Generative AI Engineer

Position: AI/ML Engineer (4+ Years Experience)

Location:

Work Mode:

Must Have Skills:

• 4+ years of hands-on experience

  in Python development and building

  RESTful APIs

  .
• Strong expertise with

  AWS Bedrock

  – foundation models, prompt engineering, managed inference, and model orchestration.
• Practical experience with

  Amazon SageMaker

  – model training, tuning, deployment, monitoring, and

  JumpStart

  .
• Experience working with both

  commercial LLMs

  (OpenAI GPT, Claude, Gemma, etc.) and

  open-source LLMs

  (Llama, Qwen, etc.).
• Good understanding of key

  AI/ML concepts

  such as RAG pipelines, embeddings, vector search, model optimization, etc.
• Strong

  debugging and performance optimization

  skills.

Good to Have:

• Knowledge of

  MLOps

  practices – SageMaker Pipelines, CI/CD for ML workflows.
• Exposure to

  NoSQL databases

  such as MongoDB or DynamoDB, along with

  boto3/PyMongo

  .
• Experience with

  Docker/Kubernetes

  for creating custom SageMaker containers.
• Awareness of other

  AWS Managed Services

  (Lambda, API Gateway, Step Functions, etc.).