Senior AI Engineer

Xcellink Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Xcellink Pte Ltd in Singapore is seeking AI Engineers to design agent-based solutions powered by LLMs and modern AI frameworks, collaborating with cross-functional teams to embed Generative AI into products.

You will design and build agent-based AI solutions, integrate Generative AI into production systems, and develop APIs with Python (FastAPI/Flask). You will deploy on cloud platforms using Docker and Kubernetes, and advance MLOps practices in a fast-paced environment.

Qualifications

• Proficient in Python with async 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.

Responsibilities

• 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.

Skills

Python

Generative AI / LLMs

Agent workflows (ReAct / planning)

Cloud platforms (Azure, AWS, GCP)

MLOps/LLMOps

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

LangChain

LangGraph

Vertex AI

Claude SDK

Microsoft Agent Framework

Docker

Kubernetes

Job description

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