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.
Ideal Candidate
Educational Qualifications:
Educational Background:
Bachelor's or Master's degree in computer science, Engineering, or a related field.?
Familiarity with Redis, Postgres, Vector Embeddings, Speech-to-Text & Text-to-Speech Services,
Azure COSMOS
,
DevOps
,
CI
/
CD
,
Lang-Chain
or
Lang-Graph.
Experience building with or integrating
LLMs
for
task automation
, reasoning, or autonomous workflows
Strong understanding of prompt engineering, tool calling, and agent orchestration.
Perks, Benefits and Work Culture
Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India's most diversified Non-banking financial companies, and among Asia's top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we're present in India.
Job Type: Full-time
Pay: ?377,980.57 - ?3,000,000.00 per year
Work Location: In person
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