Senior/AI Engineer
Summary
Designs and maintains AI-powered data pipelines and retrieval systems on AWS, focusing on vector stores, RAG architectures, and agentic workflows for secure applications.
Job: AI & Data Engineering
Role:
• 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.
Requirements:
• Degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• Has working experience in LLM and Agentic AI workflows.
• Has some experience working on data ingestion pipelines for RAG.
• Has experience on building agentic workflows is a plus.
• Has 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.
• This role will need to secure a clearance, due to the sensitivity of the project.
To apply:
Please send your latest CV in MS Word format to jennifer@zenithinfotech.com.sg
Appreciate the interest of all applicants; however only shortlisted candidates will be notified.
EA Licence No: 20S0237