We’re Hiring: AI Engineer (Agentic AI & RAG Solutions)

Join a forward-thinking team building next-generation AI solutions in the procurement domain. This role offers the opportunity to work on cutting-edge Agentic AI systems, leveraging large language models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native technologies to deliver impactful, scalable AI applications.

Job Highlights

Work Location: Depot Road (109679)
Working Arrangement: 5 Days Work From Office (Office Hours)
Employment Type: 2-Year Contract
Salary: Up to SGD 7,000 + AWS + Performance Bonus + Loyalty Bonus
Technical Assessment: Required

🧩 Key Responsibilities

AI Engineering & Architecture

• Design and develop scalable, secure, and efficient data ingestion pipelines on AWS in collaboration with business stakeholders.
• Build and optimize AI-driven architectures including vector databases, embedding pipelines, and Retrieval-Augmented Generation (RAG) systems.
• Develop agentic AI workflows using AWS-native and serverless technologies.

Model Development & Optimization

• Apply strong algorithmic and analytical skills to enhance data processing, retrieval efficiency, and model inference performance.
• Ensure clean, reusable, and well-documented code for AI applications.

AI Governance & Reliability

• Implement AI evaluation metrics, monitoring frameworks, and guardrails to ensure reliability and responsible AI deployment.
• Ensure compliance with data governance, security policies, and regulatory standards.

Testing & Quality Assurance

• Perform unit, integration, and end-to-end testing to ensure system robustness and accuracy.

Collaboration & Agile Practices

• Work closely within Agile teams, actively participating in sprint planning, daily stand-ups, and retrospectives.

✅ Who We’re Looking For

• Bachelor’s Degree in Computer Science, Engineering, or related discipline (or equivalent practical experience).
• Minimum 3 years of experience working with LLMs and agentic AI workflows.

🔧 Required Skills

• Strong proficiency in Python for AI, machine learning, and data engineering use cases.
• Hands-on experience with AWS AI services (minimum 1 year).
• Proven experience designing and implementing RAG pipelines, vector stores, and embedding models.
• Solid understanding of data engineering principles, distributed systems, and cloud-native architectures.
• Familiarity with CI/CD pipelines and Agile development practices in AWS environments.

📩 How to Apply

Apply via MyCareersFuture. Only shortlisted candidates will be contacted.

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Internal Ref: ID – JO 28643
EA License: 05C3053