Full Stack Engineer — AI

4 weeks ago

Tampa FL, United States Rent Solutions Full time

Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.
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.

AI Systems Development - You will architect, build, and deploy advanced AI capabilities, including:
AI-powered bots and conversational assistants

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.

AI Engineering Expertise (Required) - Candidates must have hands-on, production-level AI experience:

Built production AI systems (bots, RAG, agents, orchestrations)
Deep understanding of embeddings + vector databases
Experience designing RAG pipelines and context architectures
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
Bonus Skills
AWS experience
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.) 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.)

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