Must Haves:

• 5+ years of professional Python development using modern practices - type hints, async/await, Pydantic, and a focus on clean, testable code.
• LLM application engineering: building and shipping LLM-based features (OpenAI, Anthropic, Bedrock, Vertex, etc.).
• Prompt engineering: structured outputs, few-shot prompting, system prompts, tool/function calling.
• Document & unstructured data processing: PDFs, DOCX, HTML, images (parsing, chunking, extraction).
• NLP fundamentals: embeddings, tokenization, similarity, classification, entity extraction.
• Evaluation & testing of LLM systems: golden sets, regression tests, LLM-as-judge, A/B testing, drift detection.
• PostgreSQL + ORM (preferably SQLAlchemy).
• Configuration-driven design: YAML/JSON-schema-based systems instead of hardcoding logic
• Testing discipline: pytest, test-driven mindset, writing tests alongside code.
• Production engineering...