Senior Engineer (AI)

Role: • Design and maintain scalable, secure, efficient data ingestion pipelines on AWS with business stakeholders. • Design and maintain vector stores, embedding pipelines, and RAG architecture on AWS for AI-powered applications. • Write and maintain clean, reusable, well-documented code for agentic workflows using AWS-native services and serverless architecture. • Develop and maintain AI evaluation metrics and guardrails for AWS deployment • Conduct unit, integration, and end-to-end testing to ensure correctness and reliability. • Apply algorithmic expertise to optimise data processing, retrieval, and inference workflows for performance and accuracy. • Ensure compliance with data governance, security standards, and regulatory requirements. • Participate in agile cycles: sprint planning, daily stand-ups, and retrospectives.

Requirements: • Degree in Computer Science, Engineering, or related field, or equivalent practical experience. • Minimum 1 to 2 years working experience in LLM and Agentic AI workflows. • Experience with data ingestion pipelines for RAG. • Proficiency in Python. • Minimum 1 year hands-on experience with AWS AI Services. • Experience in agile environments with CI/CD pipelines on AWS. • Freshers with a strong academic background may also be considered. • Must be able to obtain security clearance due to project sensitivity.

To apply: Please send your latest CV in MS Word format to [email protected] Appreciate the interest of all applicants; however only shortlisted candidates will be notified.

EA Licence No: 20S0237