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)
Skills Required
- 2+ years as a Forward Deployed Engineer, Software Engineer, ML Engineer, or equivalent
- Experience building AI-native applications, including chatbots, conversational interfaces, agentic workflows, or RAG systems
- Strong understanding of frontend system design, including state management, performance optimization, caching, and rendering patterns
- Solid understanding of backend and infrastructure systems, APIs, data flow, authentication, authorization, and secure data handling
- Hands-on experience building production LLM systems, including RAG pipelines, agent orchestration, embeddings, vector search, and prompt design
- Understanding of LLM trade-offs involving latency, cost, hallucinations, and reliability
- Ability to own problems and systems end to end, from problem definition through design, implementation, and production
- Strong foundations in computer science and software engineering principles
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Startup experience
- Founder or founding engineer background
- Experience working in client-facing or high-ownership environments
What We Do
Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning. At Nanonets, we serve up the most accurate models. Always.
