Software Engineer (AI Systems)

Company Overview

The client is an innovative AI Fintech company on a mission to transform how people work by creating proactive digital assistants that do more than just respond to prompts. By combining AI reasoning, long-term context, and automation, they help users complete everyday tasks faster, smarter, and with less manual effort.

We are hiring across several engineering roles. While the day-to-day responsibilities may differ depending on team placement and seniority, these positions share a highly overlapping technology stack and require a common foundation in modern software engineering, AI systems, backend development, machine learning, and production infrastructure.

Job Responsibilities

AI Product Development

Design, build, and deploy AI-powered product features.
Integrate LLMs, memory systems, vector databases, and external tools into production applications.
Design agent workflows capable of planning, tool usage, failure handling, and recovery.
Transform raw model outputs into structured, reliable, and predictable user experiences.

Backend & Platform Engineering

Build and maintain backend services, APIs, and orchestration layers supporting AI features.
Develop scalable inference pipelines and service architectures.
Optimize latency, throughput, caching, batching, and streaming workloads.
Design robust monitoring, logging, alerting, and observability systems.

Machine Learning & Applied AI

Train, evaluate, fine-tune, and deploy machine learning models.
Develop evaluation frameworks to measure model and system performance.
Improve model reliability, accuracy, and production effectiveness through continuous iteration.
Debug model failures and production issues using real-world data and feedback.

Production Operations

Ensure reliability, scalability, and availability of AI systems in production.
Build fallback and recovery mechanisms for model and tool failures.
Monitor system health, troubleshoot incidents, and improve operational excellence.
Balance performance, cost, security, and user experience.

Cross-Functional Collaboration

Work closely with Product, Engineering, and AI teams to translate ambiguous requirements into working solutions.
Contribute to technical decision-making, architecture reviews, and engineering best practices.
Mentor team members and promote high engineering standards where appropriate.

Job Requirements

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
3+ years of experience in Software Engineering, Backend Engineering, Machine Learning Engineering, Applied AI, or related technical roles.
Strong programming skills in Python.
Experience building and deploying production systems.
Understanding of API design, distributed systems, and system architecture.
Experience working with SQL and/or NoSQL databases.
Familiarity with Docker, Kubernetes, and cloud-native environments.

TECHNOLOGY STACK

Languages

Python
Node.js

AI & Machine Learning

OpenAI
Anthropic
Open-source LLMs
PyTorch
JAX
Vector Databases

Backend & Infrastructure

SQL / NoSQL
Docker
Kubernetes
AI Inference Platforms (vLLM and related serving technologies)

Frontend

Next.js

Working Location: Singapore

Syahirah Binte Ahmad Ja'afar (R22105331)

JAC Recruitment Pte. Ltd. (90C3026)