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SimpleCiti

Forward Deployed Engineer

$80K - $120K Garden City, NY, US Mid Posted May 12, 2026

Role Description

We are hiring a Forward Deployed Engineer to build real autonomous AI agents that can execute business work inside our company’s existing tech stack.

This is not a role for basic automation builders, scraping bot developers, or chatbot-only developers. We need someone who has built agentic systems that can understand a goal, plan the steps, use tools, take action, make decisions within defined limits, and complete work the way a trained human operator would.

The role will focus on building agents that can operate across CRM, email, calendar, documents, spreadsheets, databases, internal systems, and third-party software. These agents should be able to retrieve information, update records, create outputs, communicate when needed, escalate for approval, and complete multi-step business objectives with minimal human direction.

Requirements

  • Experience building autonomous AI agents or agentic AI systems.
  • Strong understanding of agent architecture, planning, reasoning, tool use, memory, state tracking, and multi-agent orchestration.
  • Experience with agentic frameworks such as NemoClaw, OpenClaw, Hermes, or comparable frameworks.
  • Ability to connect agents to real business systems, including APIs, CRMs, email, documents, databases, and internal tools.
  • Experience building agents that can execute tasks, not just generate text or recommendations.
  • Strong software engineering skills in Python, JavaScript, TypeScript, or similar languages.
  • Experience with guardrails, human approval flows, logging, observability, testing, and reliability controls.
  • Ability to work directly with leadership, understand business workflows, and turn operational needs into deployed agentic systems.

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.

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