Location : Chennai

Years of Experience : 4-6 Years

Work Mode : WFO

Notice period : Immediate Joiner

Design develop and deploy Generative AI applications using AWS Bedrock Claude Titan

Llama etc

Build end to end AI pipelines including prompt engineering RAG Retrieval Augmented

Generation fine tuning and inference optimization

Integrate Bedrock models with AWS services such as Lambda API Gateway S3

DynamoDB OpenSearch and Step Functions

Implement scalable secure and cost optimized AI architectures on AWS

Develop and maintain vector databases and embeddings for semantic search and

knowledge retrieval (OpenSearch, Pinecone, FAISS, Weaviate, etc.)

Monitor model performance latency and cost apply optimization strategies

Ensure data privacy security and compliance when handling sensitive data

Collaborate with product managers backend engineers and data scientists to translate

business requirements into AI driven solutions

Stay current with advancements in generative AI LLMs and AWS AIML services

Required Skills Qualifications

4 to 6 years of experience in #AIML engineering or cloud based ML solutions

Strong hands on experience with #AWS #Bedrock and foundation models

Proficiency in Python primary with experience in MLAI frameworks

Solid understanding of LLMs prompt engineering embeddings and RAG patterns

Experience with AWS services S3 Lambda IAM Cloud Watch API Gateway OpenSearch

Knowledge of REST APIs microservices and cloud native design patterns

Experience deploying ML models in production environments

Strong problem solving skills and ability to work independently

Interested share you resume to lavanya@infocareerindia.com

Artificial Intelligence Engineer