Role Description The Software Engineer III will work on a cross-functional agile team in operational tools, product, or infrastructure. You will work alongside software and production engineers to build and ship new features that will drive the growth of ACV Auctions. We value practical software experience in addition to a thorough understanding of computer science fundamentals. The technologies you are familiar with are less important to us than your ability to solve complex software problems and apply software engineering best practices. - Actively and consistently support all efforts to simplify and enhance the customer experience. - Design, develop, and maintain code for our web-based applications, backend services, and distributed systems. - Collaborate with software and production engineers to design scalable services, plan feature roll-out, and ensure high reliability and performance for your products. - Conduct code reviews, contribute high-quality documentation and build robust test suites for your products. - Perform other duties as assigned. Qualifications - 4 Year / Bachelors Degree - Computer Science or a related technical discipline required. - 5 year(s) Experience with programming in at least one or a combination of the following: Python, Java, C#, Perl, or JavaScript. - Ability to read, write, speak and understand English. - You have experience in a highly iterative environment with automated testing and continuous delivery. - Experience building RPC services using either Thrift, gRPC, or equivalent. - Experience with containers and Kubernetes. Benefits - Multiple medical plans including a high deductible, low cost health plan. - Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance. - Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/ID Protection, and Accident and Critical Illness Insurance. - Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation. - Employee Stock Purchase Program with additional opportunities to earn stock in the Company. - Retirement planning through the Company’s 401(k). Company Description ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. - Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services.

Role Description Corpay is currently looking to hire an AI Contact Center & Virtual Agent Engineer. In this role, the AI Contact Center & Virtual Agent Engineer will be specializing in next-generation customer engagement platforms. This role is responsible for designing, architecting, implementing, and supporting AI-powered contact center ecosystems, including intelligent virtual agents (IVAs), conversational AI platforms (AI Agents), and omnichannel customer engagement solutions. The engineer will play a critical role in integrating AI-driven voice and digital channels with enterprise systems, ensuring seamless automation, high availability, and exceptional customer experience. This includes working with platforms such as NICE Cognigy, WestCX Orchestrate, and other conversational AI frameworks, along with speech services, orchestration layers, and backend integrations. The candidate will collaborate closely with network, security, data, and application teams to ensure a scalable, resilient, and secure architecture supporting AI-driven interactions across voice and digital channels. This role will also partner with business stakeholders to optimize automation strategies, improve containment rates, and drive measurable business outcomes. Role Responsibilities - Designing and deploying AI-powered contact center architectures, including IVA, voice bots, chatbots, and omnichannel routing solutions. - Architecting and implementing integrations between conversational AI platforms (e.g., NICE Cognigy, WestCX Orchestrate) and enterprise systems (CRM, ERP, identity platforms). - Serving as the internal subject matter expert for conversational design, natural language understanding (NLU), and dialogue orchestration. - Leading the design and optimization of voice AI pipelines, including speech-to-text, text-to-speech, intent recognition, and real-time decisioning. - Developing and maintaining call flows, conversation flows, and automation logic, ensuring high containment and positive user experience. - Collaborating with data and analytics teams to implement AI model training, tuning, and performance monitoring, including intent accuracy and deflection rates. - Integrating AI solutions with NICE CXone contact center platform including Automated Call Summaries, Automated QA, and Real-Time Assist (Copilot). - Partnering with network and infrastructure teams to ensure low-latency, high-quality voice and API performance for real-time AI interactions. - Providing expert-level technical support for AI-driven customer engagement systems, troubleshooting issues across voice, chat, and backend integrations. - Leading the support process development and operationalization of newly deployed AI Contact Center and Virtual Agent technologies. - Leading automation and orchestration initiatives, leveraging scripting and APIs to streamline deployment, monitoring, and maintenance. - Conducting system audits to ensure compliance with security, privacy, and regulatory requirements (including call recording, data handling, and AI governance). - Staying current with advancements in generative AI, and conversational AI platforms, assessing their applicability to the enterprise. - Documenting and maintaining architecture standards, conversational design guidelines, and operational runbooks. - Supporting vendor evaluations, proofs of concept, and AI platform bake-offs to guide strategic technology decisions. Qualifications - Bachelor’s degree or equivalent proven technical experience. - Minimum of 5+ years in engineering, architecture, or progressive support roles related to contact centers or unified communications. - Proven experience designing and deploying AI-enabled IVAs, chatbots, or voice bots at enterprise scale. - Experience with contact center platforms (e.g., NICE CXOne, Genesys, Five9, Amazon Connect, or equivalent). - Hands-on experience with conversational AI platforms (e.g., NICE Cognigy, WestCX Orchestrate, Dialogflow, Azure Bot Framework, or equivalent). - Strong understanding of natural language processing (NLP/NLU) concepts and conversational design best practices. - Experience integrating AI solutions with REST APIs, webhooks, and enterprise systems (CRM/IVR/backend services). - Proficiency in scripting or programming languages (e.g., Python, PowerShell, JavaScript). - Strong understanding of real-time communications, including voice architecture, SIP, and media handling. - Experience with analytics and monitoring tools for conversational AI performance and contact center KPIs. - Excellent problem-solving skills with the ability to troubleshoot complex, cross-domain issues. - Strong collaboration and communication skills, with the ability to translate technical solutions into business value. Benefits - Medical, Dental & Vision benefits available the 1st month after hire. - Automatic enrollment into our 401(k) plan (subject to eligibility requirements). - Virtual fitness classes offered company-wide. - Robust PTO offerings including major holidays, vacation, sick, personal, & volunteer time. - Employee discounts with major providers (i.e. wireless, gym, car rental, etc.). - Philanthropic support with both local and national organizations. - Fun culture with company-wide contests and prizes.

• As a Senior Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. • You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end. • You will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. • By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively. • You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business.

• Provide technical leadership for the full lifecycle of generative AI full-stack solutions (front-end React/Node, back-end Python), applying Spec-Driven Development (specification and tests before implementation) and Harness Engineering (automated validation of the rendered artifact) as the single engineering standard — complementary, not competing approaches; • Architect and operate RAG, LLMOps, and MLOps pipelines on Azure AI Foundry, ensuring network isolation, sandboxing for execution of code generated by LLMs, and end-to-end traceability; • Implement governance, security, and privacy controls for AI by design — model risk management, prevention of prompt injection/data leakage, and minimization and anonymization of personal and health data in accordance with LGPD; • Establish and maintain automated quality gates (QA harness) for AI-generated outputs, providing deterministic feedback (coordinates/metrics) instead of subjective evaluation; • Serve as the technical reference for internal teams and vendors, defining architecture standards, code review practices, and acceptance criteria for AI solutions;