3+ years of experience as a Senior Software Engineer delivering production-grade AI, Machine Learning, or LLM-based solutions
Strong proficiency in Python (especially web frameworks like FastAPI) and a solid grasp of NLP concepts (semantic similarity, tokenization, text classification)
Hands-on experience with modern AI patterns, particularly RAG (Retrieval-Augmented Generation) and AI Agents
Familiarity with major LLM APIs (OpenAI, Anthropic, Bedrock) and framework tools (like LangGraph or LlamaIndex)
Experience deploying AI applications at scale, managing cloud costs, and evaluating model quality (using retrieval metrics or LLM-based evaluation)
Ability to quickly spin up user interfaces using Streamlit, Gradio, or similar tools
Ability to explain complex technical ideas clearly to both developer teams and non-technical clients
Strong English communication skills (B2 level or higher)
Development experience with TypeScript
Experience incorporating AI into the SDLC (using tools like GitHub Copilot or Cursor to write, test, and review code)
Cloud expertise with AWS or Azure (specifically Azure OpenAI or AWS Bedrock)
Experience using Databricks (MLflow, Agent Bricks, etc.) for data or model workflows
Knowledge of advanced search/retrieval systems (vector databases, semantic search, rerankers)
Familiarity with emerging open-source protocols (like Model Context Protocol — MCP) or LLM monitoring tools (like LangSmith or Arize Phoenix)