Agentic Software Engineer
The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners, to help them grow. Meet Nuvei , Nuvei is the global fintech building the infrastructure for every payment, everywhere. Its modular, flexible, and scalable technology enables leading companies to accept next-generation payments, offer all payout options, and benefit from card issuing, banking, risk, and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 52 markets, 150 currencies, and over 720 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally through one integration. At Nuvei, we live our core values, and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey! Your Mission As an Agentic Engineer , you will help drive the organization’s adoption of agentic software engineering and contribute to establishing Agentic Delivery Lifecycle (ADLC) practices across the technology organization. You will operate within an agentic-native delivery model, using approved agents, skills, workflows, and automated platforms throughout the software lifecycle, while working closely with Product, Engineering, Platform Engineering, Enterprise Architecture, Information Security, Data, DevOps, and AI teams. Responsibilities: Agentic Software Development Design, build, test, deploy, operate, and modernize production-grade software using agentic engineering practices. Collaborate with autonomous and semi-autonomous agents across requirements, architecture, implementation, testing, documentation, and operations. Direct, supervise, validate, and improve agent-generated outputs. Review and validate agent-generated architecture, code, test suites, runbooks and deployment plans. Apply risk-based human supervision and intervention controls. Contribute reusable engineering accelerators, workflows and implementation patterns. Agentic Delivery Lifecycle (ADLC) Apply ADLC practices across requirements analysis, architecture, coding, review, testing, security validation, documentation, release management, deployment, production operations, incident response and modernization. Integrate agentic workflows with source control, CI/CD, testing frameworks and observability platforms. Develop, maintain, and own agentic engineering harnesses for validation, benchmarking, regression testing, security evaluation, and certification. Build evaluation frameworks measuring quality, reliability, safety and business effectiveness. Establish measurable quality gates and production-readiness criteria. Ensure traceability, auditability, versioning, rollback and operational transparency. Support monitoring, logging and observability. Contribute to the continuous evolution of ADLC standards. Agentic Platforms and Developer Experience Support adoption of Code Agents. Provide secure access to approved models, repositories, APIs and enterprise knowledge. Support model routing, context management, memory services and execution environments. Contribute to golden paths, reusable platform services and self-service capabilities. Agents, Skills, and MCP Ecosystem Design and maintain reusable enterprise agents, specialized skills and workflows. Build integrations using enterprise APIs and MCP services. Support registries for approved agents, approved skills, approved prompts, approved workflows and approved MCP services. Support lifecycle management including certification, ownership, versioning and retirement. Security, Governance, and Production Assurance Implement controls addressing hallucination risk, prompt injection, insecure code generation and model misuse. Ensure compliance with engineering, security, privacy and regulatory requirements. Maintain ownership, monitoring, testing, audit trails and rollback capabilities for production agents. Engineering Adoption and Enablement Support implementation playbooks and adoption frameworks. Participate in training programs, communities of practice and enablement initiatives. Mentor engineers adopting agentic-native development practices. Value Realization and Continuous Improvement Measure and improve productivity, cycle time, software quality, release frequency and developer experience. Track effectiveness of agents, skills, prompts, workflows and MCP services. Identify opportunities to reduce manual engineering effort through automation. Requirements: 7+ years of software engineering experience. Experience with cloud-native applications and Azure, AWS or Google Cloud. Strong understanding of ADLC, CI/CD, DevOps and software quality processes. Understanding of LLMs, RAG, tool calling, context management, memory management and agent orchestration. Hands-on experience with Code Agents and Agents Frameworks. E
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