Description

You will build, train, and maintain large language models and production-grade generative AI applications.

Responsibilities

  • Train and maintain large language models for production use.
  • Develop GenAI applications using prompt engineering frameworks and guardrails.
  • Implement VectorDBs and data infrastructure to support training pipelines.
  • Integrate AI models into production-grade environments with ongoing support.
  • Present technical architectures and project updates to both technical and business audiences.

Required Skills

  • 5+ years of professional development experience.
  • Proficiency in Python, R, Scala, or Spark.
  • Hands-on experience with AWS and AWS SageMaker.
  • Direct experience with the GenAI stack, including LLM fine-tuning and guardrails.
  • Practical knowledge of VectorDBs and data infrastructure for AI pipelines.
  • Experience with AI frameworks such as TensorFlow, scikit-learn, Keras, Torch, or Gluon.
  • Background in NLP, sentiment analysis, classification, or pattern recognition.
  • Knowledge of DevOps or DevSecOps practices within the Agile SDLC.
  • Degree in any field of study.

Key Skills
Education

Any Graduate

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