Lead Python Engineer - Generative AI and Agentic Systems

As a Lead Python Engineer at Tide, you will play a crucial role in developing cutting-edge generative AI and agentic applications while contributing to the foundational platform that supports these systems across the company. Your expertise in backend software engineering along with a passion for building and deploying AI/ML models will be essential for this role. • *Role Overview:** In this role, you will: - Design, build, and maintain scalable and robust Generative AI and Agentic-powered products and systems. - Collaborate with data scientists and other engineers to develop the internal Agentic Platform, focusing on creating reusable components and services. - Implement and optimize data pipelines for training and evaluating AI models. - Ensure reliability, observability, and performance of AI-powered systems through robust testing, CI/CD pipelines, and monitoring. - Stay updated with the latest advancements in AI, large language models (LLMs), and agentic systems to address real-world business challenges. • *Key Responsibilities:** - Proven experience in designing, building, and operating enterprise-scale distributed systems and microservices. - Strong foundation in backend development and proficiency in Python. - Practical experience with machine learning and Generative AI, including familiarity with LLMs, prompting techniques, and retrieval-augmented generation (RAG). - Knowledge of frameworks and libraries like LangChain, LangGraph, or similar. - Hands-on experience with cloud platforms such as AWS and GCP, as well as containerization technologies like Docker and Kubernetes. - Understanding of CI/CD principles and proficiency with relevant tools like GitHub Actions. - Excellent problem-solving skills and ability to work effectively in a collaborative, fast-paced environment. - Familiarity with data storage technologies, including relational databases and data warehouses (e.g., BigQuery). - Passion for innovation and a drive to build impactful products. • *Qualifications Required:** Nice to have: - Experience with event-driven architectures and message queues (e.g., Kafka and AWS SNS/SQS). - Familiarity with vector databases. - Experience with MLOps tools and practices. • *Additional Details:** Tide offers a competitive compensation package, generous annual leave, parental leave, health insurance, life & accident cover, mental wellbeing support, volunteering & development days, learning & development opportunities, WOO (Work Outside the Office) program, home office setup contribution, laptop ownership scheme, and office perks like snacks and meals. At Tide, you will be part of a diverse and inclusive team that values transparency and fosters a collaborative working environment.

If you are excited about the opportunity to work with advanced technologies and make a meaningful impact in the small business banking market, Tide welcomes your application. As a Lead Python Engineer at Tide, you will play a crucial role in developing cutting-edge generative AI and agentic applications while contributing to the foundational platform that supports these systems across the company. Your expertise in backend software engineering along with a passion for building and deploying AI/ML models will be essential for this role. • *Role Overview:** In this role, you will: - Design, build, and maintain scalable and robust Generative AI and Agentic-powered products and systems. - Collaborate with data scientists and other engineers to develop the internal Agentic Platform, focusing on creating reusable components and services. - Implement and optimize data pipelines for training and evaluating AI models. - Ensure reliability, observability, and performance of AI-powered systems through robust testing, CI/CD pipelines, and monitoring. - Stay updated with the latest advancements in AI, large language models (LLMs), and agentic systems to address real-world business challenges. • *Key Responsibilities:** - Proven experience in designing, building, and operating enterprise-scale distributed systems and microservices. - Strong foundation in backend development and proficiency in Python. - Practical experience with machine learning and Generative AI, including familiarity with LLMs, prompting techniques, and retrieval-augmented generation (RAG). - Knowledge of frameworks and libraries like LangChain, LangGraph, or similar. - Hands-on experience with cloud platforms such as AWS and GCP, as well as containerization technologies like Docker and Kubernetes. - Understanding of CI/CD principles and proficiency with relevant tools like GitHub Actions. - Excellent problem-solving skills and ability to work effectively in a collaborative, fast-paced environment. - Familiarity with data storage technologies, including relational databases and data warehouses (e.g., BigQuery). - Passion for innovation and a drive to build impactful products. • *Qualifications Required:** Nice to have: - Experience with event-driven architectures and messag