AI/LLM Engineer

Required Qualifications

• 6–8 years of software engineering experience, with at least 2 years building with LLMs or applied ML in production.
• Strong proficiency in Python (or comparable) and strong engineering fundamentals — testing, version control, clean and maintainable code.
• Deep hands-on experience with RAG systems: embeddings, vector databases, chunking/indexing, and a strong track record diagnosing and improving retrieval quality.
• Experience designing and building data ingestion/ETL pipelines over large, messy, real-world datasets.
• Strong experience integrating third-party APIs into backend services, including authentication flows (OAuth/SSO) and webhook/event-driven patterns.
• Hands-on experience with LLM APIs (e.g., Anthropic, OpenAI, or similar) and orchestration frameworks.
• Experience building and relying on evaluations for model and retrieval outputs.
• Experience with knowledge graphs or entity-relationship modeling for retrieval.
• Experience building multi-user or multi-tenant systems with scoped permissions and audit requirements.
• Familiarity with observability and tracing for LLM or data pipelines.