Sr. Chatbot Engineer with Data Science, RAG & Backend Expertise

We’re GenAI.Labs, a specialized technical consultancy driven by bold ideas and unrestrained curiosity. Our team tackles complex, cutting-edge problems, and we work with cutting-edge companies like Google and UCLA on everything from revolutionary medical imaging models to breakthrough financial prediction platforms to immersive websites and applications for exploding startups. We’re dreamers who think big, aim high, and love solving the unsolvable.

This position will have the opportunity for swift career advancement in a rapidly growing company. The right partner will have the opportunity to grow into managerial roles, raise their salary, gain equity, and develop alongside an expanding organization

Role Overview: As our Senior Chatbot Engineer, you’ll lead the design and implementation of intelligent chatbot systems with RAG capabilities, ensuring our solutions are accurate, responsive, and insightful. In addition to chatbot development, you’ll work closely on the backend and data science side of things to integrate the chatbot with various interfaces, manage retrieval systems, ensure scalability, and optimize the flow of information. You will also have the opportunity to work on other data science problems like computer vision, time-series forecasting, and other forms of NLP.

What you’ll do:

Build Robust Chatbots from Scratch: Design, develop, and deploy sophisticated chatbots capable of handling complex queries, understanding extensive context, taking meaningful actions as agents, and scaling across different use cases.
RAG Implementation: Apply advanced LLMs and data science techniques to manage and preprocess large datasets, optimizing Retrieval-Augmented Generation (RAG) for highly relevant, accurate responses.

Prompt Engineering & Conversational Flow Design: Craft intuitive, natural conversation flows that improve user experience and ensure smooth, engaging interactions.

Dream up complex data science solutions to hard problems: Fine-tune models, conduct model distillation, and research and implement cutting-edge techniques to enhance performance for chatbots and other DS applications like computer vision, time-series forecasting, and other types of NLP.

Qualifications:

Chatbot Expertise: You need to have built complex chatbots that integrate vast amounts of context and operate as real-time agents from scratch. Proficiency in RAG and hands-on experience with popular LLM/chatbot frameworks is essential.

Data Science Expertise: 5+ years experience in DS. Strong proficiency in data analysis, retrieval techniques, and experience working with large datasets and embeddings.

NLP & Machine Learning: Expertise in NLP, including hands-on experience with large language models and transformers (e.g., GPT, BERT, Mistral). Proficiency in fine-tuning and adapting models using machine learning frameworks is required.

Backend & API Development: Solid experience working on backend technologies (e.g., Python, Node.js), database management (SQL/NoSQL), and API integration.

What We’re Really Looking For
You need to be an expert in building chatbots and applying data science solutions. We said that already. But, besides that, all you need is an itchy amount of curiosity and a deep drive to learn new things in the field of technology. The job is highly selective, but the requirements are not conventional. It’s not about your resume but how you think. It’s not about a laundry list of fancy job titles, but work ethic is extremely important, and experience solving problems on your feet is critical. Do you sometimes wonder about quantum computers, our cyborg future, or building machines that are smarter than us? If these ideas bore you, so will the job. If not, welcome.

How to Apply
Think you’re a fit? Skip the formal cover letter—show us how you think. Send your resume, examples of complex, scalable chatbots you’ve built, and share one problem you solved that gave you the itch to solve more.