Nanonets
Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning. At Nanonets, we serve up the most accurate models. Always.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Nanonets is transforming the way businesses work. Our AI platform takes the manual, messy, time consuming work — that bog down industries like finance, healthcare, supply chain, and more — and turns them into seamless, automated processes. What once took hours of human effort now takes seconds with Nanonets. Our client footprint spans across 34% of Fortune 500 enabling businesses across various industries to unlock the potential of AI in automating their business processes.
More than 10,000 businesses trust Nanonets because we don’t just promise efficiency — we deliver it with unmatched accuracy, seamless integrations.
In 2024, we raised a $29M Series B led by Accel with continued backing from Elevation Capital and YCombinator, fueling our mission to reshape entire industries through intelligent automation. With revenues tripling year over year and a rapidly scaling global team, we’re not just imagining the future of work — we’re building it.
Read about the release here:
Article 1
Article 2
The Role
We are seeking a technically proficient, business-minded Forward Deployed Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead.
Roles and Responsibilities
- Partner closely with customers as their technical partner to deploy Nanonets to production , helping them rapidly move from ideation to scale.
- Provide proactive guidance to maximize business impact and accelerate application development.
- Translate customer requirements into clear documentation (PRDs, workflows, success criteria) for internal teams.
- Partner closely with Product, Engineering, and Solutions teams to scope work, prioritize requests, and deliver against timelines.
- Maintain and prioritize backlogs across multiple customer accounts.
- Plan and communicate project timelines using structured documentation (project plans, trackers, presentations).
- Ensure end‑to‑end testing and validation of workflows before customer release.
Requirements and Skills
- 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.
- Have passion for startups and a belief in their potential to become future large enterprises.
- Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.
- Built and/or delivered prototypes on top of our API platform.
- Can proactively identify opportunities for maximizing our customers’ business value through leveraging the Nanonets API.
- Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
- Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
- Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.
Additional Information
Hybrid role, (twice a week in our Palo Alto office), based in the Bay Area, CA. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $120,000 - $160,0000 per year. This role is also eligible for equity and other benefits.
Ready to apply?
Apply to Nanonets
About Nanonets
Nanonets has a vision to help computers see the world starting with reading and understanding documents.Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document related processes faster than ever before.
From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients. Our client footprint spans across brands such as Toyota, Boston Scientific, Bill.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data
We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.
Read about the release here: Forbes | TechCrunch
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
About the role
This is a full-time, on-site role for a Forward Deployed Engineer based in Bangalore, India.
In this role, you will work directly with customers to design, build, and deploy AI-driven systems into live production environments. You will operate at the intersection of frontend, backend, and infrastructure, owning problems end-to-end — from initial requirements to production rollout. You will design AI-native interfaces and workflows, integrate LLM-powered systems, and build real-time applications that connect software to physical operations.
Qualifications
- Experience building AI-native applications, including: chatbot / conversational interfaces, agentic workflows, RAG systems.
- Strong understanding of frontend system design, including: state management (local vs global vs server state), performance optimization, caching, and rendering patterns.
- Solid understanding of backend and infrastructure systems, including APIs, data flow, authentication/authorization, and secure data handling — with the ability to debug, design, and collaborate effectively across these layers
- Hands-on experience building production LLM systems, including RAG pipelines, agent orchestration, embeddings/vector search, and prompt design — with a strong understanding of trade-offs (latency, cost, hallucinations, reliability)
- Ability to own problems and systems end-to-end, from first principles and problem definition through design, implementation, and production.
- Strong foundations in computer science and software engineering principles
- Experience working in client-facing or high-ownership environments is a plus
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
Ready to apply?
Apply to Nanonets
About Nanonets
Nanonets has a vision to help computers see the world starting with reading and understanding documents.Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document related processes faster than ever before.
From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients. Our client footprint spans across brands such as Toyota, Boston Scientific, Bill.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data
We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
About the Role
As a senior fullstack engineer, you should be comfortable with both backend (Preferably Golang) and frontend (Preferably React). You will be primarily working on architecting and shipping new backend features like new integrations, enabling more machine learning API’s, building complex workflows & various growth hacking efforts. You will also work on optimizing response times, building features that will scale to 100’s of millions of documents we process every month.
