Senior AI Engineer - Banking

About The Role We are seeking an experienced Senior AI Engineer to join our team and drive the development of scalable, production-grade AI solutions. The ideal candidate will combine deep expertise in artificial intelligence and machine learning with strong software engineering fundamentals, particularly in microservices architecture and multi-language development. Responsibilities AI/ML Development • Design, develop, and deploy machine learning models and AI solutions that solve complex business problems. • Build and implement agentic AI systems with autonomous decision-making, reasoning, and task execution capabilities • Develop multi-agent systems that use tools, planning, and memory. • Build and optimise large-scale ML pipelines for training, evaluation, and inference. • Implement state-of-the-art algorithms in areas such as natural language processing, computer vision, recommendation systems, or predictive analytics • Conduct experiments, perform model evaluation, and iterate on ML solutions to improve performance. • Stay current with the latest AI/ML research and identify opportunities to apply emerging techniques. Software Engineering & Architecture • Design and implement robust microservices architectures for AI/ML applications • Build scalable, maintainable, and well-documented code across multiple programming languages. • Develop RESTful APIs and event-driven systems to integrate AI capabilities into broader platforms • Ensure high availability, fault tolerance, and performance optimisation of AI services. • Implement CI/CD pipelines for automated testing and deployment of ML models. Technical Leadership • Mentor junior engineers and data scientists on best practices in AI engineering and software development • Lead technical design discussions and contribute to architectural decisions. • Collaborate with cross-functional teams, including product managers, data scientists, and platform engineers. • Conduct code reviews and promote engineering excellence across the team • Drive technical innovation and champion the adoption of new tools and methodologies Required Qualifications Technical Skills • AI/ML Expertise – 5+ years of experience developing and deploying machine learning models in production environments • Agentic AI – Experience building autonomous AI agents with capabilities including tool use, reasoning, planning, and multi-step task execution • Programming Languages – Advanced proficiency in at least Python and Java. • Experience with Deep learning frameworks (TensorFlow, PyTorch), data processing (pandas, NumPy), ML libraries (scikit-learn), etc. • Experience with Spring Boot, microservices frameworks, and concurrent programming. • Microservices Architecture – 5+ years of hands-on experience designing and implementing microservices-based systems • ML Operations – Experience with MLOps practices, model versioning, monitoring, and deployment strategies • Cloud Platforms – Proficiency with AWS, GCP, or Azure ML services and infrastructure Additional Technical Requirements • Strong understanding of distributed systems, message queues (Kafka, etc.), and event-driven architectures • Experience with containerization (Docker) and orchestration (Kubernetes) • Knowledge of database systems (SQL and NoSQL) and data engineering concepts • Familiarity with API design principles and RESTful services • Experience with version control (Git) and collaborative development workflows Experience • Bachelor's or master’s degree in computer science, Engineering, Mathematics, or a related field (or equivalent experience). • Proven track record of delivering complex AI projects from conception to production • Strong problem-solving abilities and analytical thinking • Excellent communication skills with the ability to explain complex technical concepts to diverse audiences • Experience working in agile development environments