Rent Solutions · 1 month ago
Full Stack Engineer — AI & LLM Systems
Rent Solutions is looking for a Full Stack Engineer specialized in AI and LLM systems. The role focuses on architecting and building advanced AI capabilities, including bots and conversational assistants, while integrating these features into the existing product platform.
LeasingProperty ManagementReal Estate
Responsibilities
You will architect, build, and deploy advanced AI capabilities, including:
AI-powered bots and conversational assistants
Knowledge base systems (RAG, embeddings, vector DBs, context management)
Agentic systems with tool use, multi-step reasoning, and dynamic workflows
Fine-grained prompt design, guardrails, and output evaluation
Model selection, performance tuning, and cost optimization
Integrating AI features into our existing MERN-based product
Built production AI systems (bots, RAG, agents, orchestrations)
Experience with GPT-4o, Claude, LangChain, LlamaIndex, Agent frameworks
Deep understanding of embeddings + vector databases
Experience designing RAG pipelines and context architectures
Ability to build multi-step agentic workflows and tool systems
Strong prompt engineering fundamentals + prompt security awareness
Experience evaluating model performance + improving reliability
Comfort with AI dev tooling (Cursor, Claude, Copilot, etc.)
Experience with MongoDB, Express, React, Node.js
Strong debugging and integration skills
AWS experience
Workflow engines (n8n, Zapier)
Experience with fine-tuning or model benchmarking
Qualification
Required
AI Engineering Expertise (Required) - Candidates must have hands-on, production-level AI experience
Built production AI systems (bots, RAG, agents, orchestrations)
Experience with GPT-4o, Claude, LangChain, LlamaIndex, Agent frameworks
Deep understanding of embeddings + vector databases
Experience designing RAG pipelines and context architectures
Ability to build multi-step agentic workflows and tool systems
Strong prompt engineering fundamentals + prompt security awareness
Experience evaluating model performance + improving reliability
Comfort with AI dev tooling (Cursor, Claude, Copilot, etc.)
Full Stack Ability (Supporting Skillset)
Experience with MongoDB, Express, React, Node.js
Strong debugging and integration skills
2-Minute Video Introduction (Required)
Preferred
AWS experience
Workflow engines (n8n, Zapier)
Experience with fine-tuning or model benchmarking
Property Management / Real Estate Experience