Engineer Interns (Full Stack + AI/LLM + OCR) for DealOS https://dealos.in/
Fill the Google form here: https://forms.gle/6me13Vkguosu58zV9
About the Opportunity
We are building an AI-powered marketplace and workflow platform focused on fundraising and transaction automation for startups and businesses.
The platform combines:
- CRM and workflow systems
- AI copilots for financial analysis
- OCR and document intelligence
- investor/lender matching
- automation tools
- dashboards and transaction workflows
We are hiring highly motivated engineering interns to work directly on building the product from scratch in a fast-paced startup environment.
Role Overview
As an Engineer Intern, you will work across:
- Full stack application development
- AI/LLM integrations
- OCR and document intelligence workflows
- APIs and backend systems
- CRM and dashboard development
- automation and workflow systems
Responsibilities
- Build frontend and backend product features
- Develop APIs and database integrations
- Work on AI/LLM-based workflows and automation
- Build OCR/document parsing systems
- Integrate third-party APIs and services
- Develop dashboards, workflows, and internal tools
- Contribute to architecture and product decisions
Preferred Skills
- React / Next.js
- Node.js / Python
- APIs & backend systems
- PostgreSQL / MongoDB / Firebase
- OpenAI APIs / LLM understanding
- OCR/document extraction basics
- Git/GitHub workflows
- LangChain / vector databases
- FastAPI
- workflow automation tools
What We Look For
- Strong problem-solving ability
- Ownership mindset
- Builders who like creating products from zero
- Ability to work independently
Beginners with strong projects and learning attitude are encouraged to apply.
Internship Details
- Remote
- Flexible working hours with high ownership
- 2–6 months duration
Please share:
- Resume
- GitHub profile link (preferable)
- LinkedIn profile
- Brief note on projects/products you have built or contributed to
Pay: ₹1.00 - ₹5,000.00 per month
Benefits:
- Flexible schedule
- Work from home
Work Location: Remote
