Senior Software Engineer – AI, Fullstack

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Agiloft

201 - 500 employés

Fondée en 1991

🏢 Entreprise

☁️ SaaS

🤖 Intelligence artificielle

💰 €45 000 000 Private Equity Round en 2020-08

Enterprise • SaaS • Artificial Intelligence

Agiloft est un fournisseur de premier plan de solutions de gestion du cycle de vie des contrats (CLM) d'entreprise conçues pour rationaliser et améliorer le processus de contractualisation. Leur plateforme d'accords axée sur les données est un multiplicateur de force qui aide les organisations à conclure des accords rapidement et de manière collaborative, en exploitant les données pour fonctionner de manière plus intelligente et transparente. Les offres d'Agiloft incluent des hubs d'intégration et une plateforme d'IA adaptée aux services aux entreprises, aux professionnels de la santé, aux juristes et aux services d'approvisionnement. Avec un taux de fidélisation de la clientèle élevé et une reconnaissance en tant que leader dans le Magic Quadrant de Gartner pour le CLM, Agiloft est connu pour son interface sans code conviviale et son service et support robustes. L'entreprise met l'accent sur les relations directes et la confiance, promettant d'aider ses clients à "Convenir et Prospérer".

Description

• Lead the design and development of core platform features using Python and an API-first approach • Build scalable, reliable backend services that power our applications, integrating seamlessly with a modern cloud-based architecture • Implement front-end features and help manage a growing React project in TypeScript • Collaborate with design and product teams to ensure that what we’re building is scalable, maintainable, and secure • Contribute to infrastructure and deployment workflows in our AWS serverless environment (e.g., Lambda, API Gateway, DynamoDB) • Independently lead proof-of-concept projects and tackle complex architectural and engineering challenges • Leverage AI-assisted tools to enhance productivity, streamline workflows, and support day-to-day activities • Other duties as assigned

🎯 Exigences

• At least 5 years of professional experience as a software engineer • Strong experience building backend services and APIs using Python in a product-focused environment • Proficiency with AWS cloud services, particularly within a serverless architecture • Familiarity with infrastructure-as-code, observability tools, and cloud-native best practices • Self-motivated and accountable, with a strong sense of ownership over the systems you build • Collaborative, low-ego team player who thrives in cross-functional settings • Creative and pragmatic problem solver with a mindset for building scalable, maintainable systems • Proficiency in using relevant AI Tools in the SLDC (Cursor, GitHub Copilot) coding, and/or API integrations

🏖️ Avantages

• Medical, dental, and vision insurance • Short term and long-term disability • Life insurance and AD&D • Supplemental life insurance (Employee/Spouse/Child) • Health care and dependent care Flexible Spending Accounts • 401(k) with company match • Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. • Paid parental leave • Voluntary benefits including pet insurance

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