Job Title: AI Engineer
Location: Hyderabad (Hybrid), India
Experience: 2+ years
Job Summary:
Develop generative AI solutions on AWS, focusing on LLMs, prompt engineering, RAG, and agentic AI using n8n and Python libraries like LangChain.
Key Requirements (8 Points):
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Build LLMs (e.g., Anthropic Claude) on AWS Bedrock with boto3.
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Fine-tune LLMs on AWS SageMaker using transformers and LoRA.
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Create prompts with langchain for optimized LLM outputs.
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Develop RAG pipelines with AWS OpenSearch and langchain.
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Build AI agents with crewai or autogen on AWS Lambda.
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Implement agentic workflows in n8n (e.g., n8n.io/workflows/6270).
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Deploy apps with Docker on Amazon ECS/EKS.
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Monitor performance with Amazon CloudWatch and wandb.
Must-Have Skills:
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2+ years Python experience with 1.5+years in GenAI/LLMs.
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Expertise in AWS Bedrock, SageMaker, Lambda, boto3.
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Proficiency in transformers, langchain, crewai, autogen, wandb.
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Experience with n8n workflows, RAG, prompt engineering.
Preferred Skills:
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AWS certification (Machine Learning/Solutions Architect).
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Familiarity with llama-index, n8n templates