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
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
Working Location: Singapore
Syahirah Binte Ahmad Ja'afar (R22105331)
JAC Recruitment Pte. Ltd. (90C3026)
