Senior AI Engineer
On-site Singapore Contract Senior AI Engineering
At a glance
Senior AI Engineering role at Xcellink Pte Ltd. Singapore · contract.
Pay not stated AI Engineer salary
RoleAI Engineering
SenioritySenior
LocationSingapore
WorkplaceOn-site
EmploymentContract
PostedFeb 23, 2026 · 8mo ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build LLM-based agents, then connect generative AI features to live systems and business applications
- Create Python APIs and backend services with FastAPI or Flask
- Run AI applications on Azure, AWS or GCP using containers, Kubernetes or serverless services
- Improve prompts, tune language models and put MLOps or LLMOps workflows in place
- Set technical direction for multi-agent systems, establish standards and lead major deployments
What you bring
- At least five years of experience for the senior level, including architecture and large-scale deployment work
- Strong Python skills, including writing asynchronous code
- Practical work with generative AI, retrieval-augmented generation, model tuning and agent workflow design
- A degree in computer science, engineering or a related discipline
Who this fits
This is a senior, hands-on engineering contract based onsite in Singapore. You’ll suit work that combines agent architecture, implementation and deployment leadership.
From the employer
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