What are the responsibilities and job description for the Full Stack Engineer — AI & LLM Systems position at Rent Solutions?
About the Role
We’re looking for someone who genuinely loves building AI systems. Things like bots, knowledge bases, agentic workflows, RAG pipelines, and other intelligent tools. If you get excited about taking an idea and turning it into a real, working AI feature, you’ll fit right in.
The title mentions “Full Stack,” but to be clear: the heart of this job is AI engineering. You’ll be the one designing and building the AI capabilities that power our platform, end to end.
What You’ll Work On (Primary Focus)
AI Systems Development - 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
If your passion is building real AI systems, not just prototypes, this role is built for you.
Requirements
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)
(Not the primary responsibility, but required for integrating AI features.)
- Experience with MongoDB, Express, React, Node.js
- Strong debugging and integration skills
Bonus Skills
- AWS experience
- Workflow engines (n8n, Zapier)
- Experience with fine-tuning or model benchmarking
How to Apply (Must Follow Exactly)
Applicants who skip any step will be automatically declined.
1. Property Management / Real Estate Experience (Optional)
List any relevant experience (optional).
2. GitHub Repository
Share your GitHub link or specific repos showcasing your AI full stack work.
3. 2-Minute Video Introduction (Required)
Record a 1–2 minute video (Loom, unlisted YouTube, Google Drive, etc.) answering:
Your name where you're located
- Your AI experience in one sentence
- One AI system you built that you're proud of
- Clear audio is enough — no heavy editing required.
(If this keyword is not at the top, the application will not be reviewed.)