GENAI AI Engineer

Job Summary Location Employment Responsibilities

• 5+ years of experience in AI/ML Engineering, Data Science, ModelOps, or related fields.
• Hands on experience with Large Language Models (LLMs) and Generative AI solutions.
• Experience with:
  • Prompt Engineering
  • Retrieval Augmented Generation (RAG)
  • AI Evaluation Frameworks
  • Fine Tuning Techniques
• Strong programming skills in Python.
• Experience with machine learning and AI frameworks such as:
  • Azure AI Foundry
  • OpenAI / Azure OpenAI
  • Hugging Face
  • LangChain
  • Semantic Kernel
  • MLflow

Qualifications Must have

• Experience working with cloud platforms such as Azure, AWS, or GCP.
• Strong analytical and problem solving skills.
• Experience implementing ModelOps or LLMOps capabilities.
• Familiarity with RAGAS, DeepEval, Evidently, and AI observability frameworks.
• Experience in Banking, Ficial Services, or regulated industries.
• Knowledge of AI Goverce, Responsible AI, and Model Risk Management (MRM).

Good to have

• Improve GenAI quality, reliability, and groundedness.
• Establish scalable AI evaluation and testing practices.
• Reduce hallucinations and model performance drift.
• Enable governed and production ready GenAI deployments.
• Support continuous improvement through monitoring, evaluation, and optimization.

Skills

• Python
• SQLite
• Generative AI