AI Engineer (RAG and Agentic AI)
About this job
AI and Data Engineer
Job Responsibilities:
AI & Data Engineering
- Design and maintain scalable, secure and efficient data ingestion pipelines on AWS by collaborating with business stakeholders
- Design and maintain vector stores, embedding pipelines, and RAG architecture on AWS for AI-powered applications
- Write and maintain clean, reusable and well-documented code for agentic workflows using AWS-native services and serverless architecture
- Develop and maintain AI evaluation metrics and guardrails on AWS deployment
- Conduct thorough testing, including unit, integration, and end-to-end testing, to ensure correctness and reliability.
- Apply strong algorithmic expertise to optimise and evaluate data processing, retrieval, and inference workflows, ensuring high performance and accuracy in AI systems.
- Ensure compliance with data governance, security standards, and regulatory requirements
- Participate in agile development cycles, including sprint planning, daily stand-ups, and retrospectives
Job Requirements:
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)
- Minimum of 3 years of working experience in LLM and Agentic AI workflows
- Proficiency in Python with 1 year of hands-on exposure with AWS AI Services
- Experience working in agile environments with CI/CD pipelines on AWS
Other Information
- Employment type: Permanent
- Location: Central Region, Singapore
- Working Hours: 8:30AM to 6:00PM (Mon-Fri)
- Salary: $5,000 - $7,000 (comes with bonuses)
- Working Arrangement: Full Onsite
- Application process: Technical Test and Interview
EA 20S0237
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The employer lists 5 000 – 7 000 $ for this role at ZENITH INFOTECH (S) PTE LTD. in Singapore. For comparison, the local market median is about 6 085 $ based on 26 065 similar offers.
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