Role & Responsibilities :

1. 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.

2. 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.

3. 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.

Ideal Candidate :

- Experience :

47 years of experience in Python, Node.JS, JavaScript, HTML/CSS, Redis, Postgres, Azure COSMOS, DevOps, CI/CD with exposure to AI/ML

- Educational Background : Bachelors or Masters degree in computer science, Engineering, or a related field.

- Strong programming skills in languages such as Python, Node.JS, JavaScript, HTML/CSS.

- Familiarity with Redis, Postgres, Vector Embeddings, Speech-to-Text & Text-to-Speech Services, Azure COSMOS, DevOps,

CI/CD, Lang-Chain or Lang-Graph.

- Strong understanding of prompt engineering, tool calling, and agent orchestration.

- Experience building with or integrating LLMs for task automation, reasoning, or autonomous workflows