AI Solutions Engineer, Forward Deployed

🕒 il y a 2 jours

🇺🇸 États-Unis – Télétravail

💵 $136 000 - $179 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 0%

infoinfo

🗣️🇺🇸🇬🇧 Anglais requis

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DailyPay

501 - 1000 employés

Fondée en 2015

💳 Fintech

🤝 B2B

👥 RH Tech

Fintech • B2B • HR Tech

DailyPay est une entreprise de technologie financière qui propose une plateforme de paiement à la demande, permettant aux employés d'accéder à leur salaire gagné avant le jour de paie. Ce service permet aux salariés de prendre le contrôle de leur situation financière, ce qui augmente leur engagement, leur motivation et leur satisfaction au travail. DailyPay vise à aider les organisations à améliorer les taux de recrutement et de rétention tout en réduisant le turn-over grâce à ses solutions innovantes de bien-être financier.

Description

• Shadow domain experts across departments to uncover workflows, pain points, and bottlenecks • Design and ship automation, MVPs, custom scripts, and API integrations • Mature solutions into managed, durable agents • Define metrics with stakeholders, track adoption and ROI, and prioritize projects based on feasibility, risk, and business value • Design, build, evaluate, and operate AI workflows • Implement evaluation frameworks, guardrails, observability, and feedback loops • Advise non-technical teams on evaluating, configuring, and using AI features in their SaaS stack • Mentor peers in AI development and create reusable documentation and training • Demonstrate emerging AI capabilities across the company • Steer hosted harness and local harness development using problems, prototypes, and workflows developed with departments • Benchmark model performance and optimize prompt/token usage • Manage API latency and monitor operational costs • Ensure department-level AI work follows company policies on data privacy, security, and ethical use

🎯 Exigences

• 3+ years of professional software development experience • Strong proficiency in Go or JavaScript, ideally both • Standard engineering practices, including version control and testing • Hands-on experience building or contributing to applications with Large Language Models (LLMs) or managing complex workflows using AI tools • Deep understanding of AI-powered projects, including agent design, skills, context, and memory • Experience working with APIs and MCPs of company platforms such as Jira, GitHub, or Salesforce • Ability to translate complex machine learning and engineering concepts into plain, business-friendly language • Track record of analyzing business operations and formulating technical requirements from vague problems • Ability to prioritize solutions based on ROI • High emotional intelligence and comfort working autonomously inside non-technical departments • Demonstrated ability to build trust as a collaborative peer

🏖️ Avantages

• Exceptional health, vision, and dental care • Opportunity for equity ownership • Life and AD&D, short- and long-term disability • Employee Assistance Program • Employee Resource Groups • Fun company outings and events • Unlimited PTO • 401K with company match

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