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Python Developer (GenAI)
Python Developer (GenAI)P99SOFT • Austin, TX, United States
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Python Developer (GenAI)

Python Developer (GenAI)

P99SOFT • Austin, TX, United States
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  • [job_card.full_time]
[job_card.job_description]

Position : Python Developer (Gen AI ).

Location : Austin, TX (Hybrid)

We are looking for an innovative and highly skilled Generative AI Engineer to design and develop advanced AI solutions on AWS. The ideal candidate will have hands-on experience with LLMs, prompt engineering, RAG architectures, and agentic AI workflows using n8n, along with strong expertise in Python frameworks such as LangChain.

Responsibilities :

  • Build and deploy Large Language Models (LLMs) such as Anthropic Claude using AWS Bedrock and boto3 .
  • Fine-tune LLMs on AWS SageMaker using Transformers , LoRA , and other optimization techniques.
  • Design and develop high-quality prompts using LangChain for improved LLM performance and workflow efficiency.
  • Create scalable RAG (Retrieval-Augmented Generation) pipelines using AWS OpenSearch and LangChain .
  • Build and manage intelligent AI agents using CrewAI or Autogen , and deploy them on AWS Lambda .
  • Implement end-to-end agentic AI workflows within n8n (e.g., using workflow templates similar to n8n.io / workflows / 6270).
  • Deploy applications with Docker on container platforms such as Amazon ECS and Amazon EKS .
  • Monitor, track, and optimize system and model performance using Amazon CloudWatch and Weights & Biases (wandb) .

Required Skills :

  • 2+ years of hands-on Python development experience , including working with GenAI and Large Language Models (LLMs) .
  • Strong expertise in AWS Bedrock, Amazon SageMaker, AWS Lambda, and boto3 for building and deploying AI solutions.
  • Proficiency in Transformers , LangChain , CrewAI , Autogen , and Weights & Biases (wandb) for model development, orchestration, and monitoring.
  • Experience in building n8n workflows , implementing RAG (Retrieval-Augmented Generation) pipelines, and performing advanced prompt engineering .
  • Preferred Skills :

  • AWS Certifications such as Machine Learning Specialty or Solutions Architect.
  • Familiarity with LlamaIndex , n8n templates , and other low-code AI orchestration tools.
  • Qualifications :

  • Bachelor’s or Master’s degree in Computer Science , Engineering , or a related technical field.
  • Minimum of 2 years of relevant industry experience , including strong hands-on work in Python and cloud-based AI solutions.
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