What we expect from you
- Agility in shipping features
- Good at code design and architecture
- Great communication
- Backend experience - Preferably golang, python
- Databases - Understanding of data modeling for Nosql preferably cassandra.
- Strong fundamentals in OOP design patterns.
- Basic understanding of Devops.
- Curiosity and Willingness to learn new things while solving a challenging problem.
- Learning and incorporating best practices in software development, security and design/architecture.
What We're Looking For:
- B.E/B.Tech preferable from a Tier 1 college
- 3-8 yrs in software development with a strong foundation in software architecture and design as well one of frontend and backend development
- Proficiency in programming and development technologies.
- Strong familiarity with DevOps best practices and tools.
- Innovative mindset and a passion for driving engineering excellence.
Some of the interesting features we have shipped in backend
- Compile python code into C which could be imported into golang and then shipped as binary for on premise systems
- Autoscale GPU dependent services with kubernetes with a custom metric
- Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
- Building large number and variety of integrations with relatively generic interface like salesforce, quickbooks, RPA's, external databases
- Process large number of files in highly distributed manner in golang
- Intelligent lookups leveraging vector databases with data synced from ERP Systems
Some of the interesting things we have shipped in frontend -
- Ability for users to annotate documents so AI can learn which fields to extract.
- Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
- Letting users build complex visual workflows around our API in our product.
- Let users visualize complex ML metrics in a very simple and intuitive way
Our Tech Stack
- Databases
- Cassandra DB
- Postgres/MySQL
- Backend
- Golang for API and other microservices
- Python for Machine learning (Tensorflow, Pytorch)
- Frontend
- React, Typescript
- Mobx
- Cloud Providers
- AWS
- GCP for ML heavy workload
- Monitoring/Alerting
- ELK for logging
- Prometheus for Monitoring
- Graphana for dashboards
- Orchestration
- Kubernetes
- DevOps
- Jenkins for CI/CD
Ready to apply?
Apply to Nanonets
Nanonets is transforming the way businesses work. Our AI platform takes the manual, messy, time consuming work — that bog down industries like finance, healthcare, supply chain, and more — and turns them into seamless, automated processes. What once took hours of human effort now takes seconds with Nanonets. Our client footprint spans across 34% of Fortune 500 enabling businesses across various industries to unlock the potential of AI in automating their business processes.
More than 10,000 businesses trust Nanonets because we don’t just promise efficiency — we deliver it with unmatched accuracy, seamless integrations.
In 2024, we raised a $29M Series B led by Accel with continued backing from Elevation Capital and YCombinator, fueling our mission to reshape entire industries through intelligent automation. With revenues tripling year over year and a rapidly scaling global team, we’re not just imagining the future of work — we’re building it.
Read about the release here:
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
About the Role
As a Fullstack engineer, you should be comfortable with both backend (Preferably Golang) and frontend (React, Next). You will be primarily working on shipping new features like new integrations, enabling more machine learning API’s, and building complex workflows. You will also work on optimizing response times, building features that will scale to 100’s of millions of documents we process every month.
What we expect from you -
- B.Tech/B.E from a reputed educational institute.
- Agility in shipping features
- Good at code design and architecture
- Very good communication
- Backend experience - Preferably golang, python
- Databases - Understanding of data modeling for Nosql preferably cassandra
- Strong fundamentals in OOP design patterns
- Basic understanding of Devops
- Curiosity and Willingness to learn new things while solving a challenging problem
- Learning and incorporating best practices in software development, security and design/architecture
Some of the interesting features we have shipped in backend
- Compile python code into C which could be imported into golang and then shipped as binary for on premise systems
- Autoscale GPU dependent services with kubernetes with a custom metric
- Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
- Building large number and variety of integrations with relatively generic interface like salesforce, quickbooks, RPA's, external databases
- Process large number of files in highly distributed manner in golang
Some of the interesting things we have shipped in frontend
- Ability for users to annotate documents so AI can learn which fields to extract
- Displaying machine learning metrics in simplified ways to end users so they can act based on those metrics
- Letting users build complex visual workflows around our API in our product.
- Let users visualize complex ML metrics in a very simple and intuitive way
Thinking of applying? Try our resume builder— it's free, fast, and tailored to help you stand out.
Ready to apply?
