Forward Deployed Engineer – Contract

Posted 5 days ago

This is a fully remote position, open to applicants in India.

πŸ“‹ Description

β€’ Collaborate closely with clients to design, construct, and implement AI-driven systems in live production settings.

β€’ Engage with frontend, backend, and infrastructure components.

β€’ Take ownership of challenges from initial requirements through to production deployment.

β€’ Create AI-native interfaces and workflows.

β€’ Integrate systems powered by LLM technologies.

β€’ Develop real-time applications that link software with physical operations.


⛳️ Requirements

β€’ A minimum of 2 years experience as a Forward Deployed Engineer, software engineer, ML engineer, or in a similar role.

β€’ Previous experience in a startup environment is preferred.

β€’ Background as a founder or founding engineer is an advantage.

β€’ Proven experience in developing AI-native applications, such as chatbot/conversational interfaces, agentic workflows, and RAG systems.

β€’ Strong grasp of frontend system architecture, encompassing state management, performance enhancement, caching, and rendering techniques.

β€’ Comprehensive understanding of backend and infrastructure systems, including APIs, data flow, authentication/authorization, and secure data management.

β€’ Capability to debug, design, and collaborate across frontend, backend, and infrastructure layers.

β€’ Practical experience in building production-level LLM systems, including RAG pipelines, agent orchestration, embeddings/vector search, and prompt engineering.

β€’ Solid understanding of the trade-offs related to latency, cost, hallucinations, and reliability.

β€’ Ability to manage problems and systems comprehensively, from problem identification to design, implementation, and production.

β€’ Strong foundational knowledge in computer science and software engineering principles.

β€’ Experience in client-facing or high-responsibility roles is a plus.


🏝️ Benefits

β€’ Contract position through a third-party payroll service.

β€’ Opportunity to engage directly with clients.

β€’ Gain experience with live production AI-driven systems and physical operations.

β€’ Flexible remote work arrangement.

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