Forward Deployed Engineer

Trail; Bengaluru; On-site; INR 1,800,000 - 3,800,000; Full time

Job summary

Trail, based in Bangalore, India, is seeking a Forward Deployed Engineer to design, build, and deploy AI-driven systems in live production environments. You will work across frontend, backend, and infrastructure, owning problems end-to-end from requirements to production rollout.

You will craft AI-native interfaces, integrate LLM-powered components, and build real-time applications that connect software to physical operations, with a focus on performance, security, and reliability.

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, performance optimization, caching, and rendering patterns.
• Solid understanding of backend and infrastructure systems, including 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.

Responsibilities

• Collaborate with customers to design, build, and deploy AI-driven systems into live production environments.
• Own problems end‑to‑end from requirements to production rollout across frontend, backend, and infrastructure.
• Design AI-native interfaces and workflows that connect software to physical operations.
• Optimize latency, cost, and reliability while mitigating hallucinations in production systems.

Skills

Startup experience

Client-facing experience

Ownership mindset

AI-native applications

Frontend system design

Education

Bachelor’s degree in CS/Engineering/related field

Tools

LLM systems

RAG pipelines

Embeddings/Vector search

Job description

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 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)