Forward Deployed Engineer
Trail
Forward Deployed Engineer
Trail
Digital operations platform for hospitality checklists
About Us:
Trail is the context layer AI agents run on. We're building the missing layer between your company's rules, exceptions, and institutional knowledge and the agents trying to act on them. It's a governed graph that lets any agent or platform, including Trail agents, make the right call on your most complex business processes. Agents today fail not because models are weak, but because they're never given the judgment a business builds up over years. We're fixing that.
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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)
Trail provides a digital operations platform for hospitality to replace paper-based processes, centered on a smart checklist that guides daily tasks like food safety and opening/closing checks. It works by prompting the right team member at the right time, logging every completed action to support accountability, audits, and inspection readiness, and offering features such as custom tasks, record logs, audits, dashboards, corrective actions, and real-time alerts, plus an AI Copilot for policy questions. It differentiates itself by targeting multi-site hospitality operations with a clear path from paper to digital workflow, comprehensive audit and compliance tools, and scalable pricing based on active sites with unlimited users. Trail aims to boost operational efficiency, consistency, and compliance across hospitality teams by replacing manual paperwork with an integrated, data-driven system.
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