Agentic AI engineer

Job description:

Basics AI, ML, DL, GenAI, Agentic AI

Gen AI Basics – LLM, Foundation Models, RAG, Prompt Engg

AWS AI/ML Stack – AWS AI Services (Recognition, Poly, Translate etc), SageMaker, Bedrock

Hands on/experience in –::

• RAG, Sentiment Analysis

Recommendation ::

• Notebooks/ S3/Lambda/ ECS etc

Must have - Python, AWS services working experience

Typical profile should show  all or most of the following:

• Worked on projects using LLMs
• Knowledge on LLM embeddings & search
• Working or knowledge on RAG
• Working or  knowledge on NLP, Sentiment Analysis
• Experience in building chatbot / conversation AI for form filling, voice-enabled form filling, image classification etc
• End-to-End experience in hosting applications in AWS using some or all of the services in AWS
• AWS Bedrock
• Amazon Rekognition
• Amazon Comprehend
• Lambda
• AWS step functions
• Amazon Lex
• Dynamo DB
• OpenSearch
• Amazon Textract
• API Gateway
• S3