Senior Python Generative AI Engineer @ Tredence

Job Description

Senior Python Generative AI Engineer

Job Summary:

We are seeking experienced engineers to develop Generative AI solutions on AWS, focusing on LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and agentic AI using n8n and Python libraries like LangChain.

Key Responsibilities:

1. Build LLMs (e.g., Anthropic Claude) on AWS Bedrock using boto3.
2. Fine-tune LLMs on AWS SageMaker with transformers and LoRA.
3. Design and optimize prompts using LangChain for high-quality outputs.
4. Develop RAG pipelines leveraging AWS OpenSearch and LangChain.
5. Build AI agents using crewai or autogen on AWS Lambda.
6. Implement agentic workflows in n8n (e.g., n8n.io/workflows/6270).
7. Deploy applications with Docker on Amazon ECS/EKS.
8. Monitor performance using Amazon CloudWatch and Weights & Biases (wandb).

Must-Have Skills:

• 5+ years of Python experience, with 2+ years in Generative AI/LLMs.
• Expertise in AWS Bedrock, SageMaker, Lambda, boto3.
• Proficiency in transformers, LangChain, crewai, autogen, wandb.
• Hands-on experience with n8n workflows, RAG, and prompt engineering.

Preferred Skills:

• AWS Certification (Machine Learning or Solutions Architect).
• Familiarity with llama-index and n8n templates.

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Keyskills:   Retrieval Augmented Generation aws Python Langchain gen ai