Forward Deployed Engineer

Trail; India; Remote; INR 180,000 - 300,000; Part time

Job summary

Trail seeks a Forward Deployed Engineer to design, build, and deploy AI-driven systems in live production environments. You will own problems end-to-end across frontend, backend, and infrastructure, delivering AI-native interfaces and LLM-powered workflows for real-time operations.

Based in India with remote work, you will collaborate with customers, focusing on latency, cost, and reliability while advancing RAG pipelines and agent orchestration.

Qualifications

• Experience building AI-native applications including chatbots and agentic workflows.
• Strong frontend design understanding: state management, performance, caching, rendering.
• Solid backend/infrastructure skills: APIs, data flow, auth, secure data handling.

Responsibilities

• Collaborate with customers to design AI-driven systems for production.
• Own end-to-end delivery from requirements to deployment.
• Build AI-native interfaces and workflows and integrate LLM-powered systems.
• Develop real-time applications connecting software to physical operations.

Skills

Frontend system design

Backend and infrastructure

Production LLM systems

AI-native interfaces

Client-facing experience

Problem ownership

Software engineering fundamentals

Job description

Forward Deployed Engineer

Location

India

Employment Type

Contract

Location Type

Remote

Department

Technology

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.

Visit our Website Website and Youtube to learn more!

About the role

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

Location: Remote