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 strong configuration skills and the ability to problem-solve while being aware of the constraints of such models.

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.

Requirements :

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., E2B Dev).

Required Knowledge :

- Understanding of differences between code-focused LLMs, Completion LLMs, and Chat variants of LLMs.

Framework Experience : (At Least 3 Frameworks)

- E2B Dev Code Interpreters.

- DSPY Automation of Prompt Engineering.

- Lang chain.

- OpenAI APIs, Claude APIs.

- Guidance (For Prompt Following reliability).

- OpenAI whisper for STT.

Nice to have :

- Strong attention to detail.

- Ability to work independently and as part of a team.

- Excellent communication skills to explain complex technical concepts.

- Proactive learner, keeping up with the rapidly evolving field of AI.

We offer :

- Opportunity to work on bleeding-edge projects.

- Work with a highly motivated and dedicated team.

- Competitive salary.

- Flexible schedule.

- Benefits package medical insurance, sports.

- Corporate social events.

- Professional development opportunities.

- Well-equipped office.

About Us :

Grid Dynamics is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services.

Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation.

A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience.

Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.