# Forward Deployed Engineer - Company: [Nanonets]() - Location: Bengaluru - Team: Technology - Employment type: Full Time - Posted: March 17, 2026 ## Job description **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](https://www.youtube.com/watch?v=-xlaRA7HYNQ) [Hugging Face](https://huggingface.co/nanonets/Nanonets-OCR2-3B) [Nanonets Research](https://nanonets.com/research/nanonets-ocr-2/#key-features) 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) ## Apply [Apply on Nanonets]() Canonical job page: