Posted:17 hours ago|
Platform:
On-site
Full Time
we're reimagining the way India experiences home loans. From eligibility to disbursal, we're building an AI-powered digital mortgage platform that simplifies the complexities of home financing. Our mission is to make housing credit faster, more transparent, and deeply personalized using intelligent systems and thoughtful design. Backed by seasoned fintech operators and driven by impact, we are building the tech infrastructure to bring AI-led efficiency to India's $650B mortgage ecosystem.
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.
? 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.
? 35 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 Tools You'll Use
? LLM Stack: LangChain, LangGraph, OpenAI, Gemini, Ollama
? Infrastructure: FastAPI, Docker, Redis, Chroma/Qdrant, GCP/AWS
? Frontend: React.js, Next.js, Tailwind, shadcn/ui
? Data Stack: Python, Pandas, Pinecone, Supabase
? Collaboration: Slack, Notion, GitHub, Linear
? Opportunity to define the AI architecture of a high-impact fintech product
? High ownership and autonomy in shaping company's core AI systems
? Competitive salary in a high-growth fintech company
? Flexible work hours and open tech stack discussions
? Direct impact on building and scaling India's most intelligent home loan platform
? Work directly with the founder and cross-functional leadership
? Fast-paced, early-stage culture with autonomy and trust
? Fintech product leaders from Jupiter Money, SalaryBox
? Design and ops leaders from Jupiter Money, Tide, and AiDash
? Backed by angels from India's top startups.
HiroJet
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
noida, uttar pradesh, india
Salary: Not disclosed
Experience: Not specified
Salary: Not disclosed
Salary: Not disclosed
bengaluru, karnataka, india
Salary: Not disclosed
india
Salary: Not disclosed
pune, maharashtra, india
Salary: Not disclosed
bengaluru
3.0 - 5.0 Lacs P.A.
hyderabad
5.0 - 8.0 Lacs P.A.
hyderabad, pune, bengaluru
22.5 - 25.0 Lacs P.A.
mumbai, vikhroli
9.0 - 10.0 Lacs P.A.