Full-Stack Developer Year Contractor
Aviso de fuente externaen Recluta Talenthunter / Latin America
Full-Stack Developer (AI Systems & Enterprise Applications)1-Year ContractorWe are seeking a highly skilled Full-Stack Developer to join a leading global technology organization. In this...
Salario
No especificado
Ubicación
Heredia, Costa Rica
Tipo de empleo
Tiempo completo
Modalidad
No especificado
Full-Stack Developer Year Contractor
Heredia, Costa Rica
Descripción del empleo
Full-Stack Developer (AI Systems & Enterprise Applications)1-Year ContractorWe are seeking a highly skilled Full-Stack Developer to join a leading global technology organization. In this role, you will design, build, and enhance internal employee-facing applications that streamline purchasing requests, approval workflows, and business operations while contributing to the development of AI-powered solutions that improve automation, decision-making, and user experience.You will work across Python backend services, TypeScript/React front-end applications, REST APIs, enterprise integrations, data workflows, and AI-enabled systems, helping transform complex business processes into scalable, intelligent, and user-friendly software solutions.This is a hands-on engineering role for someone who enjoys collaborating with cross-functional teams, solving complex technical challenges, and designing modern applications that leverage both traditional software engineering and AI capabilities.Key ResponsibilitiesDesign, develop, and maintain full-stack applications that simplify purchasing, intake, approval, and spend management workflows.Build scalable backend services and REST APIs using Python to integrate with enterprise procurement, finance, identity, workflow, and data platforms.Develop intuitive, responsive user interfaces using TypeScript and React to improve employee productivity and user experience.Design and develop AI-powered features and intelligent workflows that automate business processes and enhance decision-making.Collaborate in the design, development, and implementation of AI systems, including integrations with Large Language Models (LLMs), AI services, and machine learning-powered solutions where applicable.Improve workflow automation by optimizing usability, visibility, and operational efficiency.Partner with IT, Finance, Procurement, Legal, and business stakeholders to gather requirements and translate them into scalable technical solutions.Participate in architecture discussions, sprint planning, code reviews, documentation, and continuous improvement initiatives.Design scalable, secure, maintainable, and reliable software solutions that support evolving business needs.Follow engineering best practices for software quality, testing, CI/CD, observability, and system reliability.Required Qualifications4+ years of professional experience in Full-Stack Software Development.Strong experience with Python, TypeScript, and React.Experience building production-grade web applications, REST APIs, and enterprise integrations.Experience with FastAPI, Flask, or similar Python frameworks.Experience designing and building AI-powered applications or integrating AI services into software solutions.Experience working with Large Language Models (LLMs), AI APIs, prompt engineering, or AI orchestration frameworks is highly desirable.Solid understanding of API architecture, authentication, authorization, validation, and backend service design.Strong knowledge of PostgreSQL and relational database design.Experience with CI/CD pipelines, preferably GitHub Actions.Experience working with workflow-driven applications, approval processes, or enterprise systems.Strong problem-solving skills with the ability to design scalable and maintainable software architectures.Advanced English communication skills, both written and verbal.Ability to thrive in a fast-paced, collaborative, and evolving environment.Must be available to collaborate with stakeholders operating in the US Pacific Time zone.
Preferred QualificationsExperience with AI frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar.Experience integrating OpenAI, Azure OpenAI, Anthropic, Gemini, or other generative AI platforms.Familiarity with vector databases, Retrieval-Augmented Generation (RAG), embeddings, and AI agent architectures.Experience deploying applications in cloud environments (Azure, AWS, or GCP).Knowledge of Docker, Kubernetes, and modern cloud-native development practices.Experience implementing monitoring, observability, and performance optimization for distributed systems
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