About Nanonets
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) from a Tier 1 College
Responsibilities
- Partner with customers to scope, design, and ship AI solutions
- Own end-to-end delivery: problem → design → build → production
- 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