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Open nowPosted 220 days ago

Forward Deployed Engineer

Nanonets9 open roles

Where
Bangalore
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Your applicationOpen nowForward Deployed EngineerNanonets · Bangalore
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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Nanonets postings stay open a median of 7 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 220 days ago

Nanonets median: 7 days open

The posting

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

  • 2+ years as a Forward Deployed Engineer, software engineer, ML engineer or equivalent — startup experience preferred; founder or founding engineer background is a plus.
  • 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)
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