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# Forward Deployed Engineer (US)

- **Company:** Ishir, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Python (Programming Language), Laravel, Node.Js, TypeScript, ReactJS, Large Language Models, Multi-Agent Systems, Serverless Computing
- **Published:** August 5, 2026
- **Apply:** https://ishir.breezy.hr/p/20b6d1dd05ac-forward-deployed-engineer-us/apply?source=BuiltInNationwide

## About the Role

Required Skillsets (5-8 years, with at least 1-2 years in a client-embedded or startup-style role)

 * Strong full-stack engineering (React/TypeScript, Node or Python/Laravel backends)
 * Hands-on experience with LLM APIs (OpenAI, Anthropic, Bedrock) and agent frameworks
 * Comfort working directly with clients with minimal internal support
 * Cloud deployment experience (AWS Serverless, Azure)
 * Strong ownership mentality; thrives in ambiguity

Preferred Education

 * Prior GovTech, healthcare, or real estate/PropTech domain exposure; experience standing up AI from zero in a client account

## Description

Embed with client teams to rapidly prototype and iterate AI/agent solutions, own PoC-to-production handoff, troubleshoot integrations across APIs and data sources, bridge delivery and client engineering teams, and feed field learnings into reusable accelerators and playbooks., We are seeking a mid-level Forward Deployed Engineer (FDE) embedded, client-facing engineer who sits close to the client's environment, rapidly prototypes AI solutions, and hardens them into production alongside the client's own team. Critical wherever ISHIR is building AI capability into an
account that has thin or no internal AI engineering.
Principal Responsibilities

 * Embed directly with client stakeholders to understand workflows, data, and constraints firsthand
 * Rapidly prototype AI/agentic solutions and iterate based on real usage, not just requirements docs
 * Own the handoff from proof-of-concept to production-grade deployment
 * Bridge the gap between ISHIR delivery teams and client engineering/business teams
 * Troubleshoot integration issues across client APIs, data sources, and infrastructure in real time
 * Feed field learnings back into ISHIR's reusable accelerators and playbook.


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