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