Junior Software Engineer

JR United Kingdom; Brighton; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading AI start-up is looking for a skilled developer to work on innovative AI solutions involving large language model inferences and web services. You will collaborate with engineering teams to optimize AI applications, utilizing cutting-edge frameworks and cloud technology. The role requires strong programming skills, specifically in Python and C/C++, and the ability to communicate complex technical concepts effectively.

Benefits

Healthcare insurance upon passing probation

Qualifications

• Some experience in programming languages such as Python, C/C++, and familiarity with object-oriented programming.
• Experience of working with or understanding of LLM frameworks (Haystack, LlamaIndex, LangChain).
• Understanding of data engineering and building production-grade ETL pipelines.

Responsibilities

• Working alongside the CTO and team on client projects and internal product development.
• Building and optimizing LLM inferences and creating robust web services.
• Developing event-driven and request-response systems for RAG answer generation pipelines.

Skills

Python

C/C++

Object-oriented programming

Cloud computing with AWS

Git version control

Agile framework

Data engineering

Backend web development

Strong communication skills

Education

BSc or MSc in Mathematics, Physics, Computer Science, or Engineering

Tools

Docker

Kubernetes

Job description

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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.

Requirements

• 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).

Desirable knowledge and experience

• 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.

Renumeration:

• Healthcare insurance upon passing probation