Python Engineer

About The CompanyProvenir is a leading Decision Intelligence Platform that empowers enterprises with comprehensive control over end-to-end customer decisioning processes. The platform integrates data, AI models, intelligence, agents, and governance into a unified environment, enabling business teams to configure and evolve strategies directly while ensuring enterprise-grade reliability and regulatory compliance. Trusted by over 120 institutions across more than 60 countries, Provenir processes more than 4 billion decisions annually, turning architectural coherence into sustained risk performance and measurable value. The company's innovative approach helps organizations manage risk, drive growth, and transform business outcomes through AI-powered decisioning solutions. By solving meaningful challenges and working closely with enterprise clients, Provenir is shaping the future of intelligent decision-making technology.About The RoleWe are seeking an experienced Python Engineer to join our dynamic team and contribute to the development of cloud-native capabilities within our SaaS platform. This role involves designing, building, and maintaining reliable and scalable Python-based backend services and APIs. The ideal candidate will have a strong background in backend software development, particularly within SaaS or cloud environments, and will be excited about working on cutting-edge AI capabilities such as generative AI, intelligent agents, and retrieval-augmented generation. The role offers opportunities to work on innovative projects, including integrating internal and external services, developing containerized applications for deployment in Kubernetes on AWS, and supporting scalable, resilient, and secure cloud applications. Collaboration with product managers, architects, and engineering teams will be key to delivering customer-facing features and advancing AI-enabled product capabilities.QualificationsThree or more years of professional software development experienceStrong Python development skills, including experience with production backend services and APIsProficiency with modern Python frameworks, preferably FastAPISolid understanding of software design principles, object-oriented programming, maintainable code, and automated testing (pytest or unittest)Experience developing and supporting cloud-based or multi-tenant SaaS applicationsExperience designing REST APIs, service integrations, and reusable backend componentsHands-on experience with Docker and containerized application developmentFamiliarity with Kubernetes and cloud-native deployment environmentsExperience working with AWS services such as EKS, S3, IAM, Lambda, and CloudWatchKnowledge of CI/CD pipelines, version control, monitoring, logging, and production supportUnderstanding of application scalability, resilience, security, and observabilityExperience with other object-oriented languages such as Java, C#, or C++ is beneficialPreferred: Exposure to generative AI applications, LLMs, AI agents, RAG, vector search, and managed AI platforms like Amazon BedrockFamiliarity with MLOps, infrastructure as code, or CI/CD automationResponsibilitiesDesign, develop, test, and maintain Python-based backend services and APIsBuild reusable components and platform capabilities for a cloud-native SaaS productIntegrate internal services, external APIs, and third-party platformsDevelop containerized services optimized for Kubernetes deployment on AWSEnhance application scalability, resilience, security, monitoring, and operational supportCollaborate with product managers, architects, and engineering teams to deliver customer-facing featuresParticipate in software design, code reviews, automated testing, and adherence to engineering standardsSupport services throughout their lifecycle, from initial design to production operationsContribute to AI-enabled product features, including generative AI, intelligent agents, and tool integrations based on customer and product needsBenefitsComprehensive health and wellness plansPaid time off and company holidaysFlexible and remote-friendly work opportunitiesMaternity and paternity leaveOpportunities for professional growth and developmentCollaborative and inclusive work environmentEqual OpportunityAt Provenir, we are committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all individuals regardless of race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, marital status, citizenship, veteran status, or medical condition. We believe that diversity strengthens our teams and drives innovation. We encourage qualified candidates from all backgrounds to apply and join us in shaping the future of AI-powered decisioning technology.