AI Engineer - AWS Bedrock

About Us

Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible

Job Description

The Mid-Senior Applied AI Engineer is responsible for designing, developing, and deploying scalable artificial intelligence solutions within an enterprise AI platform.

Moving beyond basic implementation, this role requires architectural thinking to build robust GenAI services, complex retrieval pipelines (RAG), and agentic workflows.

The engineer will partner closely with AI Program Management, Data & Analytics, and business stakeholders to translate validated business requirements into secure, production-ready AI applications.

Requirements

• Strong hands-on experience in Generative AI, LLMs, Agentic AI, NLP, and AI workflow development using Amazon Bedrock
• Expertise in building RAG-based AI solutions with Amazon Bedrock Knowledge Bases, embeddings, vector retrieval, grounding, and citation strategies
• Experience developing intelligent document processing solutions using Amazon Textract, OCR workflows, summarization, classification, extraction, and business Q&A systems
• Proficient in prompt engineering, AI guardrails, hallucination mitigation, responsible AI practices, and implementing human-in-the-loop AI workflows
• Strong Python programming skills with experience integrating AI solutions using AWS services such as Lambda, S3, Step Functions, EventBridge, SQS, IAM, Secrets Manager, and CloudWatch

Interested candidates, please share your updated resume email [email protected]