FIND_THE_RIGHTJOB.
Hyderabad, Pakistan
Location: Hyderabad/Bangalore
Experience : 4 to 10 Years
Job Description:
3+ years hands-on experience with Python, FastAPI, 3rd party API integration, including OpenAI/LLM integration.
2-3 years working with AWS services like- bedrock, S3, Dynomodb, lambda, cloudwatch.
2-3 years’ experience of prompt engineering and prompt evaluation techniques.
2-3 years’ experience with Azure AI Foundry, including creating, evaluating, and deploying AI projects.2-3 years’ experience in building flows using Prompt Flow (Langchain tools, vector search, evaluations).
2-3 years’ experience of RAG architecture, grounding techniques, and AI model evaluation
Design and build GenAI-powered applications using AWS AI services (e.g., Amazon Bedrock, SageMaker, Lex, Comprehend, Translate, Polly) and Python.
Manage the lifecycle of generative AI assets – from prompt engineering to evaluation and deployment – using AWS-native tools.
Integrate Amazon Kendra, S3, and REST APIs to ground LLMs with enterprise data.
Implement automation workflows leveraging AWS Step Functions, Lambda, and Event Bridge.
Follow best practices in prompt engineering, AI safety, grounding, and telemetry/monitoring with AWS CloudWatch and CloudTrail.
Key Skills: Python, FastAPI, AWS services like- bedrock, S3, Dynomodb, lambda, cloudwatch, Azure AI Foundry, LLM, RAG
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