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