About Us

Graphit 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. Familiarity with cloud services and platforms that support AI model

scaling, management, and optimization is essential.

-Experience with Docker, Flask, FastAPI, and other relevant technologies for containerizing and

serving ML models in production settings. This includes understanding the best practices for

developing, 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 agile

methodologies.

We offer:

-Up to 7k USD/month

-Fast-paced, informal working setting

-Working alongside very experienced GenAI lead

-Fully-remote work

Our website: https://graph-it.co.uk