We're looking for a Founding AI+Full Stack Engineer to join our core team and build intelligent systems that drive product workflows, automate document analysis, personalize offers, and enable conversational agents - but also own the end-to-end customer experience by building and scaling full-stack applications. If you're excited about building agentic AI systems, RAG pipelines, and decision engines - and want to work on real problems like affordability matching, loan eligibility prediction, or OCR-based onboarding - this is your playground.

Responsibilities :

- Architect, build, and deploy scalable backend services using Python (FastAPI / Flask / Django)

- Design and optimize relational schemas in PostgreSQL or MySQL

- Build and maintain LLM-powered agents for document parsing, negotiation, navigation, and customer support

- Integrate and fine-tune RAG pipelines using LangChain, LlamaIndex, or similar frameworks

- Develop decisioning systems (BREs) for eligibility checks, affordability scoring, and cross-sell logic

- Operate, monitor, and secure infrastructure on AWS / GCP / Azure

- Collaborate end-to-end with the frontend team (React.js ) to deliver seamless customer experiences

- Mentor interns or junior engineers and help shape team practices and tech direction

- Build responsive, high-performance web applications using React.js / Next.js and modern UI frameworks (Tailwind, shadcn/ui).

- Collaborate end-to-end with design and product to ship customer-facing features.

Requirements :

- 3-5 years of professional software engineering experience (excluding internships).

- Strong Python fundamentals and hands-on experience with FastAPI, Flask, or Django.

- Experience building and deploying GenAI/NLP/RAG-based applications in production.

- Familiarity with LLM frameworks (LangChain, LangGraph), vector stores (Pinecone, Qdrant), and prompt engineering.

- Deep understanding of PostgreSQL or MySQL (schema design, migrations, query performance).

- Experience operating systems on AWS, GCP, or Azure.

- Medium familiarity with React.js and frontend architectures.

- Holistic system design mindset with an ability to move from whiteboard to production independently.