• Work directly with Customer engineering and product teams to understand business needs • Take ownership of end-to-end feature delivery from technical analysis and design to implementation • Design, develop, and maintain high-quality full-stack solutions using .NET, React.js, and cloud technologies • Participate in architecture discussions and technical decision-making • Identify and recommend technical improvements and optimization opportunities • Develop scalable, reliable, and maintainable applications following engineering best practices • Work with containerized environments and Kubernetes-based deployments • Collaborate closely with distributed teams

• Set the technical direction for Conversica's backend platform, owning architecture decisions that span integrations, data, messaging, and orchestration across the entire system • Drive cross-functional initiatives that touch multiple engineering teams, partnering with AI Engineering, Product, and Integrations leadership to shape platform strategy and roadmap • Define and evolve org-wide engineering standards for backend service design, data modeling, integration patterns, observability, and operational excellence • Identify systemic reliability, scalability, and performance risks across the platform and lead the engineering response • Mentor senior and mid-level engineers across the backend organization, raising the technical bar through design reviews, written technical guidance, and pairing on hard problems • Represent the backend platform in technical strategy discussions with executive leadership and contribute to multi-quarter roadmap planning • Build and ship production code yourself; this is a hands-on individual contributor role, not a pure architect role

• Play a vital role in building and maintaining robust software systems • Contribute technical leadership to the team • Design scalable, high-performing solutions that meet functional requirements and standards • Evaluate and improve existing systems • Perform thorough testing and resolve complex technical issues to enhance performance • Lead initiatives to contribute to the growth and performance of a key business vertical • Partner with a high-caliber team to deliver real value to end users • Bring creative and analytical thinking to solving complex business challenges • Help build scalable processes that support the organization's long-term growth • Engage with stakeholders to drive alignment and meaningful outcomes • Play an active role in shaping the future direction of a critical product area

• Design, build, and deploy AI‑powered and agentic workflows using Python within modern cloud‑native environments. • Own technical direction for AI/ML components, including architecture, orchestration, model integration, and performance optimization . • Partner with product, engineering, and client stakeholders to shape the roadmap for AI‑driven and autonomous system capabilities . • Evaluate and integrate LLMs, agent frameworks, vector search, embeddings, retrieval pipelines, and tool‑use orchestration into production systems. • Lead by example through high‑quality code, strong engineering practices, and thoughtful technical decision‑making. • Drive experimentation, prototyping, and rapid iteration to validate AI‑powered product ideas. • Ensure AI systems are reliable, observable, secure, and maintainable in production environments. • Mentor engineers and contribute to a culture of technical excellence and innovation.