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Salary
≈ $59k – $129k per year (Estimated)
Location
In office (Singapore)
Seniority
Senior
Employment
Contractor

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Feb 23, 2026. Xcellink Group scores D on the Alion truth index.

Overview
Company
Impact
Profile match
Xcellink Group is a Singapore professional services firm providing IT-focused recruitment, staff augmentation and ICT operations management, from data centre and network operations to IT security, helpdesk, field services and applications support. Established in 1993, it reports over SGD 150 million of operations management services delivered in a decade for global companies, local enterprises and government-linked corporations, and runs low-code development through its related entity XOME. It recruits network and system engineers, SOC analysts, IT support staff, ServiceNow and low-code developers, SAP consultants and delivery managers, many placed at client sites.

We are looking for AI Engineers to design and deliver intelligent, agent-based solutions powered by Large Language Models (LLMs) and modern AI frameworks. You will work closely with cross-functional teams to embed Generative AI into products and services, building scalable solutions that drive real business impact.

What You’ll Do

  • Design and build agent-based AI solutions using LLMs and advanced frameworks
  • Integrate Generative AI into production systems and business applications
  • Develop APIs and backend services using Python (FastAPI / Flask)
  • Deploy AI applications on Azure, AWS, or GCP using Docker, Kubernetes, and serverless technologies
  • Optimize prompts, fine-tune LLMs, and implement MLOps/LLMOps pipelines
  • Collaborate with product, engineering, and business teams in a fast-paced environment

Requirements

What You’ll Bring

  • Strong proficiency in Python, including asynchronous programming
  • Hands-on experience with Generative AI and LLM techniques (RAG, fine-tuning)
  • Experience designing agent workflows (ReAct, Chain-of-Thought, planning)
  • Familiarity with frameworks such as LangChain, LangGraph, Vertex AI, Claude SDK, or Microsoft Agent Framework
  • Experience with cloud platforms (Azure, AWS, or GCP) and containerization
  • Solid understanding of MLOps/LLMOps best practices
  • Strong communication and problem-solving skills

Experience Levels

  • Junior (1-2 years): Build agent tasks, develop and test prompts, support deployments
  • Mid-Level (3-5 years): Design workflows, optimize prompts, mentor junior engineers
  • Senior (5+ years): Architect multi-agent systems, define standards, lead large-scale deployments

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Scrum or Project Management certification is a plus
  • Immediate availability is advantageous
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