• 
  GenAI Development:
  Design, develop, and fine-tune Large Language Models (LLMs) and implement
  RAG (Retrieval-Augmented Generation)
  frameworks to enhance platform intelligence.
• 
  Python Engineering:
  Write clean, scalable, and efficient Python code for data processing, model training, and API integration.
• 
  Technical Governance:
  Adhere to strict
  Compliance Gates
  and security protocols to ensure all AI deployments meet enterprise safety standards.
• 
  Process Optimization:
  Utilize and optimize
  IDE plugins
  and developer tools to enhance the overall
  DevX (Developer Experience)
  and speed to market.
• 
  Strategic Impact:
  Collaborate with the Account Management team to identify
  strategic investment
  opportunities in AI that can drive cost-efficiency and performance gains.

Required Technical Skills

• 
  Core AI:
  Deep understanding of Transformers, LLMs (GPT, Llama, Claude), and Prompt Engineering.
• 
  Programming:
  Mastery of
  Python
  and its ecosystem (Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow).
• 
  Frameworks:
  Experience with LangChain, LlamaIndex, or Vector Databases (Pinecone, Weaviate, Milvus).
• 
  Cloud & MLOps:
  Familiarity with deploying models on
  Azure
  or AWS, and managing the end-to-end model lifecycle.
•