As a Senior AI Engineer specializing in Generative AI (GenAI) at CHAPTR, you will play a pivotal role in shaping the future of AI technologies. In this dynamic position, you will:
At CHAPTR, you are not just part of the team—you are at the heart of a technological revolution. We empower you to be a trailblazer in the industry, where your work will redefine how businesses and consumers interact with AI. Join us to be a driver, not just a passenger, in the journey toward a smarter, more creative future.
WHAT YOU WILL BE DOINGEnhance AI Capabilities: Implement and optimize Retrieval-Augmented Generation (RAG) pipelines and develop LLM-powered applications to ensure performance, latency, and scalability meet production standards.
Multimodal AI Development: Engage in the development and fine-tuning of multimodal models to handle diverse data types, achieving synergistic performance across different media.
AI System Lifecycle Management: Lead the development and deployment of AI systems using MLOps practices, encompassing efficient model training, testing, deployment, and scaling.
Advanced AI Systems Design: Design and build custom evaluations and agentic AI systems like AutoGen and CrewAI, capable of performing complex tasks autonomously.
Continuous Learning and Innovation: Stay updated with the latest advancements in AI, including agentive frameworks, reinforcement learning from human feedback (RLHF), and explainable AI.
Tooling and Integration: Manage the integration and utilization of LLM-enabled software tooling, such as LangChain, vector databases, HuggingFace, caching solutions, and monitoring tools.
Knowledge Enhancement: Work with knowledge graphs to improve the contextual understanding and response accuracy of AI models, enhancing generative AI applications in the publishing industry.
Collaborative Model Development: Collaborate with AI Engineers to implement solutions, train, optimize, and validate models for various AI challenges identified during the product development lifecycle.
Experience: 5+ years of experience in Python, with a proven track record of deploying and optimizing large language models (LLMs) and related architectures.
Technical Proficiency: Strong skills in AI frameworks, particularly PyTorch, and familiarity with a broad range of technologies relevant to AI development and deployment.
MLOps Expertise: Extensive experience in managing the entire model lifecycle, from development to deployment and scaling, including data and artifact management.
NLP Solutions: Demonstrated experience in building and deploying NLP solutions, focusing on custom model training and fine-tuning.
AI Tooling: Expertise in modern AI infrastructure supporting LLM deployment, including vector databases and monitoring tools.
Knowledge Graphs: Hands-on experience with building and implementing knowledge graphs to enhance AI functionalities.
Innovative Mindset: Solid understanding of the latest trends and technologies in AI, particularly agentive systems, RLHF, and explainable AI, with the ability to apply these in transformative ways.
A highly innovative core AI startup offering:
Highly competitive salary
Work at the forefront of technology with a Rockstar team (Ex-Google, Ex-ExHuman, Ex-AWS)
Great career development opportunities, incl. learning and development budget
Great team of entrepreneurs - with a fun and inclusive culture.
100% fully-remote (UK, Germany, Sweden, Netherlands, Spain, Italy, France, Austria)
Great work life balance (#familyfirst)