Team Lead/AI Engineer - NLP/LLM (7-10 yrs)

Key Responsibilities :

- Oversee the deployment and tuning of STT, TTS, and LLM models.

- Translate expert agent feedback into model tuning strategies.

- Manage prompt engineering, RAG/CAG integration, and action workflows.

- Customize models rapidly for new enterprise clients.

- Ensure the team can :

1. Understand speech-to-text and text-to-speech models

2. Analyze feedback from expert call agents

3. Develop and refine prompts for LLM tuning

4. Create reliable, scalable workhorse models

5. Optimize model operations to reduce cost

6. Integrate LLMs with Retrieval-Augmented Generation (RAG) and Context-Augmented Generation (CAG) systems

7. Build custom action workflows linked with enterprise data systems

8. Enable rapid customization for customer-specific use cases and data environments

Requirements :

- Strong background in NLP and LLMs (GPT, Mistral, Claude, etc.).

- Experience in leading AI/ML teams or mentoring.

- Exposure to distributed teams across time zones.

- Familiar with cloud platforms (AWS/GCP), vector DBs, LangChain, etc.

- Deep understanding of NLP, speech technologies, and generative AI stacks

- Strong systems architecture and cloud deployment skills

- Experience leading technical teams, ideally in a fast-paced environment