AI Agent Developer - 12 Month Contract

SAMSUNG; Borough of Spelthorne; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading global technology company in the UK is seeking an experienced AI Agent Developer to design and implement an AI system for QA coordination tasks. The ideal candidate will have a Bachelor's degree in a technical field and strong programming skills, specifically in Python. This role operates under a hybrid work model, requiring 3 days onsite and 2 days remote. Competitive hourly rate offered.

Qualifications

• Experience in software development (Backend or Full-Stack).
• Proven experience with LLM APIs in a commercial environment.
• Strong proficiency in Python or other related languages.

Responsibilities

• Design and implement NLP pipelines for Release Notes.
• Develop a RAG system tailored for QA policies.
• Build an AI agent architecture using modern LLM APIs.

Skills

Software Development

Python

NLP

AI Frameworks

Communication Skills

Education

Bachelor's degree in Computer Science or related field

Tools

LLM APIs

LangChain

LlamaIndex

Job description

Position Summary

We are seeking a highly skilled AI Agent Developer to design, build, and deploy a web-based AI agent that will automate and elevate our core QA coordination tasks.

The primary mission for this role is to create an intelligent system that :

1. Learns and internalises our comprehensive Test Policies.
2. Analyzes new Release Notes as they are published.
3. Generates a precise, actionable Test Guide based on the changes identified.
4. Publishes this guide automatically to our internal QA website.

This is a unique opportunity to build a sophisticated AI solution from the ground up, directly impacting our operational efficiency and product quality. You will be translating complex human-led coordination into a streamlined, autonomous process.

This is a 12 month outsourced contract role where you will be working via one of our preferred recruitment agencies on an hourly rate.

Role and Responsibilities

• Design and implement NLP pipelines to parse, understand, and extract key information from unstructured Release Notes and technical Test Policy documents.
• Develop and fine-tune a RAG (Retrieval-Augmented Generation) system, training a model on our specific QA policies to ensure generated content is accurate and context-aware.
• Build a robust AI agent architecture using modern LLM APIs (e.g., OpenAI, Anthropic, Gemini) and application frameworks (e.g., LangChain, LlamaIndex).
• Develop the backend API integrations necessary for the AI agent to automatically publish its generated test guides to our internal web platform.
• Create and maintain a simple, effective web-based UI for the QA team to interact with, review, and (if necessary) override the AI agent's outputs.
• Implement rigorous evaluation and monitoring systems to track the accuracy, relevance, and utility of the AI-generated guides.
• Collaborate closely with QA Coordinators and Engineers to gather feedback, understand nuanced requirements, and continuously improve the agent's performance.

Skills and Qualifications

Required Qualifications (Must-Haves)

• Bachelor's degree in Computer Science, AI, or a related technical field.
• Experience in software development (Backend or Full-Stack).
• Strong proficiency in Python (preferred) or other backend languages (e.g., Node.js, Java) and associated frameworks (e.g., Flask, Django, Express).
• Proven experience building applications using LLM APIs (e.g., Open AI) in a commercial or production-level environment.
• Hands‑on experience with AI frameworks like LangChain or LlamaIndex.
• Excellent English communication skills, both written and verbal. (co‑work with HQ)
• Must have the legal right to work in the UK.

Preferred Qualifications (Nice-to-Haves)

• Experience in designing or building agentic AI systems.
• Experience deploying AI solutions in a cloud environment (AWS, GCP, Azure) and familiarity with MLOps.
• Knowledge of CI / CD pipelines and DevOps principles.
• A portfolio of projects demonstrating Business Process Automation (BPA).

Location and Hybrid Working:

The role is based at Samsung R&D Institute in Staines-upon-Thames, Surrey, UK.

Samsung currently operates a hybrid working policy of 3 days onsite and 2 days working from home weekly.

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.