AI Solutions Engineer

nanonets· Sales
Apply Now ↗
📍 Gurugram

About this role

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

We’re looking for a technically strong, customer-facing problem solver to bridge product, engineering, and go-to-market teams. In this role, you’ll support the sales process by building tailored demos, validating technical requirements, and translating customer needs into practical workflows and solutions. You’ll work closely with Sales, Product, and Customer Success to ensure a smooth journey from discovery to onboarding, while also prototyping quick solutions to accelerate deal cycles.

What You’ll Do

  • Build and customize high-impact customer demos by setting up tailored environments and workflows aligned to each prospect’s use case, including configuring agents, integrations, and realistic sample data.
  • Partner closely with Sales on customer-facing calls to showcase technical capabilities, answer implementation questions, and translate product features into clear, customer-specific workflows and ROI narratives.
  • Drive technical validation during discovery by deeply understanding customer requirements, assessing feasibility, and evaluating integration needs across systems such as EHRs, payer portals, telephony platforms, and APIs.
  • Proactively identify edge cases, potential blockers, and any custom work required early in the sales cycle to ensure smooth downstream execution.
  • Support activation and onboarding by collaborating with Activation/Customer Success and Product teams to deploy custom agents, configure workflows, fine-tune prompts, and assist with initial QA/UAT.
  • Own rapid prototyping efforts by building lightweight workflows or custom solutions that help accelerate deal cycles and bridge gaps until fully productized features are available.

Required Qualifications -

  • B.E/B.Tech or from a Tier 1 school.
  • Minimum 2 years in a technical role.

Need to Have:

  • Python
  • Relational Database (any major DB)
  • Understanding of APIs
  • Git version control
  • Excellent written & verbal communication skills

Good to Have:

  • Experience with React, NodeJS, Golang, Cassandra, Kubernetes, Docker
  • Exceptional verbal and written communication skills, including the ability to work with technical and non-technical audiences; as well as communicate effectively to individual contributors, management, and executive leadership.
  • Strong communications skills, with the distinctive ability to empower and influence people without authority or a direct reporting relationship.

Frequently Asked Questions

Is the salary disclosed for the AI Solutions Engineer position at nanonets?
The salary for this AI Solutions Engineer role at nanonets is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the AI Solutions Engineer position at nanonets located?
This AI Solutions Engineer role at nanonets is based in Gurugram. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the AI Solutions Engineer at nanonets belong to?
This AI Solutions Engineer position is part of the Sales department at nanonets. See the full job description for more information about the team structure and responsibilities.
How do I apply for the AI Solutions Engineer position at nanonets?
Click the "Apply Now" button on this page. You will be redirected to nanonets's official application portal hosted on greenhouse where you can submit your application directly.
When was the AI Solutions Engineer job at nanonets posted?
This AI Solutions Engineer position at nanonets was posted on Jan 9, 2026. Apply as soon as possible — early applications are often reviewed first.
AI Solutions Engineer
nanonets
Apply for this role ↗

You'll be redirected to nanonets's official application page on Greenhouse.