Position ResponsibilitiesAs a Senior Software Engineer in Java, you will:· Lead hands-on architecture, design, and implementation of agentic applications, AI-powered services, and platform capabilities from concept through production· Define engineering patterns and best practices for production AI systems, including evaluation, monitoring, guardrails, resiliency, cost control, and rollback strategies· Drive end-to-end software delivery across the SDLC, from discovery and prototyping to testing, release, and production operations· Use engineering tools to accelerate design, coding, testing, documentation, troubleshooting, and delivery while maintaining strong engineering judgment and code quality standards· Champion an AI-enabled SDLC by improving developer workflows, automation, test generation, code review quality, release confidence, and team productivity· Partner closely with Product, Applied AI, Data Science, and business stakeholders to translate ambiguous opportunities into scalable product capabilities· Provide technical leadership through architectural decisions, design reviews, code reviews, hands-on contribution, and mentoring of engineers across the team· Build highly available, secure, and maintainable cloud-native services with strong observability, performance, and operational readiness· Shape technical roadmaps, identify short- and long-term platform needs, and influence architecture choices that enable scale, reuse, and faster delivery· Collaborate across teams and business units to solve complex business and engineering problems with practical, high-impact solution· Keep senior stakeholders informed of progress, risks, trade-offs, and implementation decisions in a clear and concise mannerRequirementsIdeal Candidate Qualifications:• Strong software engineering experience building scalable, secure, maintainable production systems,



including experience leading complex technical initiatives end to end• Hands-on experience building and shipping AI-powered products or agentic applications using LLMs, orchestration frameworks, tool-calling patterns, retrieval, and context-aware workflows• Strong understanding of agentic system design, including planning, reasoning loops, workflow orchestration, memory, grounding, evaluation, safety, and human-in-the-loop controls• Experience taking AI solutions from prototype to production with sound engineering discipline around reliability, observability, latency, cost, security, and governance• Experience with modern AI frameworks, SDKs,

and managed cloud services in AWS and/or Azure· Strong expertise in designing and building APIs, including RESTful services, service contracts, versioning, security, and integration patterns· Proven experience with event-driven architecture, asynchronous messaging, streaming, and resilient distributed system design· Practical experience using AI tools to improve engineering productivity across coding, testing, debugging, documentation, and release workflows· Strong understanding of software engineering quality metrics such as code quality, test automation, reliability, performance, observability, and maintainabilityGood to Have· Experience building agentic applications or AI-powered systems using LLMs, orchestration frameworks, retrieval, tool calling,



and workflow automation· Experience with API gateway, service mesh, and enterprise integration patterns· Experience with Kafka, event streaming platforms, or large-scale messaging ecosystems· Exposure to CI/CD automation, infrastructure as code, and release engineering practices· Experience in regulated enterprise environments where security, governance, compliance, and auditability are critical· Ability to mentor engineers and influence architecture, engineering standards, and developer productivity at team levelAll About You• You are a hands-on technical leader who enjoys building and shipping real products, not just prototypes• You have experience building or operating AI-enabled or agentic applications in production and understand what it takes to make them secure, reliable, and useful at scale• You combine strong software engineering fundamentals with curiosity and good judgment in applying emerging AI capabilities to real business problems• You actively use AI to enhance your own engineering productivity and help teams adopt better ways of designing, coding, testing, documenting, and operating software• You understand where AI can accelerate delivery and where human review, engineering discipline, and thoughtful controls remain essential• You care deeply about customer value, developer experience, quality, resilience, and long-term maintainability• You are comfortable working in collaborative, cross-functional, and internationally distributed teams• You raise the bar for others through mentorship, technical leadership, and a practical, delivery-focused mindset• You communicate complex technical concepts clearly and effectively to both engineering teams and senior stakeholders

? Senior Full stack Engineer (Uruapan)
? Fulcrum Digital
? Uruapan

📌 Senior Full Stack Engineer (Uruapan)
🏢 Importante empresa
📍 Uruapan