Junior Software Engineer

JR United Kingdom; Leeds; On-site; GBP 30,000 - 45,000; Full time

Job summary

A growing AI start-up in Leeds seeks a Junior Software Engineer to join their innovative team. The role involves developing and optimizing sophisticated AI solutions, particularly focusing on Large Language Models. Candidates should have a passion for coding excellence and possess qualifications in STEM fields. You'll work closely with senior engineers to advance these cutting-edge technologies in an agile environment.

Benefits

Healthcare insurance upon passing probation

Qualifications

• Some experience in programming languages such as Python and C/C++.
• Familiarity with LLM frameworks like Haystack, LlamaIndex, and LangChain.
• Strong communication skills to engage with technical and commercial teams.

Responsibilities

• Work with the CTO and engineers on AI-driven projects.
• Develop and optimize LLM inferences and web services.
• Engage in client scoping programs and software development.

Skills

Python

C/C++

Cloud computing with AWS

Git version control

Agile framework

Data Engineering

Communication skills

Education

BSc or MSc in Mathematics

Physics

Computer Science

Engineering discipline (STEM)

Tools

Docker

Kubernetes

Haystack

GraphQL

FastAPI

Job description

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Junior Software Engineer, leeds, west yorkshire

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Client:

Brainpool AI

Location:

leeds, west yorkshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

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.

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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