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Xcellink Pte Ltd

Senior AI Engineer

LocationSingapore, Singapore, Singapore
Typecontract
SenioritySenior
Experience5+ yrs
Company size1,001–5,000 people
First seenOct 6, 2026 · 5d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have8
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
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Nice to have1
Scrum or Project Management certification is a plus
Eligibility1
Immediate availability is advantageous
Skills
Python
FastAPI
Flask
Azure
AWS
GCP
Docker
Kubernetes
LLMs
LangChain
LangGraph
Vertex AI
Claude SDK
Microsoft Agent Framework
About the role
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
Nice to have
•
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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