GenAI (LLM) ML Engineer in Graphit

Direct message the job posting member from Graphit Maksym Verveha Maksym Verveha CEO Co-Founder @Graphit | LSE MSc | AI & Data Expert | Helping enterprises achieve 10x faster insights and smarter interactions with your platform… About UsGraphit is a technology company bridging the gap between business objectives and complex AI solutions, with a focus on Generative AI platforms, Big Data and advanced agentic AI systems. About the Role We are looking for a top-notch GenAI engineer (LLM focused) to work in a fast paced environment, make critical technical and business decisions, solve complex problems, communicate with stakeholders and grow at a fast pace. You will collaborate closely with Team Lead and play a key role in the life cycle of GenAI projects, starting from solution design and architecture up to optimization and deployment. The industry is booming now, and speed is everything. Therefore we are looking for a person looking to learn fast and take extra responsibilities. Responsibilities-Collaborate closely with the development team and senior engineers to gain a deep understanding of project requirements and objectives.-Develop a Large Language Model (LLM) Proof of Concepts (PoCs ), taking a lead role in conceptualizing and implementing innovative ideas and solutions that push the boundaries of what's possible with GenAI.-Drive the construction and maintenance of efficient development pipelines, overseeing the process from concept to production and ensuring best practices are followed for optimal performance and scalability.-Lead junior developers in specific tasks and projects, providing mentorship and guidance to foster their growth and ensuring high-quality contributions to the development efforts.-Actively engage in problem- solving discussions, leveraging technical expertise to address and overcome business challenges faced by clients, and contributing to the strategic planning of project implementations. Must-Have Qualifications-1 year + in working with Large Language Models (LLMs) and their applications, backed by practical projects that showcase a deep understanding of LLM capabilities, use cases, and constraints. This experience should reflect a keen insight into the nuances of generative AI technologies.-A minimum of 3 years of professional experience in the field of Machine Learning, with a specific focus on Natural Language Processing (NLP). This should include hands-on work with a range of ML models and NLP techniques, demonstrating a track record of solving complex problems in this domain.-Proficiency in cloud-based MLOps practices, with experience in deploying large AI models into production environments. Familiaritywith cloud services and platforms that support AI modelscaling, management, and optimization is essential.-Experience with Docker, Flask, FastAPI, and other relevant technologies for containerizing andserving ML models in production settings. This includes understanding the best practices fordeveloping, testing, and deploying scalable and secure AI-powered applications.-Practical experience working with:1. State of art AI frameworks including:pytorch, transformers, llangchain)2. Complex multiagent systems / frameworks ( Langgrapg, crewAI, etc.)3. Knowledge of how AI integrates with different Databases (SQL, NoSQL, VectorDB, etc..)Nice-to-Have Qualifications-Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related field.-Knowledge of software engineering principles and practices, including version control and agilemethodologies.We offer:-Up to 7k USD/month-Fast-paced, informal working setting-Working alongside very experienced GenAI lead-Fully-remote workOur website: https://graph-it. Show more Show less Посадовий рівень Старший середній рівень Тип зайнятості Повний робочий день Посадові обов’язки Інженерія і Інформаційні технології Галузі ІТ-послуги та ІТ Консалтинг