- 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
- Masters 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Full Stack Developer - GenAI Systems (Pune)
🏢 Crisil
📍 Pune