Job Summary
We are looking for a highly skilled AI Engineer with expertise in Generative AI, Large Language Models (LLMs), AI Search, and Agentic AI to design and deliver enterprise-grade AI solutions. The ideal candidate should have hands-on experience in developing intelligent applications using modern AI frameworks, implementing Retrieval-Augmented Generation (RAG) pipelines, and deploying scalable AI solutions on cloud platforms. This role requires strong Python development skills, cloud expertise, and the ability to translate business requirements into innovative AI-driven solutions.
Key Responsibilities
- Design, develop, and deploy end-to-end AI solutions from data preparation to production deployment.
- Build intelligent applications using Agentic AI platforms such as CrewAI, Azure AI Foundry, and Google Agent Space / Vertex AI.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines using semantic search and vector database technologies.
- Develop production-quality applications, APIs, and AI services using Python.
- Integrate Large Language Models (LLMs) with enterprise systems and business workflows.
- Collaborate with business stakeholders, architects, and cross-functional teams to deliver scalable AI solutions.
- Optimize AI applications for performance, reliability, scalability, and security.
- Prepare technical documentation and support deployment and production activities.
- Stay updated with the latest advancements in Generative AI, AI Search, and Agentic AI technologies.
Required Skills
- 4–6 years of experience in software development with strong expertise in Python.
- Minimum 2 years of hands-on experience in Generative AI and Machine Learning technologies.
- Strong understanding of Large Language Models (LLMs), prompt engineering, and AI application development.
- Experience with Generative AI platforms such as CrewAI, Azure OpenAI, Azure AI Foundry, Google Vertex AI, or Google Agent Space.
- Hands-on experience in designing and implementing RAG architectures.
- Strong understanding of semantic search, embeddings, vector databases, and AI Search technologies.
- Experience developing RESTful APIs and integrating AI models into enterprise applications.
- Knowledge of cloud platforms such as Microsoft Azure and Google Cloud Platform (GCP).
- Strong analytical, debugging, and problem-solving skills.
Preferred Skills
- Experience in building AI Agents and autonomous workflows.
- Exposure to MLOps, model deployment, and AI lifecycle management.
- Experience with AWS cloud services is an added advantage.
- Familiarity with CI/CD pipelines, Docker, and Kubernetes.
- Knowledge of the Energy, Utilities, or Critical Infrastructure domain is a plus.
Qualification
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
- Advanced certifications in Generative AI, Azure AI, Google Cloud AI, or Machine Learning are an added advantage.
About Company
Our client is a global leader in content-technology, data, and knowledge services, headquartered in Singapore, with a talent pool of over 15,000 professionals across multiple countries. They partner with leading enterprises in education technology, publishing, research, financial services, and logistics to transform raw information into meaningful insights and AI-driven solutions. The company is recognised
