
1001 - 5000 employees
Founded 1972
💸 Finance
💳 Fintech
Finance • Fintech • Automotive
Credit Acceptance is a company that specializes in providing auto financing solutions to individuals, including those with bad credit history or no credit history at all. With over 50 years of experience, Credit Acceptance has helped more than 4 million consumers secure financing for vehicle purchases. The company operates a network of over 15,000 dealers and offers customers the ability to pre-qualify for auto financing, which does not impact their credit score. Furthermore, Credit Acceptance provides educational resources and tools, such as payment and auto price calculators, to assist customers in managing their finances and understanding their credit options. The company's mission is to drive possibility by offering financial solutions that give individuals the opportunity to improve their financial situation and secure reliable transportation.
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1001 - 5000 employees
Founded 1972
💸 Finance
💳 Fintech
Finance • Fintech • Automotive
Credit Acceptance is a company that specializes in providing auto financing solutions to individuals, including those with bad credit history or no credit history at all. With over 50 years of experience, Credit Acceptance has helped more than 4 million consumers secure financing for vehicle purchases. The company operates a network of over 15,000 dealers and offers customers the ability to pre-qualify for auto financing, which does not impact their credit score. Furthermore, Credit Acceptance provides educational resources and tools, such as payment and auto price calculators, to assist customers in managing their finances and understanding their credit options. The company's mission is to drive possibility by offering financial solutions that give individuals the opportunity to improve their financial situation and secure reliable transportation.
• 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
• 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
• 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
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