Forward Deployed Engineer

NanoNets
Bengaluru
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 2+ yearsEducation: bachelorsSkills: ["Ownership","End-to-end problem solving","Cross-functional collaboration"]

Work directly with customers to design, build, and deploy AI-driven systems in live production environments. Own problems end-to-end—from requirements and system design through production rollout—working across frontend, backend, and infrastructure. Build AI-native interfaces and workflows, integrate LLM-powered components, and develop real-time applications that connect software to physical operations, with a focus on reliability, latency, and cost trade-offs.

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FursaFursa
NanoNets
NanoNets
5 months ago

Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Work directly with customers to design, build, and deploy AI-driven systems in live production environments. Own problems end-to-end—from requirements and system design through production rollout—working across frontend, backend, and infrastructure. Build AI-native interfaces and workflows, integrate LLM-powered components, and develop real-time applications that connect software to physical operations, with a focus on reliability, latency, and cost trade-offs.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with customers to design, build, and deploy AI-driven systems into production environments.
  • •Own end-to-end problems from initial requirements through production rollout.
  • •Design AI-native interfaces and workflows for real-time applications connecting software to physical operations.
  • •Integrate LLM-powered systems, including RAG pipelines and agent orchestration.
  • •Collaborate across frontend, backend, and infrastructure to implement reliable, secure, and performant solutions.

Key Requirements

  • •2+ years as a Forward Deployed Engineer, software engineer, ML engineer, or equivalent (startup experience preferred).
  • •Experience building AI-native applications, including chatbot/conversational interfaces, agentic workflows, and RAG systems.
  • •Strong frontend system design skills (state management, performance optimization, caching, rendering patterns).
  • •Solid understanding of backend and infrastructure systems (APIs, data flow, authentication/authorization, secure data handling).
  • •Hands-on experience building production LLM systems, including RAG pipelines, agent orchestration, embeddings/vector search, and prompt design.
Experience:2+ yearsStartup
Education:Bachelor's
Skills:OwnershipEnd-to-end problem solvingCross-functional collaboration
Tech Stack:LLMRAGAgentic workflowsChatbotConversational interfacesEmbeddingsVector searchPrompt designAPIsAuthenticationAuthorizationCaching

Company Brief

NanoNets
Provides AI-based document automation and OCR solutions to extract data from invoices, receipts, forms, and documents using customizable machine learning models and APIs for enterprise workflows.
Industry: SaaS
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Boston, United States
WebsiteLinkedIn