Machine Learning Engineer

Required Skills (Must Have):

• Language:

  Strong proficiency in Python programming language.

• Cloud LLM API:

  Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration

• Vector DB:

  Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries

• Prompt engineering:

  Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps

• Patterns

• RAG

  Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations
• Experience with building

  conversational virtual assistants

  and chatbots
• Understanding of API integration and

  data workflows

• LLM framework:

  Experience with at least one LLM framework – Langchain, Llamaindex, or other

• LLM models

  - In-depth knowledge of LLM models and their applications.

• Advanced LLM/AI Development skills

• Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud
• Ability to design and develop scalable and efficient applications.

• Serverless

  : Experience with Azure Function Apps or AWS Lamba functions

Cloud