Job Opportunities API

About Us:   At Liatrio, we enable real transformation. We help industry-leading enterprises break free from legacy systems and adopt AI that reshapes how teams build, deliver, and thrive at scale.   We partner directly with enterprise teams to embed AI-native practices into delivery by accelerating modernization, reducing risk, and shipping production-grade AI systems that set the standard for the industry.   Our people embed directly inside client organizations, leading hands-on AI enablement and transformations that reshape how entire enterprises build and operate at scale.   If you’re ready to lead real AI transformation, this is where you belong. About the Role: We're looking for AI-enabled Application Modernization Engineers passionate about modernizing legacy software, building cloud-native and AI-augmented systems, and helping both client teams and our own engineers improve quality and speed of delivery.  You will act as both a builder and an enabler — writing production-grade code and uplifting the engineers around you on modern AI-augmented ways of working. What You'll Do: You'll be embedded with enterprise clients building real software — modernizing systems that have been running the business for years and building new ones that need to run it for years to come. Day to day that looks like: Breaking down monolithic legacy applications and rebuilding them as cloud-native services — designing APIs, decomposing tightly coupled systems, and migrating data without taking the business offlineBuilding full-stack, production-grade applications — frontend interfaces, backend services, REST and GraphQL APIs, and the integrations that tie them together in complex enterprise environmentsWriting clean, testable, well-structured code across multiple languages and paradigms — and reviewing others' code with the same standardDesigning and implementing event-driven and microservices architectures that can scale, evolve, and be maintained by teams who didn't build themIntegrating AI and LLM capabilities directly into client applications — building agentic workflows, RAG pipelines, AI-augmented developer tooling, and intelligent automation that actually works in productionSetting up and improving CI/CD pipelines, test automation, and delivery infrastructure so teams can ship with confidenceWorking alongside Operations teams to make sure what gets built can actually be run — containerized, observable, and operable in cloud environmentsMentoring and uplifting the engineers around you — pairing, code review, and real-time feedback that makes the whole team better Keeping account leaders and architects informed of technical risk, blockers, and changes that affect the engagement Experience and Skills: Engineering: You've built production applications from scratch and modernized legacy systems — comfortable with both greenfield and brownfield, and know when approaches like strangler fig or lift-and-refactor are appropriateYou're fluent in multiple programming languages and paradigms — clean, testable code in both functional and object-oriented styles, knowing how to pick the right tool for the jobYou've delivered full-stack solutions — frontend web apps, backend APIs, cloud-hosted services, and standalone applications — and understand how those pieces fit together end-to-end in complex enterprise environmentsYou've worked inside large enterprise environments with distributed systems and multi-cloud setups — you know how to navigate organizational complexity and deliver in spite of itYou're comfortable owning your part of the SDLC end-to-end — writing code, reviewing PRs, writing tests, and empathizing with developers on either side of youYou understand cloud-native architecture — containerization, microservices, event-driven patterns — and are comfortable with source control branching strategies and CI/CD automationYou've either built or been closely embedded with Operations teams — you understand