About the company
- With our Documind platform, we transform document-heavy operations and help enterprises gain true document intelligence.
- Powered by Vision Language Models (VLM) and Large Language Models (LLM), Documind automatically extracts accurate data from documents, reducing error rates and increasing productivity.
- Documind can turn information from both text and image-based documents into structured data within minutes, helping our customers automate repetitive document workflows.
Responsibilities
- Design, develop, and maintain scalable backend services and APIs using Python (preferably FastAPI).
- Work on data models and database schemas, ensuring performance and reliability.
- Integrate LLM and deep learning based services into existing systems.
- Write tests and participate in code reviews to keep code quality high.
- Contribute to deployment and operations using Docker and modern DevOps tooling.
- Collaborate closely with product and frontend teams to ship new features end-to-end.
Requirements
- Strong experience with Python and modern web frameworks (preferably FastAPI, Django, or Flask).
- Proven track record designing and building RESTful APIs.
- Experience with relational databases (e.g. PostgreSQL) and optionally NoSQL data stores.
- Familiarity with containerization using Docker.
- A collaborative mindset, strong problem-solving skills, and eagerness to learn new technologies.
- Ability to read and understand technical documentation in English.
Nice to have
- Hands-on experience with AI / LLM-related projects.
- Experience working on high-throughput, large-scale backend systems.
- Experience with at least one major cloud provider (AWS, GCP, Azure).
- Practical experience in software or cloud architecture design.