AI Python developer
Hyderabad · Senior
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Job description
About the Role
Key Responsibilities
- Develop and test agentic AI applications and Generative AI solutions using Python.
- Validate LLM outputs, prompts, and RAG pipelines for accuracy, relevance, and reliability.
- Use Amazon Bedrock and AWS SDK for Python (boto3) to test and evaluate LLM responses.
- Work with frameworks such as LangChain and Strands to develop and validate AI workflows.
- Use evaluation libraries such as Ragas and Deepchecks to assess GenAI application quality.
- Ensure stable deployment of AI applications on Amazon ECS/EKS using Docker.
- Monitor application performance, errors, and operational metrics using Amazon CloudWatch.
- Work with AWS services, including SageMaker and Lambda, to support AI application development and deployment.
- Collaborate with development teams to improve AI application quality, reliability, and performance.
Required Skills & Qualifications
- 4+ years of hands-on Python development experience.
- Minimum 2 years of experience testing Generative AI applications and LLMs using Python.
- Strong expertise in AWS Bedrock, SageMaker, Lambda, and boto3.
- Experience with LangChain, Strands, or similar AI frameworks.
- Hands-on experience testing RAG pipelines, prompts, and LLM outputs.
- Experience with Docker and deployment environments such as Amazon ECS/EKS.
- Knowledge of Amazon CloudWatch for monitoring application performance.
Good to Have
- UI development experience.
- Experience with GenAI evaluation frameworks such as Ragas and Deepchecks.
- Exposure to agentic workflows and AI application observability.
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