Forward Deployed Engineer (Agentic AI) - $250m Series B

Ikuto; San Francisco (CA); Hybrid; USD 185,000 - 250,000; Full time

Benefits offered by this job

Equity

Visa sponsorship

Relocation assistance

Job summary

Ikuto is seeking a Forward Deployed Engineer to embed with portfolio companies and own live, production-grade AI deployments end-to-end.

You will work across multiple offices in San Francisco, New York, and Toronto with a hybrid pattern (3+ days in office) and occasional travel. The role emphasizes end-to-end delivery, coupling technical depth with business acumen.

Qualifications

• 3–6 years of experience in full-stack engineering, product engineering, or forward-deployed roles; new grads with direct FDE/LLM deployment experience welcome.

Responsibilities

• Embed & Discover: identify workflow opportunities for AI automation with portfolio leadership.
• Ship Production Systems: build full-stack integrations, prompts, evals, and UI surfaces for live deployments.
• Operate & Scale: tune autonomy tiers, monitor performance, and transition workflows to internal teams.
• Serve as Technical Lead: act as the technical face of the platform to non-technical operators and executives.
• Codify Playbooks: capture patterns to HQ for reusable deployment playbooks.

Skills

Full-stack engineering

TypeScript

Python

React

SQL

LLM/Agentic systems

Travel-ready

Job description

Location: San Francisco, CA | New York, NY | Toronto, Canada (Hybrid - 3+ days in office)

Compensation: $185,000 - $240,000 Base + Competitive Equity + Visa/Relocation Support

About the Opportunity

We are recruiting for a high-growth, $250M Series B software holding company backed by top-tier Silicon Valley venture firms and premier technology founders. Unlike traditional investment firms, this team acquires, builds, and scales vertical market software businesses for the long term.

They are looking for an entrepreneurial Forward Deployed Engineer (FDE) to embed directly with portfolio companies (portcos), identify high-leverage operational bottlenecks, and ship live, production-grade agentic software. This is a Palantir-style deployment role—you won't be building pitch decks or quick prototypes; you will own running systems end-to-end that compound value across an entire portfolio.

What You’ll Do

• Embed & Discover: Work closely with portfolio leadership to understand their operational models and identify key workflow opportunities for AI automation.
• Ship Production Systems: Build full-stack integrations, prompts, evals, and UI surfaces to deploy live agentic loops directly into company operations.
• Operate & Scale: Post-launch, tune autonomy tiers, monitor system performance, and smoothly transition stable workflows to internal ops teams.
• Serve as Technical Lead: Act as the technical face of the platform to non-technical operators and executives, establishing trust through execution.
• Codify Playbooks: Bring patterns back to HQ to build reusable platform playbooks that accelerate future deployments.

What We’re Looking For

• Experience: 3-6 years of experience in full-stack engineering, product engineering, or forward-deployed roles. (High-potential new graduates with direct FDE or LLM deployment experience are also welcome to apply).
• Full-Stack Technical Depth: Proficiency across TypeScript/Python, React, and SQL—you must be comfortable owning end-to-end delivery solo.
• Production LLM/Agentic Systems: Hands-on experience shipping real AI systems featuring evals, autonomy gating, and outcome tracking (not just demos).
• Operator Instincts: Ability to read a P&L, understand business drivers, and translate non-technical operational bottlenecks into technical solutions.
• Travel & Work Setup: Based in (or open to relocating to) New York, San Francisco, or Toronto, with a hybrid setup (3-4 days in-office) and occasional domestic travel to portfolio sites.

What’s on Offer

• Competitive Salary: $185K - $250K base salary + equity.
• Relocation & Sponsorship: Open to H1B transfers and providing full relocation assistance.
• Unrivaled Exposure: Direct line of sight into executive management, high-growth AI implementations, and a $250M capital foundation