AI Agent Developer - 12 Month Contract bei Sec

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.

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