Ai Applications Engineer

About the role

Our client is looking for an AI Application Engineer to drive the design, development, and implementation of enterprise AI solutions. This role is ideal for a hands-on technical professional with strong experience in Generative AI, Agentic AI, Large Language Models (LLMs), and cloud-based application development. The successful candidate will be responsible for delivering end-to-end AI applications, collaborating with stakeholders to define use cases, and developing proof-of-concepts that demonstrate business value and technical feasibility.

Key responsibilities

• Build and deploy AI-driven applications using Generative AI and LLM technologies.
• Develop scalable end-to-end solutions across frontend, backend, APIs, and enterprise integrations.
• Design and implement agent-based AI solutions, including multi-agent workflows and intelligent automation capabilities.
• Integrate AI applications with enterprise data sources, business platforms, and external services.
• Develop solutions leveraging RAG architectures, embeddings, vector databases, and AI search technologies.
• Ensure solutions are secure, scalable, and aligned with cloud-native architecture best practices.
• Stay updated with emerging AI technologies and recommend innovative approaches where relevant.
• Partner with stakeholders to understand business challenges and convert requirements into AI-enabled solutions.
• Develop prototypes and proof-of-concepts to validate AI use cases and technical approaches.
• Contribute to proposals and presentations by articulating solution benefits, architecture, and implementation methodology.

About you

• Degree in Computer Science, Engineering, Information Technology, Data Science, or a related discipline.
• At least 3 years of experience in software engineering, AI/ML development, or a related technical role.
• Strong experience with Generative AI, Agentic AI, and Large Language Models (LLMs).
• Proficiency in Python and JavaScript/TypeScript.
• Hands-on experience with frameworks such as React, FastAPI, and/or Flask.
• Strong knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, vector databases and vector search, and AI search solutions.
• Experience working with AI agent frameworks, intelligent automation platforms, and multi-agent orchestration.
• Familiarity with LangChain, Semantic Kernel, or similar AI development frameworks.
• Experience with cloud platforms including Microsoft Azure, AWS, or GCP.
• Understanding of containerisation, DevOps practices, and CI/CD pipelines.

Jaspreet Kaur Sran (R22109724)

JAC Recruitment Pte. Ltd. (90C3026)