms for non-deterministic model components.

Cross-Functional Collaboration: Partner closely with machine learning, backend, and product teams to ship high-impact features seamlessly.

Ideal Experience & Background

Full Stack Proficiency: Strong, demonstrated experience in full-stack engineering across modern frontend and backend frameworks.

System Architecture: Solid understanding of scalable system design, distributed patterns, and robust API architecture.

AI & LLM Application Experience: Practical experience working with large language models, retrieval-augmented generation (RAG) systems, or AI-powered product applications.

Pragmatic Decision-Making: Demonstrated ability to navigate ambiguity, exercise strong technical judgment, and make pragmatic engineering tradeoffs.

Ownership & Execution: Strong sense of ownership with a proven track record of taking complex features from initial concept through to production deployment.

Technical Stack

Frontend: Next.js

Languages: Python, Node.js

Machine Learning & Frameworks: PyTorch, OpenAI API, Anthropic API, Open-Source LLMs

Data Stores: SQL and NoSQL database systems

Infrastructure & Orchestration: Kubernetes, Docker
HackerTrail is an award-winning hr tech and solutions company that is changing the status quo on recruitment. The recruitment industry is ripe with issues and old school ways of doing things, and we're disrupting this industry using our proprietary technology. We are a funded startup with talented team of 20+ people in 2 cities, and have served over 170 clients in 6 cities.

We have two flagship products:
1. Scout: an AI-powered canddate sourcing engine (*************)

2. Litmus: a gamified tech assessment engine (*************)

We also run a recruitment consultancy business which is widely recognized in Singapore as being one of the best in its category. (*************)

This is an opportunity to join a fast-paced company serving top tier clientele in multiple markets. Learn more about our team here: *************