Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end-to-end AI solutions, starting from strategy development, planning all the way to implementation.
This role will involve working alongside the CTO and a team of engineers, on various business engagements, such as client projects and internal company products. Some examples of these engagements include client scoping programmes, and PoC/MVP software development. A significant focus will be on building and optimizing Large Language Model (LLM) inferences and creating robust web services. This includes developing event-driven and request-response systems to run RAG (Retrieval-Augmented Generation) answer generation pipelines, essential for delivering sophisticated AI-driven solutions. Your role will require strong communication skills to effectively liaise between application and product development teams, as well as to articulate complex technical concepts at varying levels of detail. Your contributions will be pivotal in advancing the company’s capabilities in LLM inferences and enhancing the overall quality of AI solutions.
Some experience in programming languages such as Python, C/C++, and familiarity with object-oriented programming
Experience of working with or an understanding of LLM frameworks such as Haystack, LlamaIndex, and LangChain, with a focus on Retrieval-Augmented Generation (RAG) and text/chat generators
Cloud computing with AWS (ECS, EKS, DynamoDB, Bedrock)
Knowledge of git version control, branching, and code versioning
Passionate about code quality, adhering to best practices for code quality, performance, testing, monitoring, documentation, CI/CD
Experience working in an agile framework preferable, including defining functional and non-functional requirements and sprint tasks
Understanding of data engineering, some experience with building production-grade ETL pipelines, as well as backend web development, backend-for-frontend, GraphQL, and FastAPI
Strong communication skills, able to communicate with both technical and commercial people
BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM)
Understanding of or working with AI/ML algorithms and data science
Docker and Kubernetes
Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and Claude
Knowledge of Git version control, branching, and code versioning