View all jobs
Technical Requirements:
Nice to have skills: (please at least 3 skills/exp):
1- Experience with chatbot frameworks (e.g., Rasa, Botpress, Microsoft Bot Framework)
2- Knowledge of enterprise security and compliance requirements for AI systems
3- Understanding of chatbot analytics and performance monitoring
4- Experience with hybrid approaches combining rule-based and AI-powered responses
History of the role (new role or replacement?): New role
Team size and environment: 10 data science & AI team
Data Scientist 3 / Scientifique de données 3- TLUSJP00019457
Remote, RemoteDATA SCIENTIST - LLM SPECIALIST:
Chatbot & AI Assistant Development
As a LLM Specialist and Data Scientist, you'll join our innovative team developing next-generation conversational AI solutions. You will be instrumental in designing, developing, and deploying sophisticated chatbots and AI assistants that transform how our business interacts with customers. Working alongside talented engineers and product teams, you'll leverage cutting-edge Large Language Models to create intelligent, context-aware conversational experiences while ensuring robust deployment in our Google Cloud infrastructure.
As a LLM Specialist and Data Scientist, you'll join our innovative team developing next-generation conversational AI solutions. You will be instrumental in designing, developing, and deploying sophisticated chatbots and AI assistants that transform how our business interacts with customers. Working alongside talented engineers and product teams, you'll leverage cutting-edge Large Language Models to create intelligent, context-aware conversational experiences while ensuring robust deployment in our Google Cloud infrastructure.
Core Responsibilities – AI/LLM Engineer:
- Develop AI-powered conversational agents leveraging state-of-the-art LLMs such as GPT-4, Claude 3.5, and Gemini 2.0.
- Design and implement prompt engineering strategies to optimize model performance and outputs.
- Build and enhance RAG (Retrieval Augmented Generation) pipelines for efficient knowledge retrieval and response generation.
- Deploy, maintain, and monitor production-ready AI solutions on Google Cloud Platform (GCP).
- Drive continuous improvement, monitoring, and deployment of AI systems to ensure reliability, scalability, and performance.
Qualification:
Strong expertise in NLP, LLMs, and conversational AI development, with 5+ years of experience in ML/AI development.
Proven ability to fine-tune, optimize, and deploy large language models for production-grade, scalable AI solutions.
Skilled in prompt engineering, chain-of-thought reasoning, vector databases, semantic search, RAG pipelines, transfer learning, model evaluation, and Responsible AI practices.
Bachelor’s, Master’s, or PhD in Computer Science, AI, or related field, preferably with a focus on NLP/ML & LLMs.
Technical Requirements:
1- Advanced NLP & LLM Expertise
Hands-on experience with LLM frameworks such as LangChain and LlamaIndex.
Knowledge of Model Context Protocols (MCPs), containerization, microservices, and MLOps practices.
Experience in LLM deployment optimization, semantic caching, streaming implementations, and multi-cloud LLM providers (OpenAI, Anthropic, Google).
Hands-on experience fine-tuning and deploying large language models (e.g., GPT, BERT, T5)
Experience with chatbot frameworks (e.g., Rasa, Botpress, Microsoft Bot Framework)
Knowledge of context management and multi-turn conversation handling
Deep understanding of prompt engineering and LLM optimization techniques
Experience with LLM evaluation metrics and performance optimization
Experience with function calling and tool use in LLM applications
Familiarity with multi-agent systems and agent coordination
Strong understanding of Gen AI memory management and state persistence
Knowledge of context management and multi-turn conversation handling
Deep understanding of prompt engineering and LLM optimization techniques
Experience with LLM evaluation metrics and performance optimization
Experience with function calling and tool use in LLM applications
Familiarity with multi-agent systems and agent coordination
Strong understanding of Gen AI memory management and state persistence
2- Programming & Development Skills
Proficiency in Python and relevant ML/DL frameworks like PyTorch, TensorFlow, Hugging Face
Experience with API development and integration (REST APIs, GraphQL)
Version control and collaboration tools (Git, GitHub)
Version control and collaboration tools (Git, GitHub)
3- Data Processing & Engineering
Strong experience in data preprocessing and cleaning for LLM training
Knowledge of text embedding techniques and vector databases
Expertise in handling large-scale text datasets and efficient data pipelines
Strong experience in data preprocessing and cleaning for LLM training
Knowledge of text embedding techniques and vector databases
Expertise in handling large-scale text datasets and efficient data pipelines
4.Familiarity with Google Cloud Platform (GCP) and enterprise security & compliance requirements.
Nice to have skills: (please at least 3 skills/exp):
1- Experience with chatbot frameworks (e.g., Rasa, Botpress, Microsoft Bot Framework)
2- Knowledge of enterprise security and compliance requirements for AI systems
3- Understanding of chatbot analytics and performance monitoring
4- Experience with hybrid approaches combining rule-based and AI-powered responses
History of the role (new role or replacement?): New role
Team size and environment: 10 data science & AI team