Senior React / Python / Aws Engineer Ai & Generative Ai Solutions

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior React / Python / AWS Engineer - AI & Generative AI Solutions based in Spain.This role is focused on building next-generation cloud-native applications powered by AI and generative AI technologies. You will work across the full stack, combining modern frontend development, backend engineering, and AWS cloud architecture to deliver scalable, high-performance systems. The position involves designing and deploying end-to-end solutions that integrate LLMs, AI agents, and data-driven services into production environments. You will collaborate closely with product managers, architects, and data teams to translate complex requirements into robust technical solutions. The environment is fast-paced and innovation-driven, with a strong emphasis on ownership, quality, and AI-enabled engineering practices. This is an opportunity to work at the intersection of software engineering, cloud infrastructure, and applied AI at scale.AccountabilitiesYou will be responsible for designing, developing, and maintaining full-stack applications that leverage React, Python, and AWS services. The role includes building scalable backend services, integrating AI capabilities into production systems, and ensuring high performance and reliability across distributed architectures. You will also contribute to architectural decisions, CI/CD practices, and cloud-native design patterns while working closely with cross-functional teams.Develop and maintain full-stack applications using React, TypeScript, and PythonDesign and implement scalable RESTful and GraphQL APIsBuild and deploy cloud-native solutions on AWS using services such as Lambda, S3, ECS/EKS, API Gateway, and CloudWatchIntegrate Generative AI capabilities, including LLMs, AI agents, and prompt-based systemsWork with microservices and event-driven architectures to support distributed systemsCollaborate with data engineers on pipelines and analytics solutions using tools such as Databricks, PySpark, and Delta LakeImplement CI/CD pipelines and ensure containerized deployments using Docker and KubernetesOptimize application performance, troubleshoot production issues, and improve system reliabilityPartner with stakeholders to translate business requirements into technical solutionsRequirementsYou bring strong full-stack engineering experience with a focus on cloud platforms and modern AI technologies. You are comfortable working across frontend, backend, and infrastructure layers, and you have practical experience deploying scalable systems in production. You are proactive, detail-oriented, and able to operate independently in a fast-moving environment.Strong experience with React.js, TypeScript, JavaScript, HTML5, and CSS3Proficiency in Python for backend development and API designHands-on experience with AWS cloud services (Lambda, S3, API Gateway, ECS/EKS, Glue, Redshift, CloudWatch)Experience building and consuming RESTful APIs and GraphQL servicesKnowledge of Generative AI, LLMs, and AI-powered application developmentExperience integrating AI platforms such as OpenAI, Anthropic, or Azure OpenAIUnderstanding of AI agents, prompt engineering, tool calling, and agentic workflowsExperience with microservices architecture and event-driven systemsFamiliarity with Databricks, PySpark, and data engineering conceptsExperience with Docker, Kubernetes, and CI/CD pipelinesStrong debugging, performance optimization, and problem-solving skillsExcellent communication and collaboration abilities in Agile environmentsBenefitsRemote-first contract opportunity with flexibilityCompetitive compensation aligned with experienceOpportunity to work on cutting-edge AI and generative AI systemsExposure to modern cloud-native architectures at scale (AWS, Kubernetes, microservices)Collaborative, cross-functional engineering environmentCareer growth through complex, high-impact technical challengesAgile and fast-moving development cultureHow Jobgether works:We use anAI-powered matching processto ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best!Why Apply Through Jobgether?Data Privacy Notice:By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.#LI-CL1We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

You bring strong full-stack engineering experience with a focus on cloud platforms and modern AI technologies. You are comfortable working across frontend, backend, and infrastructure layers, and you have practical experience deploying scalable systems in production. You are proactive, detail-oriented, and able to operate independently in a fast-moving environment. Strong experience with React.js, TypeScript, JavaScript, HTML5, and CSS3 Proficiency in Python for backend development and API design Hands-on experience with AWS cloud services (Lambda, S3, API Gateway, ECS/EKS, Glue, Redshift, CloudWatch) Experience building and consuming RESTful APIs and GraphQL services Knowledge of Generative AI, LLMs, and AI-powered application development Experience integrating AI platforms such as OpenAI, Anthropic, or Azure OpenAI Understanding of AI agents, prompt engineering, tool calling, and agentic workflows Experience with microservices architecture and event-driven systems Familiarity with Databricks, PySpark, and data engineering concepts Experience with Docker, Kubernetes, and CI/CD pipelines Strong debugging, performance optimization, and problem-solving skills Excellent communication and collaboration abilities in Agile environments

Remote-first contract opportunity with flexibility Competitive compensation aligned with experience Opportunity to work on cutting-edge AI and generative AI systems Exposure to modern cloud-native architectures at scale (AWS, Kubernetes, microservices) Collaborative, cross-functional engineering environment Career growth through complex, high-impact technical challenges Agile and fast-moving development culture How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.