Forward Deployed AI Engineer (Agent Studio) – Full-Stack & AI Agent Deployment
Own end-to-end deployment of AI agents for customer-facing workflows, driving revenue growth through rapid iteration and direct customer collaboration. Bridge AI engineering, sales, and business outcomes with high autonomy, targeting measurable outcomes like 5x meeting bookings in trials. Requires 5+ years of full-stack/product engineering experience with AI agent deployment, Python, TypeScript, and prompt engineering expertise.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
🚀 We’re Hiring: Forward Deployed Engineer – Agent Studio
📍 Location: San Francisco, CA
🏢 Work Model: Hybrid — 3+ days/week in office
💼 Employment: Full-time
💰 Salary: $215,000+Base
📈 Equity: Competitive equity
👥 Openings: 2
🛂 Visa: Open to visa transfers, including OPT and H-1B transfers; relocation supported
🎯 About the Role
We’re looking for a Forward Deployed Engineer to own the end-to-end deployment of AI agents with design-partner customers and drive measurable revenue impact.
This is a high-agency engineering role where you’ll work directly with customers, rapidly ship agent improvements, and bridge the gap between AI engineering, customer needs, sales, and business outcomes.
🛠️ What You’ll Do
- Deploy and iterate on AI agents for account strategy, prospecting, outbound emails, LinkedIn DMs, call preparation, and follow-ups.
- Work directly with customers through Slack, calls, and rapid feedback loops.
- Translate customer pain points into production agent improvements.
- Build AI agents that automate nuanced SDR workflows.
- Develop evaluations, trust calibration, and mechanisms for agents to improve over time.
- Own deployment outcomes end-to-end with high autonomy.
- Target measurable outcomes such as 5x meetings booked within a one-month trial.
- Communicate with sales teams, engineers, and executive leadership.
- Identify opportunities and rapidly ship improvements based on real-world customer feedback.
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✅ Key Requirements
- 5+ years of engineering experience, ideally as a Technical Founder, Founding Engineer, Forward Deployed Engineer, or high-performing Product/Full-Stack Engineer.
- 3–8 years of relevant full-stack/product engineering experience with customer-facing agentic deployment or FDE experience.
- Proven experience building and shipping production AI agents or agentic workflows.
- Strong proficiency in Python, TypeScript, and Node.js.
- Strong AI-native skills including:
- Prompt engineering
- Tool use
- Agent evaluations
- Trust calibration
- Experience responding to customer feedback with rapid production changes.
- High agency and comfort operating without a predefined playbook.
- Strong communication across technical, business, sales, and executive audiences.
- Familiarity with GTM/sales workflows.
- Technical degree preferred.
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⭐ Ideal Background
Candidates with experience in any of the following are especially encouraged to apply:
- AI teams at Big Tech or recognizable growth-stage startups.
- Production AI agents deployed to external users at scale.
- Enterprise customer environments with complex or ambiguous technology stacks.
- Technical founding teams or early-stage engineering roles.
- 0-to-1 product ownership.
- Forward-deployed or customer-embedded engineering.
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🚫 This Role Is Not Ideal For
- Pure backend/infra engineers without customer-facing agentic experience.
- Solutions engineers who primarily configure existing platforms rather than build.
- Consulting-only profiles without substantial production engineering experience.
- Candidates who require heavy PM/manager direction or a predefined playbook.
🤖 Tech Stack
AI Agents | LLMs | Prompt Engineering | Python | TypeScript | Node.js
If you’re passionate about AI agents, full-stack engineering, customer-facing deployment, and solving ambiguous problems with high ownership, this is an opportunity worth exploring.
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