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Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
Participates in evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
Engages in communities of practice across Software Engineering to promote awareness and use of new and leading-edge technologies.
Designs and implements scalable Generative and Agentic AI solution using LLM, Prompt Engineering, RAG, Tools, MCP and Multi-Agent system.
Required Qualifications, Capabilities, And Skills
Formal training or certification on software engineering concepts and 3**+ years** applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Hands-on experience in designing and building production grade Generative and Agentic AI solution using Java
Experience in programming Java, Spring Boot, ORM frameworks, JPA, SQL
Experience in Prompt engineering and LLM Integration with multiple models e.g. OpenAI, Anthropic, Google
Exposure to AI framework and Platforms like SpringAI, LangGraph4J, LangChain4J, Amazon Bedrock,
Experience in setting up Data pipeline, RAG for model embedding and learning
Experience in building Tools / Functions using MCP for Agentic AI solution
Practical experience with Cloud (AWS or Azure or GCP) and Containers (Docker, Kubernetes).
Proficient in all aspects of the Software Development Life Cycle. Strong understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
Knowledge of the financial services industry and their IT systems.
Preferred Qualifications, Capabilities, And Skills