We are seeking an experienced Agentic Automation Engineer to join our team. The ideal candidate will have expertise in Conversational AI, specifically working with LLM-based conversational AI models. This role requires robust configuration skills and the ability to problem-solve while being aware of the constraints of such models.Essential functions
Key Responsibilities
Develop and implement LLM-based conversational AI solutions
Configure and optimize AI models for specific use cases
Troubleshoot and resolve issues related to AI model performance
Stay up to date with the latest advancements in LLM technologies and apply them to our projects
Qualifications
Experience with the following LLM-related technologies: ( At least 5 LLM technologies )
- Chunking
- Document Parsing and OCR
- Document Parsing with VLMs (Vision Language Models)
- Function Calling with LLMs
- Building Agentic Chains
- Memory Handling (Conversational Memory) and Tracking / Tracing Software Agents
- Map Reduce applied to RAG
- Retrieval Augmented Generation
- Traditional Search (BM25, NER based parsers,



Keyword based search index)
- Semantic Search (Embeddings, Embedding models)
- Quantized Embeddings
- Reference Management
- Re-ranking references
- Re-ranking retrieved chunks
- Multimodal RAG
- Cost reduction techniques for LLMs
- Speculative Decoding
- Speech to Text using Whisper or similar models
- Text to SQL/Text to Pandas
- Monte Carlo Tree Search, Tree of Thoughts, Chain of Thoughts, Reasoning Enhancement Techniques for LLMs

Machine Learning Skills
Experience with the following ML techniques: ( At least 3 ML Skills )
- Fine Tuning using LoRA
- Merging multiple LoRA adapters using MergeKit
- Quantising LLMs
- Quantising LoRA adapters
- Creating Table Schemas suitable for LLMs
- Code Folding for Coding LLMs
- Implementation of Code Interpreters (E.g., E2B Dev)

Required Knowledge
Understanding of differences between code-focused LLMs, Completion LLMs, and Chat variants of LLMs
Framework Expe

📌 Senior Data Scientist Engineer (Bengaluru)
🏢 Grid Dynamics
📍 Bengaluru