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)