GenAI Engineer (Python + AWS)

About the Role:

We are looking for a GenAI Engineer with a strong foundation in Python and AWS, who is passionate about building and deploying cutting-edge Generative AI solutions. The ideal candidate should have hands-on experience in LLMs, RAG (Retrieval-Augmented Generation), and prompt engineering, with a solid understanding of AI agent workflows and cloud-based AI deployment.

Key Responsibilities:

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  Design, develop, and implement GenAI-based solutions leveraging LLMs, RAG pipelines, and prompt engineering techniques.

  
  


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  Build and orchestrate agentic workflows using tools such as n8n, crewai, or autogen.

  
  


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  Utilize LangChain, AWS Bedrock, and SageMaker for model training, fine-tuning, and integration into production environments.

  
  


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  Deploy, monitor, and scale AI applications using Docker, ECS/EKS, and CloudWatch.

  
  


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  Collaborate with cross-functional teams (Data Scientists, MLOps, Product) to deliver scalable and high-performing AI services.

  
  


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  Continuously evaluate new AI models, frameworks, and AWS AI services to enhance solution efficiency and innovation.

  
  

Technical Skills & Qualifications:

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  3–6 years of experience in Python development with exposure to AI/ML or GenAI projects.

  
  


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  Strong working knowledge of AWS cloud services – particularly Bedrock, SageMaker, ECS/EKS, and CloudWatch.

  
  


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  Experience with LangChain, RAG architecture, and prompt engineering for LLM-based applications.

  
  


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  Hands-on experience in containerization (Docker) and workflow orchestration using n8n, crewai, or autogen.

  
  


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  Understanding of MLOps pipelines and AI model lifecycle management.

  
  


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  AWS Machine Learning certification is preferred.