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)