Who You Are

• Experienced in building real LLM applications — you’ve shipped systems that use large models meaningfully.
• Strong software engineering skills — Python/TypeScript, API design, backend integration, and cloud deployment.
• Tool fluency — comfortable with RAG, vector databases (e.g., Pinecone/Weaviate), workflow frameworks (LangChain, Dust), and related tooling.
• Architectural thinker — you can diagram end-to-end solutions incorporating context windows, caching strategies, tool calls, and multi-step reasoning.
• Product-oriented — you care not just that the AI works, but that it delivers value safely and reliably to users.

Basic Qualifications

• 3+ years of software engineering experience with AI integration or a related field.
• Demonstrated use of LLMs in production workflows or complex prototypes.
• Strong coding ability in Python or equivalent; familiarity with backend frameworks and cloud services.
• Experience with API integrations, database systems, and scalable architectures.
• Experience with multi-modal models or multi-agent system design.
• Familiarity with AI safety guardrails, hallucination mitigation, and structured output enforcement.
• Knowledge of vector DBs, RAG architectures, and prompt lifecycle tooling.