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