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Context - Forward Deployed Engineer

$160K - $220K New York, NY, US Mid Posted October 11, 2026

Role Description

Context (context.ai): AI Office Suite; SF, 12 people, $11M raised. Customers include KKR, Qualcomm.

Comp: $160K-$220K + equity. Location: Bi-coastal on-site; NYC strongly preferred, SF available; up to 50% travel. Visa: Open to visa transfers (OPT, H1B).

Responsibilities

  • Own Fortune 500 accounts end-to-end (PE, IB, insurance, tax & audit, semiconductors; e.g. KKR, Qualcomm)
  • Embed with customers and architect agentic solutions on the Context platform
  • Feed deployment insights into the core product roadmap
  • Help shape the founding FDE function with C-suite
  • Build custom AI workflows, data integrations and agent systems

Tech stack: Python, TypeScript, JavaScript, LLMs, Agent Frameworks, APIs, Data Pipelines, AWS, GCP, Azure, Slack/Google Workspace/Linear integrations

Source: https://www.paraform.com/share/context/cmtl1k34300000akychppz19i

  • 2-6 yrs FDE, AI implementation or applied AI at enterprise-facing companies
  • Led enterprise AI implementations; understands agent-driven development
  • Systems thinker across engineering, product and business
  • On-site NYC/SF; travel up to 50%

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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