Applied AI Specialist

🕒 il y a 7 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

🤖 Intelligence Artificielle

🚫👨‍🎓 Aucun diplôme requis

👻 Score fantôme 69%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Swans

Site WebLinkedInTous les Emplois

11 - 50 employés

⚖️ Juridique

💼 Conseil

🤖 Intelligence artificielle

Legal • Consulting • Artificial Intelligence

Swans est une entreprise de croissance dans le domaine juridique, spécialisée dans les cabinets traitant des blessures corporelles. Elle conçoit et met en œuvre des systèmes sur mesure basés sur l'automatisation et l'IA pour optimiser l'ensemble du cycle de vie des dossiers, de la prise en charge à la clôture. Elle offre des services pratiques (pas seulement des logiciels) pour réduire le travail administratif, automatiser la prise en charge et la rédaction de documents, augmenter le revenu par employé, et permettre une croissance plus efficace et rentable des cabinets.

Description

• You will deploy AI solutions that are practical, safe, and built to last. This means working across the full stack of modern AI implementation: custom integrations, automation workflows, LLM-powered tools, and hands-on enablement with client teams. • You will build the connectors, agents, and workflows that make AI actually work inside our clients' existing systems - and you will help our internal team move faster with AI as well. • You are embedded in client engagements and internal projects simultaneously. On the client side, you are building custom AI integrations, deploying workflows, and running enablement sessions that drive real adoption. • Internally, you are the person who helps the team move faster by identifying and deploying new AI capabilities as they emerge. • No two weeks look the same. One week you are building a custom MCP connector to pipe client data into an AI workflow. The next you are deploying a Make automation that replaces hours of manual work. The week after that you are running a training session that changes how a team of 10 people does their job.

🎯 Exigences

• Applied AI expertise - You are deeply familiar with the current AI landscape and know how to deploy it practically. You follow what is happening with LLMs closely and apply new capabilities fast. • Builder mentality - You do not just advise. You build the integrations, configure the tools, and deploy the systems yourself. • Technical breadth - You are comfortable working across APIs, automation platforms, and AI frameworks without needing a dedicated engineer to support you. • Autonomy - You can identify what needs to be built, figure out how to build it, and deliver without being micromanaged. • Enablement mindset - You genuinely enjoy helping others use AI effectively and can translate complex capabilities into practical habits for non-technical teams. • Curiosity - The field moves fast. You move with it. • Communication skills - You can explain AI concepts clearly to non-technical stakeholders. Client-facing experience is a plus, not a requirement. • Professional English fluency - B2 level at a minimum. • 2-5 years of experience deploying AI tools and systems in a professional context • Background in any industry is welcome. Experience in professional services, consulting, or agencies is a strong plus, as is prior client-facing experience • Ideally from a company of 50-200 people where you wore multiple hats • Hands-on experience with LLMs and the Claude and/or Google AI ecosystem (e.g. Gemini, AI Studio, Claude API) • Experience building and deploying automation workflows (e.g. Make, n8n, Zapier) • Experience working with REST APIs and building custom integrations • Familiarity with MCP (Model Context Protocol) or similar custom connector frameworks is a strong plus • Experience building custom AI agents, GPTs, or AI-powered tools • Comfort working with CRM and operational data as AI inputs • Experience helping teams adopt and embed AI tools into their daily workflows

🏖️ Avantages

• Competitive salary • Performance-based bonus & promotion path • Flexible benefits • Career-defining growth investment: we spent over $200,000 on team development last year - executive coaching, certifications, and training that accelerates your career beyond any traditional path