Python Backend Engineer

Role Overview: As a Lead Backend Engineer at FICO, you will be a key member of the Generative AI team, working on cutting-edge language model applications. Your role will involve developing innovative solutions for various aspects of the FICO platform, including fraud investigation, decision automation, process flow automation, and optimization. You will play a crucial part in deploying product updates, identifying production issues, and implementing integrations. Thriving in agile environments, you will champion DevOps and CI/CD best practices to deliver scalable, customer-focused backend solutions that drive innovation within the organization. Key Responsibilities: - Design, develop, and maintain high-performance, scalable Python-based backend systems for ML and Generative AI products. - Collaborate with ML engineers, data scientists, and product managers to build reusable APIs and services supporting the full ML lifecycle. - Take ownership of backend services from design to maintenance, ensuring end-to-end delivery of product changes. - Contribute to architecture discussions, enforce coding best practices, and participate in peer code reviews to mentor junior developers. - Work with QA and DevOps teams to enable CI/CD, build pipelines, and ensure product quality through automated testing. - Translate business and product requirements into robust engineering deliverables and technical documentation. - Build backend infrastructure supporting ML pipelines, model versioning, performance monitoring, and retraining loops. - Engage in prototyping efforts to design PoVs and pilot solutions in collaboration with stakeholders. Qualifications Required: - 8+ years of software development experience, with at least 3 years in a technical or team leadership role. - Deep expertise in Python, including designing and developing reusable API packages for ML and data science applications. - Strong understanding of REST and gRPC APIs, ML workflows, MLOps, and tools like MLflow, FastAPI, TensorFlow, PyTorch, etc. - Experience in building and maintaining microservices and distributed backend systems in production environments. - Proficiency in cloud-native development on platforms like AWS, GCP, or Azure, as well as Kubernetes, Docker, and Helm. - Knowledge of SQL and NoSQL databases, messaging platforms like Kafka, and software engineering best practices. - Excellent collaboration and communication skills, with a bachelor's degree in Computer Science, Engineering, or related discipline. (Note: Omitted additional details of the company as they were not present in the provided job description),