Forward Deployed Engineer – Contract

Job not on LinkedIn

🔥 1 hour ago

🇮🇳 India – Remote

⏳ Contract/Temporary

🟢 Junior

🟡 Mid-level

👷🏻‍♀️ Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Trail

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2026

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Trail is a company that builds a consolidated "company brain" for AI agents: a context graph that stitches together documents, systems, SOPs, conversations and computed state into cited, reviewable business rules. Its product suite includes a Natural Language Rule Engine (business rules in plain English), an Agent Builder that turns SOPs into governed agents, and Trail-code, an open-source context layer for codebases. Trail connects to major models and agent platforms (Claude, ChatGPT, Microsoft Copilot, Bedrock, Vertex AI, LangChain, etc. ) via native retrievers, a Model Context Protocol server, and REST/GraphQL APIs so teams can point existing agents at a single, auditable source of truth. The platform emphasizes security and compliance (SOC 2 Type II, ISO 27001, GDPR, HIPAA BAA options), runs on tenant-controlled deployments, and targets enterprise use cases across finance, operations, supply chain, manufacturing, healthcare and financial services.

📋 Description

• Work directly with customers to design, build, and deploy AI-driven systems into live production environments • Operate across frontend, backend, and infrastructure • Own problems end-to-end from initial requirements to production rollout • Design AI-native interfaces and workflows • Integrate LLM-powered systems • Build real-time applications connecting software to physical operations

🎯 Requirements

• 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, and 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 • Ability to debug, design, and collaborate across frontend, backend, and infrastructure layers • Hands-on experience building production LLM systems, including RAG pipelines, agent orchestration, embeddings/vector search, and prompt design • Strong understanding of trade-offs involving latency, cost, hallucinations, and reliability • Ability to own problems and systems end-to-end, from 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

🏖️ Benefits

• Contract role placed on third-party payroll • Opportunity to work directly with customers • Exposure to live production AI-driven systems and physical operations • Remote work arrangement

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