Full Stack AI Engineer (Capital & Financial Market)

We are seeking experienced Full Stack AI Engineers with strong Capital Markets / Financial Markets domain expertise to design, build, and operationalise AI-powered business solutions. The ideal candidate will work closely with business stakeholders, product owners, and development teams to translate complex business challenges into scalable AI-driven products using modern agentic frameworks, full-stack technologies, and cloud-native architectures. This role requires a combination of financial markets knowledge, software engineering excellence, AI solutioning capability, and strong stakeholder management skills. Responsibilities Collaborate closely with business users to understand problem statements, business objectives, and operational challenges. Independently drive discovery sessions and conduct research on business processes, data sources, market products, and interface systems. Analyse requirements and design end-to-end AI-powered solutions leveraging agentic AI tools and modern development frameworks. Develop and demonstrate working prototypes and solutions to business stakeholders for validation and endorsement. Partner wth engineering and DevOps teams to operationalize and deploy solutions into production. Engage confidently with senior stakeholders, including Directors and Managing Directors, presenting recommendations backed by data and analysis. Participate in architecture reviews, solution discussions, and executive forums. Drive innovation by evaluating emerging AI technologies and industry best practices. Contribute to the overall AI engineering and solution architecture strategy within the organization.

Profile: Minimum Bachelor’sdegree in IT/Computer Science or other relevant discipline Experience: 8 to 15 years in Software Engineering / Full Stack Development. Domain Knowledge: Strong experience in Capital Markets or Financial Markets products. AI Expertise: Hands-on experience with Agentic AI tools such as Dify, Google ADK, LangChain/LangGraph, Prompt Engineering Frameworks, and AI Skills Engineering. Full Stack Development: Strong background in building end-to-end enterprise applications and integrations. Business Engagement: Work closely with business users to understand requirements, conduct discovery sessions, and translate business problems into AI solutions. Solution Design: Design, develop, and demonstrate AI-powered products and prototypes for stakeholder approval. Stakeholder Management: Confident in engaging with senior stakeholders, including MD-level executives, and presenting solutions clearly. Data Engineering: Experience with ETL, data pipelines, data integration, and managing structured/unstructured data. Cloud & DevOps: Hands-on experience with Docker, Kubernetes, OpenShift, PCF, AWS, and CI/CD practices. Thought Leadership: Strong end-to-end solutioning capability and awareness of emerging AI technologies. Soft Skills: Excellent communication, presentation, problem-solving, and emotional intelligence. Preferred: Open-source contributions, participation in tech communities, and a Computer Science/IT degree.