5+ years of experience in Python, with web frameworks like FastAPI or similar
1+ years of leadership experience
Background in AI application development lifecycle
Skills in rapid UI prototyping using Streamlit, Gradio, or similar frameworks
Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (e.g., LangGraph, LlamaIndex)
Knowledge of advanced AI integration patterns (e.g., RAG, Agents)
Proficiency in deploying scalable AI solutions with cost and performance considerations
Proven ability to assess generative AI quality using retrieval/classification scores and LLM-based evaluation methods
Expertise in AI engineering and implementing ML-driven solutions
Competency in problem-solving with strong attention to detail
Effective communication, collaboration, and interpersonal skills
Skills in designing experiments and conducting A/B tests with iterative model improvements
Understanding of retrieval systems (e.g., keyword search, vector search, embeddings) and ranking algorithms
Knowledge of emerging protocols such as MCP, A2A, and ACP
Proficiency in deploying cloud AI platforms (Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM)
Background in enterprise AI platforms such as AWS AgentCore, Databricks AgentBricks, Google Agents Space, or Azure AI Foundry
Familiarity with observability and monitoring tools or frameworks