• Design and build IVR call flows and routing logic using NICE CXone Studio • Develop and maintain API integrations (CRM, payment systems, web services) • Configure ACD, skills, queues, and agent profiles • Support testing cycles and deployments across DEV, UAT, and PROD • Troubleshoot call routing, scripting, and platform issues • Create and maintain technical documentation and call flow diagrams • Collaborate with internal business, IT, and security teams, as well as vendor partners

Role Description As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company. Outcomes - Consistently deliver high-quality, production-grade features faster than traditional teams. - Build and optimize AI-first workflows that integrate AI across all development stages. - Raise the bar for speed, quality, and ownership in product delivery. - Be a core contributor to the new engineering culture built on AI-First principles. How You’ll Ramp - By Day 30: - Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model. - Start shipping real features using AI at every stage: coding, testing, documenting, releasing. - Contribute to improving workflows for even faster delivery. - By Day 60: - Independently own the full lifecycle of feature delivery through AI-first methods. - Identify and drive improvements in velocity, automation, and team efficiency. - Partner with Product and Tech Leads to aggressively accelerate time-to-market. - By Day 90: - Deliver features faster and with higher quality than baseline teams. - Actively mentor others on using AI as a multiplier across development. - Become a key driver of the AI-First engineering standard inside the company. What You’ve Accomplished - Proven track record of delivering production-grade products using AI-driven approach. - Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release. - Strong technical foundation in AWS, .NET, Python, and MongoDB. - Obsessed with delivery: you ship, you improve, you own the outcome. - Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution. Why Joining Smartcat Might Be Your Best Move So Far - A global, connected team: We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. - Be part of an AI Native Organization: We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. - Innovating a $100 Billion industry: Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. - Join the rocketship to scale-up 10x and beyond together: We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Smartcat Culture Code At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work.

Role Description The Decision Engine Developer supporting the OpenSky Decision Engine will play a key role in designing, building, and testing eligibility and decision strategies within a low-code decision engine platform (e.g., Provenir, Oscilar, GDS Link). This role is ideal for a highly detail-oriented practitioner with strong technical and analytical skills who can translate business requirements into effective, scalable decision logic. You will work closely with business and technical teams to implement strategies, ensure accuracy through testing, and support ongoing optimization of decisioning processes. Qualifications - 3-5 years risk management strategy implementation experience in a FinTech / banking environment - Bachelor’s degree in computer science, business administration, mathematics, engineering, or related quantitative discipline - 3-5 years low-code decision engine system experience (GDS Link, Provenir, Decisions, Oscilar, etc.) - Master’s degree in business, mathematics, engineering, or related discipline preferred - Experience with implementing credit and fraud risk models (R, Python, SAS) preferred - Data analysis experience (SQL, Excel, PowerBI) preferred Requirements - Object-oriented programming expertise - Experience implementing JavaScript in a back-end environment (e.g. NodeJS) - Understanding of credit risk business domain Benefits - Base Salary Range: $115,000 - $145,000 annually - Yearly annual target bonus based on individual performance - Comprehensive benefits package including Medical, Dental, Vision, Company Paid Life Insurance, Disability Insurance, and more - Company Contributions to your 401k - Regardless of your contribution - Employee Perks: Paid Parental Leave, Employee Recognition Program, Leadership Program, Tuition Reimbursement Program, Employee Bank Checking Account, and much more - Generous Paid Time Off and Paid Holidays - Including Paid Charity Hours to support volunteer opportunities

• Develop and maintain solutions using Liferay DXP/Portal 7.x; • Create and maintain MVC portlets (MVCPortlet), OSGi modules, and custom components; • Develop solutions using Service Builder; • Customize themes, layouts, and fragments; • Configure workflows, CMS and permission controls on the Liferay platform; • Develop and consume REST APIs and integrate systems via REST and SOAP services; • Develop solutions using Java 8+ and the Spring Framework; • Perform evolutionary maintenance, incident resolution, and performance optimization; • Integrate with corporate and legacy systems; • Develop queries and participate in relational database modeling; • Use version control, build, and continuous integration tools; • Participate in agile ceremonies, technical refinements, and delivery planning; • Apply development best practices, documentation, and code review;