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Forward Deployed Engineer

Full Stack Full-time Permanent Remote

Job details

$120K – $140K • Offers Equity Salary
Remote Eligibility
Lead Experience
Full-time Employment

About this role

Role overview Own technical work across the customer lifecycle for a platform used to make fraud, credit, and compliance decisions. This customer-facing engineering role combines solution design, implementation, configuration of AI-driven workflows, production support, and feedback that can improve the platform.

Responsibilities - Lead technical discovery with prospective customers to understand data, integration, and risk decisioning needs. - Design and demonstrate proof-of-concept solutions, including API patterns, data flows, and agent workflows. - Deliver implementations from kickoff through go-live, covering data mapping, workflow setup, and user acceptance testing. - Configure decision rules and multi-step AI workflows for areas such as onboarding, fraud investigation, credit decisions, alert triage, and compliance monitoring. - Diagnose integration and production issues, review system outputs, and lead technical health reviews and escalations. - Train customer teams, contribute technical input to proposals and security reviews, and share field insights with internal teams.

Requirements - At least five years in a technical customer-facing role such as solutions engineering, technical account management, or forward deployed engineering, ideally in B2B software, fintech, or AI. - Demonstrated ownership of technical implementations from scoping through production launch. - Strong knowledge of REST APIs, webhooks, integration patterns, SQL, JSON, data schemas, and enterprise architectures. - Hands-on experience with large language models: building practical solutions, refining prompts, inspecting logs, and troubleshooting behavior. - Experience with AI coding tools and the ability to configure complex software platforms and build lightweight integrations. - Familiarity with agent orchestration, tool use, human review, evaluation methods, and cloud platforms such as AWS, GCP, or Azure.

Nice to have - Financial services experience in fraud, credit risk, anti-money laundering, compliance, or payments. - Experience deploying AI or machine learning platforms, agent workflows, or LLM-powered systems in enterprise settings.

Benefits and work setup The role offers salary and equity, a 401(k), unlimited paid time off, and employer-covered medical, dental, and vision coverage for U.S. employees and their dependents. Team events, offsites, and professional growth opportunities are also described.

Skills detected in the listing

GoSQLSnowflakeData EngineeringRequirements GatheringStakeholder ManagementAWSGCPAzureLLM
Detected Oct 29, 2026
Last verified Oct 29, 2026

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