Forward Deployed Engineer

Nanonets; Bengaluru Urban; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Nanonets is hiring a Forward Deployed Engineer based in Bangalore, India. This full-time, on-site role partners with customers to design, build, and deploy AI-driven systems into live production environments, spanning frontend, backend, and infra.

You will own problems end-to-end from requirements to rollout, design AI-native interfaces, integrate LLM-powered workflows, and deliver real-time apps that connect software to physical operations.

Qualifications

• Experience building AI-native applications including chatbots and agentic workflows.
• Strong frontend system design skills: state management, performance optimization, caching, rendering patterns.
• Solid backend and infrastructure knowledge: APIs, data flows, auth, secure handling, cross-layer collaboration.
• Hands-on experience with production LLM systems: RAG pipelines, agent orchestration, embeddings, prompt design.
• Ability to own problems end-to-end from requirements to production rollout.
• Strong CS fundamentals and software engineering principles.
• Experience in client-facing environments is a plus.
• Bachelor's degree in CS, Engineering, or related field 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).
• Build real-time applications connecting software to operations.
• Debug and optimize across the full stack (frontend, backend, infra).
• Iterate rapidly based on user feedback and production learnings.
• Thrive in a high-ownership, client-facing environment.

Skills

AI-native apps

Frontend design

Backend systems

LLM pipelines

End-to-end ownership

CS fundamentals

Client-facing

Education

Bachelor's degree in CS or related

Tools

APIs

Vector search

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