Job Purpose
We are seeking a agile AI Engineer to join our pioneering Conversational Text AI team. The ideal candidate will possess a strong foundation in model development, UI development and development of APIs, multi-system integrations. You will be involved in end-to-end stage of development life cycle.
Duties and Responsibilities
Deliveries with respect to Conversational Text AI Platform:
- Build and maintain Conversational Text AI system using state-of-the-art LLM frameworks.
- Collaborate with product owners and domain experts to build reusable components for business process.
- Develop core infrastructure and reusable components to support the deployment of conversational AI systems.
- Work on orchestration, prompt engineering, and LLM-powered integrations.
- Implement scalable solutions integrated with respective echo systems and enterprise data platforms.
- Contribute to the design of modular, extensible, enterprise-grade architectures.
- Fine-tune optimization for speed, accuracy, performance and maintainability across business units.
- Contribute to CI/CD automation and maintain operational stability of application services.
Generative AI Model Optimization:
- Fine-tune LLMs/SLMs with proprietary NBFC data.
- Perform distillation, quantization of LLMs for edge deployment.
- Evaluate and run LLM/SLM models on local/edge server machines.
Self-Learning Frameworks:
- Build self-learning systems that adapt without full retraining (e.g., learn new rejection patterns from calls).
- Implement lightweight local models to enable real-time learning on the edge.
Key Decisions / Dimensions
Platform Design Delivery, Model Selection, Customization (if any) Testing:
- Choosing the right model for various task and actions.
- Selecting appropriate model so that tasks can complete in efficient manner.
- Defining reusable components in the platform. Delivery using configuration approach should be first preference, in case that does not work should go for customization.
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📌 Senior AI Engineer (Pune)
🏢 Bajaj Finance
📍 Pune
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