F

Forward Deployed Engineer

forcev technologies • United State
Visa Sponsorship
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Own end-to-end enterprise customer engagements by scoping technical workflows and building custom AI automations. Balance 70% hands-on coding with 30% customer scoping to ship production-ready solutions for the insurance industry. Requires 3-6 years of software engineering experience, full-stack proficiency, and a degree from a top-tier university.

Key Highlights
Direct ownership of strategic enterprise accounts from scoping to production deployment
Rapid iteration of AI agents and automations integrated into a core platform
High-agency role requiring 5 days/week on-site presence in San Francisco
Key Responsibilities
Own technical engagements end-to-end for strategic enterprise accounts, from initial technical scoping to live production deployment.
Build, deploy, and scale custom AI agents and automations tailored to complex business domain workflows.
Partner directly with post-sales enterprise stakeholders to translate intricate domain requirements into robust software architectures.
Extract patterns from account-specific deployments and refactor them into reusable, scalable core platform features.
Drive high-velocity engineering decisions without existing playbooks to establish clear processes and execution patterns.
Technical Skills Required
Python TypeScript Full-stack Engineering
Benefits & Perks
Visa transfers (OPT, H-1B)
Nice to Have
Hands-on experience building or deploying AI/ML automations, LLM pipelines (e.g., OpenAI, LangChain), or agentic workflows in production environments.
Domain exposure to the insurance or financial services sectors.

Job Description

About the Opportunity:

ForceV Technologies is partnering with a fast-growing, VC-backed technology company based in San Francisco that is modernizing the $1.5 trillion insurance industry through AI-native automation and platform engineering.

We are hiring Forward Deployed Engineer to own enterprise customer engagements end-to-end. This is a hands-on, customer-facing technical role sitting at the intersection of AI, product engineering, and implementation roughly 70% hands-on coding and 30% customer scoping.

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