Apply to Nanonets
About us
At Nanonets, we are building AI-powered automation agents to eliminate manual healthcare admin tasks - helping customers streamline operations and deliver better patient care. We are looking for a Senior Software Engineer who thrives in fast paced startup environments, enjoys shipping impactful products quickly, and can work across the stack to bring our AI agents to life.You’ll work with a small, high-performing team building production-grade AI agents - combining distributed systems, AI integration, and intuitive web platforms.
What You’ll do :
- Design, develop, and deploy AI agent services that automate healthcare workflows.
- Build scalable APIs, backend services, and sleek frontend interfaces.
- Ship high-quality, maintainable code - fast.
- Collaborate closely with product and AI teams to iterate on agent workflows.
- Monitor, debug, and improve production systems continuously.
What we expect from you :
- 5+ years of hands-on experience in full stack engineering.
- Experience working in a fast-moving startup, with a track record of shipping products quickly.
- Proficiency in at least one backend language (Go or Python) and one frontend framework (preferably React + TypeScript).
- Experience with using LLM APIs and LLM-based applications.
- Strong understanding of web architecture, distributed systems, APIs, and relational databases.
- Ability to write clean, testable code and solve production issues effectively.
- A builder’s mindset: ownership, initiative, and bias for action.
Nice to have :
- Familiarity with US healthcare or other regulated domains.
- Knowledge of DevOps practices, cloud infrastructure, and CI/CD pipelines.
Our Tech Stack :
- Backend: Go, Python
- Frontend: React, TypeScript
- Databases & Infra: PostgreSQL, Redis, AWS/GCP
Why join us ?
- Work on cutting-edge AI agents transforming the healthcare industry.
- Be part of a small, high-impact, no-bureaucracy team.
- Ship products that make a real-world difference for customers.
- Learn fast, grow fast - with competitive compensation & career growth opportunities.
Thinking of applying? Try our resume builder— it's free, fast, and tailored to help you stand out.
Ready to apply?
Apply to Nanonets
About Nanonets
Nanonets has a vision to help computers see the world starting with reading and understanding documents. Our product helps businesses automate document related workflows for enterprise office teams such as invoice data entry for AP teams, KYC automation for banks and insurance etc. Some of the companies we work with include Toyota, Boston Scientific, Bill.com and Entergy to name a few.
We recently raised a series B round of $29 million. Now we’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
Job description
At Nanonets, we are building AI-powered automation agents to eliminate manual healthcare admin tasks - helping customers streamline operations and deliver better patient care.
We are looking for a Full Stack Software Engineer who thrives in fast-paced startup environments, enjoys shipping impactful products quickly, and can work across the stack to bring our AI agents to life.
You’ll work with a small, high-performing team building production-grade AI agents - combining distributed systems, AI integration, and intuitive web platforms.
What You’ll do :
- Design, develop, and deploy AI agent services that automate healthcare workflows.
- Build scalable APIs, backend services, and sleek frontend interfaces.
- Ship high-quality, maintainable code - fast.
- Collaborate closely with product and AI teams to iterate on agent workflows.
- Monitor, debug, and improve production systems continuously.
What we expect from you :
- 3-6 years of hands-on experience in full stack engineering.
- Experience working in a fast-moving startup, with a track record of shipping products quickly.
- Proficiency in at least one backend language (Go or Python) and one frontend framework (preferably React + TypeScript).
- Experience with using LLM APIs and LLM-based applications.
- Strong understanding of web architecture, distributed systems, APIs, and relational databases.
- Ability to write clean, testable code and solve production issues effectively.
- A builder’s mindset: ownership, initiative, and bias for action.
Nice to have :
- Familiarity with US healthcare or other regulated domains.
- Knowledge of DevOps practices, cloud infrastructure, and CI/CD pipelines.
Our Tech Stack :
- Backend: Go, Python
- Frontend: React, TypeScript
- Databases & Infra: PostgreSQL, Redis, AWS/GCP
Why join us ?
- Work on cutting-edge AI agents transforming the healthcare industry.
- Be part of a small, high-impact, no-bureaucracy team.
- Ship products that make a real-world difference for customers.
- Learn fast, grow fast - with competitive compensation & career growth opportunities.
Thinking of applying? Try our resume builder— it's free, fast, and tailored to help you stand out.
Ready to apply?
Apply to Nanonets