Senior Software Engineer, Enterprise AI Enablement

🕒 Julho 10

🇮🇳 Índia – Remoto

💵 ₹3.881.995 - ₹5.693.592 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 3%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Credit Acceptance

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1972

💸 Finanças

💳 Fintech

🚘 Automotivo

Finance • Fintech • Automotive

A Credit Acceptance é uma empresa especializada em fornecer soluções de financiamento de automóveis para indivíduos, incluindo aqueles com histórico de crédito ruim ou sem histórico de crédito. Com mais de 50 anos de experiência, a Credit Acceptance ajudou mais de 4 milhões de consumidores a garantir financiamento para a compra de veículos. A empresa opera uma rede com mais de 15. 000 concessionárias e oferece aos clientes a possibilidade de pré-qualificação para financiamento de automóveis, o que não impacta sua pontuação de crédito. Além disso, a Credit Acceptance fornece recursos e ferramentas educacionais, como calculadoras de pagamento e de preço de automóveis, para ajudar os clientes a gerenciar suas finanças e compreender suas opções de crédito. A missão da empresa é impulsionar possibilidades oferecendo soluções financeiras que proporcionem aos indivíduos a oportunidade de melhorar sua situação financeira e garantir transporte confiável.

Descrição

• Work closely with customers, product partners, and team members to understand workflows, clarify requirements, and translate needs into well-scoped technical deliverables. • Build applied AI capabilities across high-value enterprise workflows such as automation, document intelligence, decision support, fraud intelligence, and intelligent assistants. • Implement context-aware agentic systems that orchestrate tools, APIs, reasoning steps, and business logic using established architecture patterns • Identify when existing agents, models, APIs, or platform capabilities can be reused and contribute to practical build vs. reuse recommendations. • Stay current on practical AI engineering patterns and bring forward ideas that improve quality, speed, or customer value. • Design and develop software and improve existing code to make it more efficient to detect bugs in the code • Write unit-tests and validate your software against acceptance criteria • Author, apply and advocate for team coding, documenting and testing standards • Conduct impact analysis to proactively identify impact of a change across multiple applications • Learn the business process domain to better support the business • Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions • Lead code reviews and communicate application changes • Document code and projects so others can easily understand, maintain and support • Debug the problems which arise in production and propose effective solutions within the application and across multiple applications • Read, write and review design documents • Contribute to team's sprint commitments and actively participate in our Agile practices • Lead continuous learning activities to improve design and code quality as well as to increase application domain knowledge • Participate in the talent selection process • Guide and review the code, designs and documentation of less experienced software engineers

🎯 Requisitos

• Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience • Minimum 5 years of software engineering experience or comparable depth of experience • High ownership, sound judgment, and ability to operate effectively in partially defined or ambiguous problem spaces, with a bias for action. • Working knowledge of AI-enabled systems, including LLM powered applications, agentic and tool-based workflows, prompt and context engineering patterns, model integration and evaluation • Strong grasp of software engineering fundamentals, including system design, APIs, CI/CD, version control, and disciplined development workflows • 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 • Demonstrated ability to coach and mentor less experienced team members • Willingness to participate in an on-call rotation

🏖️ Benefícios

• Flexible work options including work from home, on site and hybrid positions • Company provided technology packages for all Team Members • An atmosphere that is collaborative, challenging, and filled with forward thinking Team Members • Extensive growth opportunities as demonstrated by our track record of promoting internally • Ongoing business training and career development opportunities • Competitive market-based salary with bonus compensation, quarterly profit sharing and annual merit bonuses • Generous PTO and holidays that include 27.5 total days during first full year of employment • Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work