# Marlon A. Mora > AI Multi-Agent Systems & Full-Stack Development | Open to Remote Location: United States, United States Profile: https://flows.cv/marlon Remote only Open to work. Recruiters read below. Remote Positions only AI Engineer | Backend Architecture & Cloud Infrastructure I design and build production AI agent systems and scalable backend infrastructure. My focus is on event-driven architectures, cloud-native applications, and making the right architectural decisions for system migrations and integrations. I started as a full-stack developer with a frontend focus and have since specialized in backend systems, AI engineering, and cloud infrastructure. What I Do: AI & Multi-Agent Systems: • Design and build production-grade multi-agent architectures using LangGraph • Orchestrate complex workflows with multiple specialized agents working in coordination • Implement human-in-the-loop patterns for quality control and edge case handling • Optimize agent performance across different LLM models (Claude Sonnet/Opus/Haiku) • Build reliable AI systems that handle failures gracefully and work at scale • Integrate LLMs into production applications with Datadog tracing, PII safety protocols, error handling, and observability Backend, Infrastructure & Automation: • Architecture & Design: Service communication patterns (API vs Pub/Sub vs webhooks), system migration planning, ingress/egress strategies, ADRs for technical decisions • Event-Driven Systems: Message queue architectures (Pub/Sub, SNS/SQS, RabbitMQ) handling thousands of daily messages, Cloud Scheduler orchestration, asynchronous processing patterns • Cloud Infrastructure: Kubernetes configuration and management, GCP infrastructure (KCC, IAM, KMS, service accounts), secure inter-service communication, cluster orchestration • Backend Automation: Built intelligent Jira automation system for issue lifecycle management - creates/closes/links/ranks issues based on thresholds, uses Jira API as stateless state store, Slack alerting, deployment integration, business priority ranking • Development: TypeScript/Node.js and Python backend services, REST APIs, webhooks, database work (Postgres, BigQuery), web scraping and browser automation DevOps & Operations: • Docker containerization and GitLab CI/CD pipelines • Internal deployment scripts and automation • Datadog logging, Logs Explorer, BigQuery analytics • Cost optimization and query performance management Frontend Experience: • React, Next.js, Vue Technical Stack: Python, TypeScript, Node.js, LangGraph, Claude API, OpenAI, Kubernetes, GCP, Docker, GitLab CI/CD, Datadog, Jira API, React, Next.js, Postgres, event-driven architecture, microservices, Vertex, LLM, AI, multi-agent orchestration ## Work Experience ### Senior Software Engineer @ MX Jan 2023 – Present | Utah, United States • Built production multi-agent system using LangGraph with Vertex AI (Claude and Gemini APIs) to automate scraper remediation - reduced manual fix time from full days to 10-20 minutes with human oversight, achieving 60% autonomous success rate. Implemented PII safety protocols, Datadog tracing, and observability for production LLM integration • Remediate web scraping errors for financial institution connections maintaining reliable data aggregation across thousands of institutions and millions of member accounts • Enhanced issue visibility and automation by building intelligent Jira system for lifecycle management - automates issue creation/closure/linking/ranking based on thresholds, Slack alerting, and deployment integration to prioritize remediation work • Architect event-driven backend systems on GCP handling thousands of daily message queues via Pub/Sub, Cloud Scheduler, and asynchronous processing patterns using TypeScript/Node.js services • Configure and manage production Kubernetes infrastructure using KCC, IAM, KMS encryption, External Secrets, service accounts, and secure inter-service communication ### Senior Software Engineer @ Prescient Edge Jan 2021 – Jan 2023 | McLean, Virginia, United States - Lead Frontend Engineer on a AI/ML project that processed data using various ML and AI services within an event-driven environment creating several successful transactions for the vendor. - Architect for frontend React components and features throughout the application achieving demands for multiple clients in separate environments. - Deployed to self managed Kubernetes and AWS environments, updating configuration templates in terraform, while also solving possible deployment hurdles. - Design and construction of the entire Frontend UI using React with an overall aesthetic style, and user-centric interface transforming complex data into frontend displays combined with functional architecture from development to production level. - Create UI prototypes for stakeholders to approve and migrated into code by creating reusable React UX components and maintaining all state logic to display data. - Integrated cloud native services on AWS including S3, SNS, SQS, EB, and cloud agnostic services using RabbitMQ, and Minio in Kubernetes to the frontend via server-side configurations to achieve all necessary frontend functionalities. -Consolidated data upload components including multipart uploads on the frontend central to processing large datasets for ML data to be displayed within the application. ### Frontend Engineer @ INITIATE.AI Jan 2020 – Jan 2021 | Los Angeles Metropolitan Area • Implementation of any 3rd party APIs required for task completion including Open Ai GPT-3 models API for automation. • Developed a brand new optimized design of main features on front end components including integrating text editing, and video editing tools to get ready for site launch.  • Optimizing components for responsive performance on desktop and tablet browsers. • Maintaining and building reusable components for future use while creating proper type safe using mainly React Node and Typescript. • Translating architectural design into efficient readable and reusable code using standard coding conventions. ### Full Stack Engineer @ cirplus Jan 2019 – Jan 2020 - Maintained site functionality with team updating pull requests and grooming program daily. -Tasked with developing an automated scraper tool for extraction of data. - Created functional data retrieval with Node.js React, JavaScript using a Headless Browser via Puppeteer for web automation. - Produced UXUI designs using React to production while working with the QA testing to improve program performance features. ### React Developer @ Lancorr Jan 2018 – Jan 2019 - Created a website for companies using React, Node, TypeScript and various CSS Libraries. - Designed and deployed responsive and lightweight applications for clients meeting all deadlines throughout. - Continuously assessed the clients needs and themes to create a fast and responsive sleek design that represents the brand and commercial value. - Consistently kept speed optimization and performance features high while maintaining all fundamental features. ### Fraud and Risk Analyst @ Bank of America Jan 2016 – Jan 2017 - Analyzed various amounts of data in order to identify fraudulent purchases. - Worked cross functionally with internal teams building foundations and understanding of data to investigate, research, and alert new suspicious activity. - Assessed reports of fraudulent findings based on transaction history and frequency. - Reported daily team status updates and created internal meetings to update group on new risk procedures within the company. ### Field Operations Leader @ Aramark Jan 2014 – Jan 2016 - Team supervision contacting over 40 employees monitoring shift rearrangements, reducing scheduling conflicts and positioning employees based on their adaptive skillset. - Supervision of the functional areas in order to guarantee the level of services agreed during planning adapting operations and services along with the functional areas in accordance with vendor needs. - Debriefing meetings to consult with team members and create field initiative procedures in case of hazard. ## Education ### Full Stack Web Developer Coding Bootcamp in Full Stack Web Developer The University of Texas at Austin – Center for Professional Education (CPE) ### Certification in Python Stanford University Jan 2020 ## Contact & Social - LinkedIn: https://linkedin.com/in/giraldo-marlon --- Source: https://flows.cv/marlon JSON Resume: https://flows.cv/marlon/resume.json Last updated: 2026-03-22