We are looking for an experienced and innovative Generative AI Tech Lead to join our Grid team. In this role, you will lead the development of advanced AI systems using Large Language Models (LLMs), transformers, and other GenAI architectures. You will collaborate with cross-functional teams to build scalable solutions in NLP, multimodal learning, and content generation.

Project Description

The engineer is supposed to participate in pre-sales, discovery phases of projects and lead projects. They are also expected to be capable of starting the project from scratch and lead the team.

Details on Tech Stack

Python
Prompt engineering
Best practices for prompt engineering
How LLM can be used in applications for a variety of tasks
NLP
Understanding of typical NLP problems: classification, NER, summarization, question answering, sentiment analysis, etc.
Theoretical intuitive understanding of how Transformers work (tokenization, attention, etc).
Word and sentence embeddings
Vector search
Vector databases, performance tuning
Document chunking techniques
LLM applications development
LangChain, LlamaIndex
Chain of Thoughts, DSP, and other techniques
Agents and tools
Google cloud (GCP)

Nice to Have Requirements

Preferable, the engineers are expected to have IT services/consulting experience.
Proficient in developing LLM-powered systems using advanced prompt engineering techniques, RAG and agentic design patterns. Experienced with frameworks like LangChain, LlamaIndex, and DSPy.
Familiar with evaluation approaches and metrics for different types of LLM-based systems.
Experienced with keyword and vector search methods, including understanding of their underlying algorithms. Familiar with popular vector search engines.
Competent in various document understanding models and techniques to parse complex documents and implement effective chunking strategies for RAG systems.
Familiar with LLM and embedding models fine-tuning techniques.
Competent in using joint vision-language and generative models to solve various problems related to image generation, visual question answering, and multi-modal search. Familiar with diffusion models and associated techniques like LoRA, Dreambooth, and ControlNet.
Understanding of the challenges and risks associated with the development of Generative AI systems and how to mitigate them.
Familiar with various architecture design patterns for different types of LLM-based applications such as chatbots, text2sql, document understanding, etc. Familiar with various approaches to scalability and cost reduction in Generative AI systems.
Ability to stay updated with the latest advancements in Generative AI and integrate emerging technologies to drive innovation and improve the performance of AI systems.
Familiar with Responsible AI principles and Human-AI interaction design best practices.

Perks & Benefits:

Competitive salary & performance-based bonuses
Remote work flexibility / Hybrid options
Continuous learning budget & GenAI certifications
Opportunity to work on cutting-edge AI projects
Dynamic and collaborative team environment

GenAI Tech Lead /GTM

GenAI Tech Lead