Forward Deployed Engineer

Trail; Bengaluru Urban; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Trail, the context layer for AI agents, is seeking a Forward Deployed Engineer in Bangalore, India for a full-time, on-site role. You will work directly with customers to design, build, and deploy AI-driven systems into live production environments, owning problems end-to-end from requirements to rollout.

You will design AI-native interfaces, integrate LLM-powered workflows, and create real-time applications that connect software to physical operations, balancing performance, latency, and

Qualifications

• 2+ years as a Forward Deployed Engineer, software engineer, ML engineer or equivalent, startup experience preferred.
• Experience building AI-native applications, including chatbots, agentic workflows and RAG systems.
• Strong understanding of frontend system design, state management, performance optimization and rendering patterns.
• Solid understanding of backend and infrastructure systems, APIs, data flow and secure data handling.
• Hands-on experience with production LLM systems, including RAG pipelines and prompt design.

Responsibilities

• Design, build and deploy AI-driven systems into live production environments.
• Own problems end-to-end from initial requirements through production rollout.
• Design AI-native interfaces and workflows, integrate LLM-powered systems and real-time apps.
• Collaborate across frontend, backend and infrastructure layers to ensure reliability.

Skills

Frontend system design

AI-native applications

RAG pipelines

Agent orchestration

Embeddings / vector search

Prompt design

Production LLM systems

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Job description

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 and Youtube to learn more!

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)