Role & Responsibilities

Agentic AI Development :

- Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities.

- Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures.

- Build negotiation-capable bots with real-time context adaptation and recursive feedback processing.

Generative AI & Model Optimization :

- Fine-tune LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.).

- Apply distillation and quantization for efficient deployment on edge devices.

- Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases.

Speech and Conversational Intelligence :

- Implement contextual dialogue flows using speech inputs with emotion and intent tracking.

- Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses.

- Work on real-time speaker diarization and multi-turn, multi-party conversation tracking.

Voice Biometrics & AI Security :

- Train and evaluate voice biometric models for secure identity verification.

- Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering.

- Ensure compliance with voice data privacy and ethical AI guidelines.

Self-Learning & Autonomous Adaptation :

- Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining.

- Enable low-footprint learning systems on-device to support personalization on the edge.

Ideal Candidate

Educational Qualifications :

- Bachelors/Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Experience Required :

- 35 years of experience, with a mix of core software development and AI/ML model engineering.

- Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems.

Technical Proficiency :

- Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.).

- Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition.

- LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines.

- Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models.

- Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines.

Desirable :

- Exposure to agent-based simulation, reinforcement learning, or behavioral modeling.

- Publications, patents, or open-source contributions in conversational AI or GenAI systems.

Perks, Benefits and Work Culture :

Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of Indias most diversified Non-banking financial companies, and among Asias top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ location