AI Developer LLM Features & AI Systems

STAN AI is the AI assistant for HOA and condo association property managers. We work with 20000 communities representing 2.5 million homes across North America and we just closed our Series A. Our platform integrates natively with every major property management software in the category Vantaca CINC Enumerate eUnify VMS Caliber/FrontSteps Buildium which is why management companies are switching to us faster than this market has ever moved.

Were looking for an AI Developer to build the AI backbone of our product retrieval-augmented generation pipelines multi-step agent workflows embedding systems and LLM integrations that property managers rely on daily.

Youll work directly with product and engineering to ship AI features end-to-end: designing vector search strategies building agent loops evaluating model quality and shipping systems that actually work in production. You wont just execute tickets youll bring a point of view on embedding models chunking strategies reranking approaches and the real tradeoffs between quality latency and cost.

• RAG Pipelines: Design and build retrieval-augmented generation systems. Own chunking strategy embedding selection retrieval optimization and reranking.
• Vector Databases: Implement and manage vector search infrastructure (Pinecone Weaviate or similar). Integrate embeddings with our MongoDB core data layer.
• Agent Workflows: Build multi-step agent loops with tool use memory planning and guardrails. Handle edge cases like hallucination context limits and reasoning failures.
• LLM Integration: Integrate Claude and OpenAI APIs using orchestration frameworks (LangChain LlamaIndex or equivalent). Manage prompts context windows streaming function calling and tool use.
• Evals & Quality: Build evaluation pipelines to measure LLM output quality. Iterate on prompts retrieval strategies and model choices based on real data.
• AI Tooling & Developer Experience: Use Claude Code and modern AI-assisted development as part of your workflow. Help the team ship faster with AI & Architecture: Work with product to scope AI features and advise on feasibility. Help set patterns and best practices as the AI feature set grows.

Must Have:

• Hands-on experience building RAG systems in production (chunking embedding retrieval reranking)
• Real experience with embedding models (OpenAI Cohere or open-source) and vector databases (Pinecone Weaviate Chroma or similar)
• Experience building agent loops or multi-step reasoning systems (tool use memory patterns error handling)
• Familiarity with Claude API and/or OpenAI API prompt design function calling streaming
• Strong TypeScript and Python you write clean maintainable well-tested code
• Understanding of LLM limitations: hallucination context windows latency inference cost and real-world tradeoffs

Strong Assets:

• Experience with Claude Code or AI-assisted development workflows
• Knowledge of LLM evaluation frameworks (RAGAS custom metrics semantic similarity scoring)
• Side projects or portfolio demonstrating real AI work (not tutorials) GitHub demos case studies
• Hands-on experience with orchestration frameworks (LangChain LlamaIndex or equivalent)
• Experience with multi-modal inputs or structured output extraction (JSON mode schema validation)
• Background shipping AI features in a production SaaS environment (not just experiments)
• Familiarity with Stan AI stack: TypeScript MongoDB AWS
• Understanding of prompt engineering few-shot learning and in-context optimization

Nice to Have:

• Fine-tuning or RLHF experience
• Contributions to open-source AI projects
• Experience in PropTech FinTech or operations software
• Knowledge of prompt injection risks and AI safety patterns
• Familiarity with vector database administration (indexing cost optimization scaling)

• Competitive salary
• Comprehensive health dental and specialist benefits.
• Company Macbook.
• Free parking and shuttle service to the office.
• Extra PTO during occasional US holidays.
• Company events in-office restaurant and building-wide perks.
• Unlimited ping pong and espresso!

Most AI developer roles mean adding a ChatGPT call to an existing feature. This is different. Youll be building the AI backbone of a product that property managers depend on daily to run their business. Youll make real architectural decisions: embedding models retrieval strategies chunking approaches evaluation metrics. Youll see the results ship and hear directly from customers.