Nanonets is Hiring Senior Software Engineer (Fullstack)**

Hiring Alert – Senior Software Engineer (Fullstack)

Company: Nanonets
Location: Bangalore, India
Job Type: Full Time

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About Nanonets:
Nanonets is on a mission to help computers see and understand the world, starting with documents. Our cutting-edge Machine Learning (ML) solutions automate data extraction, reconciliation, and workflow optimization for global clients, including Toyota, Boston Scientific, Bill.com, and Entergy.

We recently raised $29 million in Series B funding from Accel, Elevation Capital, and Y Combinator to expand our AI-driven automation capabilities and revolutionize how businesses process visual and textual data.

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About the Role:
We are seeking a highly skilled Fullstack Engineer who is comfortable working with both backend (preferably Golang) and frontend (React, Next.js) technologies. You will work on shipping new features, integrating machine learning APIs, optimizing performance, and building scalable workflows for processing hundreds of millions of documents each month.

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Key Responsibilities:

• Develop and ship new features including integrations and ML API enablement
• Design and build complex workflows for large-scale document processing
• Optimize backend services for performance and scalability
• Collaborate with frontend teams to deliver seamless user experiences
• Apply best practices in software design, security, and architecture
• Troubleshoot and resolve technical issues across the stack

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Required Qualifications:

• B.Tech/B.E from a reputed institution
• Strong coding skills and agility in shipping production-ready features
• Backend development experience (preferably Golang or Python)
• Frontend development experience (React, Next.js)
• Database experience with NoSQL (preferably Cassandra)
• Strong understanding of OOP principles and design patterns
• Basic knowledge of DevOps practices
• Excellent communication skills
• Curiosity and willingness to learn new technologies

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Nice-to-Have Skills:

• Compiling Python code into C for Golang integration in on-premise systems
• Kubernetes-based autoscaling for GPU-dependent services using custom metrics
• Designing simplified interfaces for ML metrics visualization
• Experience building integrations with platforms like Salesforce, QuickBooks, RPA tools, and external databases
• Distributed file processing in Golang

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Example Projects at Nanonets:
Backend:

• Compiled Python → C → Golang binary deployment for on-premise systems
• Built scalable GPU autoscaling mechanisms with Kubernetes custom metrics
• Developed integrations with multiple enterprise platforms

Frontend:

• Built document annotation tools for AI training
• Designed interactive ML metrics dashboards for end-users
• Developed complex visual workflow builders for API automation

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Work Environment:
At Nanonets, we value innovation, ownership, and continuous learning. You will work alongside some of the brightest minds in AI, building solutions that impact businesses globally.

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Tags & Keywords:
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