AI Engineer

Python & SQL - strong hands-on proficiency. Generative AI / LLMs - RAG, embeddings, prompting, structured extraction, summarization. Agentic AI - agents, tool-calling, orchestration, context management, guardrails. AI evaluation & monitoring - testing and measuring AI/LLM outputs. Data engineering - structured/unstructured data, ingestion, transformation and pipelines. Databases & retrieval - Snowflake/PostgreSQL, vector databases/search. Backend & APIs - FastAPI/Flask, REST APIs, service integ…