Full Stack Developer - GenAI Systems

Full Stack Developer - GenAI Systems

Location: India

Company 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

Required Qualifications

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

Nice to have

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.

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