3+ years of experience in Python, with web frameworks like FastAPI or similar
Understanding of AI application development lifecycle
Background in rapid UI prototyping using tools like Streamlit or Gradio
Familiarity with major LLM platforms and APIs like OpenAI, Anthropic, Amazon Bedrock, and Gemini, alongside related frameworks such as LangGraph, LlamaIndex
Knowledge of integration techniques like RAG and Agents
Proficiency in deploying AI solutions at scale with attention to performance and maintainability
Skills in evaluating generative AI quality with metrics like retrieval and classification scores
Expertise in AI engineering and delivering machine learning solutions
Competency in problem-solving with a strong attention to detail
Clear communication and collaboration abilities with demonstrated interpersonal skills
Expertise in experiment design and utilizing A/B tests to refine models based on feedback
Understanding of retrieval systems like keyword search, vector search, and embeddings, along with ranking algorithms
Familiarity with emerging protocols like MCP, A2A, and ACP
Capability to deploy to platforms like Azure OpenAI, Amazon Bedrock, GCP Vertex AI, or on-premise setups like vLLM
Background in enterprise AI solutions including AWS AgentCore, Databricks AgentBricks, Google Agents Space, or Azure AI Foundry
Proficiency in using observability and monitoring tools effectively