5+ years of experience in a Lead, Principal, or Senior AI/Software Engineering role, with a track record of architecting and shipping complex, production-grade AI or ML-based solutions
At least 1 year of relevant leadership experience
Master-level proficiency in Python (specifically FastAPI or equivalent web frameworks) and a strong foundation in core NLP concepts (semantic similarity, tokenization, NER, text classification)
Expertise in modern Generative AI design patterns, particularly RAG (Retrieval-Augmented Generation), autonomous multi-agent networks, and tool integration
Production experience with major LLM APIs (OpenAI, Anthropic, Bedrock, Gemini) and framework orchestration tools such as LangGraph or LlamaIndex
Background in optimizing AI applications for performance, security (prompt injection mitigation, data privacy), cloud costs, and system evaluation using programmatic or LLM-as-a-judge approaches
Capability to quickly direct and build intuitive UI/UX prototypes using Streamlit, Gradio, or equivalent
Outstanding leadership and communication skills to lead engineering discussions, bridge the gap between technical and non-technical audiences, and present technical architectures to executives and clients
Strong English communication skills (B2 level or higher)
Full-stack capabilities with TypeScript
Experience incorporating AI into the SDLC to boost team efficiency using tools like GitHub Copilot, Cursor, or specialized agents for automation
Cloud architecture expertise in AWS or Azure (specifically Azure OpenAI, AWS Bedrock, or cloud-native containerized deployments)
Familiarity with Databricks (MLflow, Agent Bricks, Unity Catalog) for orchestrating data pipelines and model lifecycles
Knowledge of advanced search/retrieval systems (hybrid search, vector databases, custom rerankers and ranking algorithms)
Familiarity with emerging open-source protocols (like Model Context Protocol - MCP) and LLM monitoring tools (like LangSmith or Arize Phoenix)