• Design, build, and maintain scalable backend services using Node.js and TypeScript • Develop and optimize microservices running in AWS production environments • Implement event-driven and asynchronous workflows to support high-performance systems • Strengthen CI/CD pipelines and contribute to Infrastructure as Code practices • Improve reliability, monitoring, and fault tolerance across distributed services • Collaborate with frontend engineers while remaining primarily backend-focused • Participate fully in sprint development and deliver production-ready code

Role Description This is a remote position. Our client, an AI-focused startup based in Toronto, Canada, is building AI-powered financial report generation software for enterprise clients. The platform leverages Python and large language models (LLMs) to generate complex, high-quality reports at scale. They are currently seeking a Senior Python / AI Engineer to take ownership of production reliability and system performance across their core platform. This is not a feature-delivery role - it is a systems ownership role for engineers who understand what it takes to build, operate, and maintain production-grade AI systems. - Location: India (Remote, must be able to work in IST/EST hours) - Employment Type: Full-Time - Experience: 4-6+ years - Tech Stack: Python, FastAPI, LLM What You'll Do - Own end-to-end production systems: design, build, deploy, monitor, and continuously improve. - Build and maintain Python-based backend services (FastAPI preferred) powering AI workflows. - Develop and optimize LLM pipelines (RAG, prompt workflows, data processing) in production environments. - Lead incident response, debugging, and root cause analysis for production issues. - Improve system reliability, testing practices, and release quality. - Work closely with Product to translate requirements into scalable technical solutions. - Implement and maintain observability, logging, and monitoring systems. - Contribute to architecture decisions with a focus on performance and scalability. Qualifications - Python-first engineer (FastAPI or similar frameworks preferred). - Proven experience building AND maintaining systems in production - not just developing features. - Hands-on experience with LLMs in production environments (not just API integrations or prototypes). - Strong experience with production debugging, incident response, and system reliability. - Background working at a product company (startup or product-driven environment preferred). - Solid understanding of backend architecture, APIs, and data pipelines. - Experience with cloud infrastructure (GCP preferred), Docker, and CI/CD. - Strong ownership mindset - takes responsibility for systems end-to-end. - Experience with financial data, reporting systems, or data-heavy applications. - Familiarity with RAG pipelines, LangChain, or similar frameworks. - Experience scaling systems handling large datasets or high-volume workloads. Company Description At Talencore, we stand against racism and discriminatory practices. We stand against violence. We proudly support and partner with organizations that lift people up so everyone can succeed and thrive, and honour our candidates' experiences, perspectives and unique identity. We are committed to continuing to make diversity, equity, and inclusion part of everything we do – from how we work with our talented candidates to how we support our clients in building their diverse workforce.

Role Description Desenvolvimento e manutenção de aplicações Spring Boot para orquestração de cotação, aceitação, renovação e gestão de recorrência dos produtos APA e AFI. - Implementar APIs REST, serviços de integração e orquestradores que garantam a geração de ofertas, processamento de renovações automáticas e comunicação assíncrona via RabbitMQ com sistemas legados e externos. - Criar e consumir filas RabbitMQ (listeners para eventos de renovação, cancelamento). - Implementar integrações REST com BCP, Bureau, Dossiê, Sinistro, Vistoria Prévia. - Desenvolver endpoints para geração de ofertas APA/AFI. - Realizar manutenção em tabelas Oracle. - Aplicar boas práticas de Clean Code, SOLID e Design Patterns. - Participar de code reviews e pair programming. - Garantir cobertura de testes unitários (JUnit, Mockito). Qualifications - 5+ anos com Java e Spring Boot em produção. - Experiência sólida com REST API e microserviços. - Conhecimento de mensageria (RabbitMQ ou Kafka). - Domínio de bancos relacionais (Oracle, PostgreSQL) e NoSQL (MongoDB). - Versionamento com Git/GitLab. Requirements - Experiência com OpenShift/Kubernetes. - Conhecimento de observabilidade (Datadog, AppDynamics, ELK). - Certificação Oracle Certified Professional. Benefits - Local de atuação: Brasil - Modelo de Trabalho: Remoto - Horário: Comercial

• Participar en un proyecto estable en el sector seguros • Colaborar con el equipo en la elaboración de historias de usuario y modelado de procesos • Aplicar metodologías ágiles para gestión de tareas