Nanonets
Nanonets

Forward Deployed Engineer

TLDR

Design, build, and deploy AI-driven systems for customers, bridging frontend, backend, and infrastructure to deliver production-ready, AI-native workflows and real-time applications.

About Us:
Nanonets agents are built for complex business processes. Ranked #1 in understanding unstructured data and applying business rules in processes like accounts payable, order management, and supply chain.

Nanonets agents handle the exceptions other tools miss, reducing processing time by 94% and delivering clean data to SAP, Salesforce, or any system of record. That's why global enterprises reach for Nanonets when workflows are complex and accuracy is non-negotiable.

Learn more about us here:
Youtube
Hugging Face
Nanonets Research

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)

 

Nanonets builds an AI platform that automates complex business processes across industries like finance, healthcare, and supply chain, enabling companies to streamline workflows that once took hours into seconds. With a focus on understanding unstructured data and providing accurate integrations, Nanonets serves over 10,000 businesses, including 34% of Fortune 500 companies, by eliminating inefficiencies and enhancing operational precision.

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