Staff/Senior Staff Software Engineer, Enterprise AI Enablement

🕒 il y a 23 jours

🇺🇸 États-Unis – Télétravail

💵 $154 837 - $227 095 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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Credit Acceptance

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1972

💸 Finance

💳 Fintech

🚘 Automobile

Finance • Fintech • Automotive

Credit Acceptance est une entreprise spécialisée dans la fourniture de solutions de financement automobile aux particuliers, y compris ceux ayant un mauvais historique de crédit ou aucun historique de crédit. Avec plus de 50 ans d'expérience, Credit Acceptance a aidé plus de 4 millions de consommateurs à obtenir un financement pour l'achat de véhicules. L'entreprise opère un réseau de plus de 15 000 concessionnaires et offre aux clients la possibilité de se pré-qualifier pour un financement automobile, ce qui n'affecte pas leur cote de crédit. De plus, Credit Acceptance fournit des ressources éducatives et des outils, tels que des calculateurs de paiement et de prix d'automobile, pour aider les clients à gérer leurs finances et comprendre leurs options de crédit. La mission de l'entreprise est de donner une chance en offrant des solutions financières qui permettent aux individus d'améliorer leur situation financière et d'assurer un moyen de transport fiable.

Description

• Architect, build and ship the AI engineering systems that use state-of-the-art AI capabilities to power our entire ecosystem • Own these systems end to end, from the first conversation with the customer through production deployment, telemetry, and ongoing improvement • Design tools, agents, and platform capabilities to be built once and adopted many times across the enterprise • Convert ambiguous problems into production-ready solutions that are adopted across teams • Architect, build, and deploy applied AI solutions across high-value enterprise workflows e.g. automation, document intelligence, decision support, fraud intelligence, and intelligent assistants • Design and implement agentic orchestration systems that manage agent harnesses, context management, tool binding, reasoning steps, and business logic execution • Apply modern AI retrieval architectures to index, embed, and surface relevant enterprise knowledge as a foundation for agent context • Write unit-tests and validate your software against acceptance criteria • Document code and projects so others can easily understand, maintain and support • Lead code reviews and communicate application changes

🎯 Exigences

• Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience • Staff: Minimum 8 years of software engineering experience or comparable depth of experience • Senior Staff: Minimum 10 years of software engineering experience or comparable depth of experience • Experience in the lead role overseeing technical direction of a team of software engineering talent across multiple applications • Demonstrated experience in engineering AI systems, including LLM-driven and agentic architectures, orchestration frameworks, and tool integration • Proven ability to rapidly prototype and take ideas from POC to MVP to production, building and launching net-new products from the ground up • Strong understanding and use of one or more object-oriented programming languages and design patterns • Practical experience in data modeling, design and messaging • Experience working on mission-critical enterprise class applications • High ownership and ability to operate in ambiguous environments with a strong bias for action • Demonstrated ability to coach and mentor less experienced team members • Willingness to participate in an on-call rotation

🏖️ Avantages

• Excellent benefits package that includes 401(K) match • Adoption assistance • Parental leave • Tuition reimbursement • Comprehensive medical/ dental/vision • Many nonstandard benefits that make us a Great Place to Work