Senior AI Engineer - Banking

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