Design, develop, and deploy Generative AI applications using Large Language Models (LLMs) and foundation models.
Build intelligent AI agents and multi-agent workflows to automate business processes and complex tasks.
Develop and optimize RAG architectures, including document ingestion, chunking, embeddings, vector search, retrieval, and contextual response generation.
Implement LLM integrations using AWS Bedrock and develop, train, fine-tune, and deploy machine learning models using Amazon SageMaker.
Leverage Databricks for data engineering, data processing, analytics, and preparation of datasets for AI/ML applications.
Develop serverless AI workflows and backend services using AWS Lambda.
Build and manage data pipelines using AWS Glue and orchestrate end-to-end workflows using Apache Airflow and AWS Step Functions.
Integrate AI applications with enterprise data sources, APIs, databases,



and cloud services.
Implement prompt engineering, model evaluation, response quality assessment, guardrails, and responsible AI practices.
Optimize AI solutions for performance, scalability, latency, reliability, and cost.
Implement monitoring, logging, testing, and deployment practices for production-grade AI applications.
Collaborate with data engineers, cloud architects, data scientists, and business stakeholders to deliver AI-driven solutions.

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📌 Python Gen Ai Engineer Pune
🏢 RARR Technologies
📍 Pune