Senior Gen AI Engineer

Location:

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  Apply core engineering concepts, AI/ML expertise, and domain knowledge to design and develop scalable AI-driven systems.



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  Play a key role in building high-quality, reliable, and secure solutions using modern development practices.



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  Empower team members and influence engineering excellence across the organization.




• Lead Engineer Business Banking Technology

If you are passionate about building intelligent systems, uplifting engineering culture, and driving innovation in a large organization, this role is for you.

• scalable agentic AI solutions




• MLOps pipelines



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  Design and run experiments to evaluate model performance; continuously refine models.




• automated LLM output validation




• ethical AI practices




• AWS services




• Spark framework, Vector DB



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  Collaborate with software engineers to deploy AI models into production environments with scalability and reliability.



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  Participate in research initiatives exploring new GenAI models, frameworks, and methodologies.



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  Develop monitoring systems to track and improve AI model performance in production.




• DevSecOps practices

• 7+ years



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  Strong expertise in:

  
  

  • RAG (Retrieval-Augmented Generation)

  
  

  • Prompt Engineering

  
  

  • Vector DB, DynamoDB, Redshift

  
  

  • Spark, Parquet, Iceberg

  
  

  • Python

  
  

  • MLOps

  
  
  
  


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  Experience with AI and ML tools such as:

  
  

  • Langfuse, LlamaIndex, MLflow

  
  

  • GLEU, BLEU

  
  
  
  



• AWS




• traditional machine learning



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  Ability to work independently and collaboratively



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  Strong communication skills for influencing technical decisions