Forward Deployed Engineer

Nanonets; Bengaluru Urban; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Nanonets is hiring a Forward Deployed Engineer in Bangalore, India to design, build, and deploy AI-driven systems into live production environments. You will work across frontend, backend, and infrastructure, owning problems end-to-end—from initial requirements to production rollout.

You will partner with customers to scope AI solutions, build AI-native apps such as chatbots and RAG systems, and deploy scalable LLM workflows while balancing latency, cost, and reliability.

Qualifications

• Experience building AI-native applications, including chatbot / conversational interfaces, agentic workflows, and RAG systems.
• Strong frontend design: state management, performance optimization, caching, and rendering patterns.
• Backend and infrastructure expertise: APIs, data flows, authentication/authorization, and secure data handling.
• Hands-on production LLM systems: RAG pipelines, agent orchestration, embeddings/vector search, and prompt design.
• Ability to own problems end-to-end, from definition through design, implementation, and production.
• Strong CS foundations and software engineering principles.
• Experience in client-facing environments is a plus.

Responsibilities

• Partner with customers to scope, design, and ship AI solutions
• Build AI-native apps (chatbots, agents, RAG systems)
• Design scalable frontend systems with strong performance and state management
• Develop backend systems (APIs, data flows, auth, secure handling)
• Deploy and optimize LLM systems (latency, cost, reliability trade-offs)
• Build real‑time applications connecting software to operations
• Debug and optimize across the full stack (frontend, backend, infra)
• Iterate fast based on user feedback and production learnings
• Thrive in a high-ownership, client-facing environment

Skills

AI-native apps

Frontend system design

Backend & infrastructure

LLM systems

End-to-end ownership

CS fundamentals

Client-facing experience

Education

Bachelor’s degree in Computer Science/Engineering

Tools

APIs

Vector search / Embeddings

Prompt design

Job description

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:

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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) from a Tier 1 College

Responsibilities

• Partner with customers to scope, design, and ship AI solutions
• Build AI-native apps (chatbots, agents, RAG systems)
• Design scalable frontend systems with strong performance and state management
• Develop backend systems (APIs, data flows, auth, secure handling)
• Deploy and optimize LLM systems (latency, cost, reliability trade-offs)
• Build real‑time applications connecting software to operations
• Debug and optimize across the full stack (frontend, backend, infra)
• Iterate fast based on user feedback and production learnings
• Thrive in a high-ownership, client-facing environment