Forward Deployment Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Forward Deployment Engineer (AI): Technical onboarding and integration of AI/ML platforms for enterprise customers with an accent on building integration scripts, tooling, and API optimization. Focus on diagnosing complex integration issues across cloud infrastructures and translating customer requirements into product roadmap enhancements.
Location: Remote (Must be based in the United States)
Salary: $140,000 – $200,000 per year + Bonus + Stock
Company
is an AI-powered platform that transforms written information into high-quality audio to make learning easier and more accessible for millions of users.
What you will do
- Own the end-to-end technical onboarding experience for enterprise customers from kickoff through successful integration.
- Build and maintain integration scripts, tooling, and documentation to accelerate customer time-to-value.
- Serve as the primary technical point of contact, translating customer requirements into actionable engineering solutions.
- Diagnose integration issues across APIs, data pipelines, and cloud infrastructure to drive them to resolution.
- Collaborate with product and engineering teams to surface customer feedback and influence the product roadmap.
- Develop reusable onboarding playbooks and internal tooling to scale the deployment process.
Requirements
- 3–6 years of experience in software engineering, solutions engineering, or technical implementation roles.
- Strong proficiency in Python or another backend language with ability to write production-quality code.
- Experience with REST APIs, webhooks, and common integration patterns.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and data infrastructure tools.
- Excellent communication skills for explaining complex technical concepts to diverse stakeholders.
- Must be based in the United States.
Nice to have
- Prior experience at an AI/ML or developer tools company.
- Familiarity with LLMs, vector databases, or ML model deployment.
- Experience with enterprise software environments including SSO, VPCs, and data residency requirements.
- Background in customer-facing engineering roles such as professional services or solutions engineering.
Culture & Benefits
- Direct influence on product direction based on customer insights.
- Competitive salary, equity, and comprehensive benefits package.
- Collaborative, low-ego environment with a commitment to building a great asynchronous culture.
- Hands-off management approach allowing for high ownership and autonomy.
- Opportunity to work on a life-changing product supporting people with learning differences like dyslexia and autism.
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