AI Developer (Government Project)

About the role

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. 🔒 Data Privacy Notice By submitting your resume or personal data, you consent to the collection, use, and disclosure of your personal data for evaluating your suitability for job opportunities and recruitment services. You acknowledge that you have read and agreed to the applicable Privacy Policy for Job Applicants. Internal Ref: ID - JO 28643 EA License: 05C3053

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