LLM Development Lead

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models, in particular, to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge LLM applications and systems for our clients. Your primary focus will be on driving innovation and leveraging LLMs to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of LLM apps.

Job Description:

Responsibilities:

Develop and extend digital products and creative applications, leveraging LLM technologies at their core.
Lead a product development and product operations team to further develop, enhance and extend existing digital products built on top of LLMs
Lead client onboarding, client rollout, and client adoption efforts, maximizing use of the product across multiple clients
Lead enhancements and extensions for client specific capabilities and requests
Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs
Ability to work with Base Foundation LLM Models, Fine Tuned LLM models, working with a variety of different LLMs and LLM APIs.
Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines.
Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions.
Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation.
Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field
Design and optimize Gen-AI Apps for efficient data processing and model leverage.
Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation.
Evaluate and fine-tune models to ensure high performance and accuracy.
Collaborate with engineers to develop and integrate AI solutions into existing systems.
Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base.

Must-Have:

Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development.
Minimum 2 years hands-on experience in working with Large Language Models
Hands-on Experience with building production solutions using a variety of different.
Experience with multiple LLMs and models - including Azure OpenAI GPT model family primarily, but also Google Gemini, Anthropic Claude, etc.
Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI.
Solid Hands-on, and Deep Experience working with RAG pipelines and Enterprise technologies and solutions / frameworks - including LangChain, Llama Index, etc.
Solid Hands-on Experience with developing end-to-end RAG Pipelines.
Solid Hands-on Experience with AI and LLM Workflows
Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc.
Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.).
Experience with LLM evaluation frameworks such as Ragas, and their use to evaluate / improve LLM model outputs
Experience in data preprocessing, and post-processing model / results evaluation.
Hands-on Experience with API Integration and orchestration across multiple platforms
Good Experience with Workflow Builders and Low-Code Workflow Builder tools such as Azure Logic Apps, or n8n (Nodemation)
Good Experience with Serverless Cloud Applications, including Cloud / Serverless Functions with Azure
Good Experience with Automation Workflows and building Automation solutions to facilitate rapid onboarding for digital products
Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models.
Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models.

Nice-to-Have Skills (not essential, but useful) :

Good understanding of Transformer Models and how they work.
Hands-on Experience with Fine-Tuning LLM models at scale.
Good Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents.
Some experience with Single-Agent and Multi-Agent Orchestration solutions
Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable.
Hands-on Experience with Image Processing and Creative Automation at scale, using AI models.
Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models.
Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models.
Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well.
Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text.
Good Background and Foundation with Machine Learning solutions and algorithms
Experience with designing, developing, and deploying production-grade machine learning solutions.
Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
Experience with custom ML model development and deployment
Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Strong knowledge of machine learning algorithms and their practical applications.
Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry.
Hands-on Experience with Video Generation models.
Hands-on Experience with 3D Generation Models.