Senior Software Engineer – AI Solutions

About the role

We are looking for an experienced Senior Software Engineer to design, develop, and deliver enterprise-grade AI solutions for different banking domains. You will work on a diverse range of innovative solutions, including conversational AI, Retrieval-Augmented Generation (RAG) platforms, AI agents/Agentic AI, intelligent document processing, workflow automation, knowledge management systems, and enterprise integrations. Working closely with Solution Architects and Technical Leads, you will build scalable, secure, and production-ready applications that solve real business challenges while leveraging modern cloud and AI technologies.

Key responsibilities

• Translate approved business use cases and solution designs into secure, scalable, and maintainable enterprise applications
• Develop backend services, microservices, RESTful APIs and, where required, responsive web interfaces using the approved technology stack
• Build and enhance conversational AI, RAG, semantic search, AI-agent, intelligent document processing, knowledge management, and workflow automation capabilities
• Integrate applications with enterprise data services, enterprise databases, vector stores, model platforms, event or messaging services, identity platforms, and third-party APIs
• Implement enterprise controls for authentication and authorisation, secrets, encryption, sensitive-data handling, audit logging, AI guardrails, and secure software development
• Create automated tests and AI evaluation checks; monitor quality, performance, latency, availability, safety, and cost-related engineering indicators
• Package and deploy applications through approved CI/CD pipelines, containers, and Kubernetes-based environments across development, testing, and production
• Troubleshoot defects and production incidents, complete root-cause analysis, and implement durable corrective actions within agreed service and delivery timelines
• Participate in architecture and technical-design reviews, document solutions, review code, and contribute to reusable engineering standards and components
• Work closely with Product Owners, Solution Architects, Data Scientists, Cybersecurity, Data Governance, DevOps, Infrastructure, UI/UX, business teams, and delivery partners

About you

• Bachelor's Degree in Computer Science, Information Technology, or equivalent
• Minimum five years of professional software engineering experience, including delivery and support of production applications
• At least two years of hands-on experience with Generative AI, RAG, machine learning, or intelligent automation
• Strong hands-on proficiency in Python
• Strong understanding of application architecture, object-oriented programming, design patterns, clean code, RESTful APIs, and microservices
• Hands-on experience with SQL, NoSQL and vector databases, Git-based development, automated testing, Docker, Kubernetes or containerised development, CI/CD, and Agile delivery
• Ownership, analytical problem-solving, attention to detail, clear communication, stakeholder collaboration, continuous learning, and focus on measurable business outcomes
• Experience with Java and Node.js for enterprise integration is desirable
• Delivery of multiple production-grade AI applications is highly desirable
• Practical experience with RAG pipelines, AI agents, LLM orchestration frameworks, LLM evaluation, observability, security controls, and production troubleshooting is highly desirable