Java Full Stack Developer - GenAI Systems

Overview

Crisil Integral IQ, owned by S&P Global, support the execution of its clients’ financial analysis workflows, providing offshore analysts and tools. It serves a significant portion of the financial industry, including 15 of the top 20 global investment banks and 35 of the top 50 commercial banks.

Project Details

Generative AI will fundamentally impact on the day-to-day job of financial analysts, automating certain tasks, and enabling much deeper analysis at a larger scale. In the context of this transformation, Crisil Integral IQ is developing tools and solutions for integrating GenAI into several financial analysis workflows. The solutions are developed and tested in partnership with large asset managers and banks. These solutions combine our in-depth knowledge with agentic architectures, leveraging the capabilities of frontier LLMs. To support this effort, we are currently recruiting an international team that will be focused on prototyping and experimentation using the latest innovations and tools in the field of agentic systems.

Role Overview

We're seeking an experienced Full Stack Developer with AI expertise to join our innovative team. In this role, you will be responsible for building end-to-end GenAI applications with a focus on both frontend and backend implementation.

Responsibilities

• Design and implement end-to-end RAG systems and AI interfaces
• Develop vector search solutions and custom embedding approaches
• Create AI feedback loops and monitoring systems
• Implement AI caching strategies and security middleware
• Design and optimize LLM system architectures
• Build AI error handling and recovery UIs
• Develop multi-agent systems for complex workflows
• Implement AI data validation pipelines and quality monitoring
• Create AI security measures including prompt injection prevention
• Help scale and optimize AI applications
  
  

• Awareness and hands-on experience with LLM-based applications
• 12+ years of experience in full-stack development
• Experience with production LLM systems
• Master's or PhD in Computer Science, AI/ML, or related field
• Expert-level programming proficiency in multiple languages (Python, Java, JavaScript)
• Experience with cloud platforms (AWS, Azure, GCP)
• Expertise in GenAI architectures (RAG systems, vector search, prompt engineering)
• Experience with vector databases and embedding technologies
• Knowledge of event-driven architectures
• Familiarity with AI monitoring tools and testing frameworks
  
  

• Active contributor to GenAI community (publications, contributions to open-source projects, blog, personal GenAI projects, etc.)
• Advanced certifications in GenAI development
• Experience with hybrid LLM architectures and model deployment
• Expertise in multi-agent system architecture
• Implementation of AI cost optimization frameworks
• Knowledge of AI data versioning systems
  
  

Interested candidates who meet the qualifications are encouraged to apply. If you do not meet all the qualifications but you think you can still be a good match, don’t hesitate to apply.