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)