Enable job alerts via email!

AI Agent Developer

WA Consultants Ltd

City Of London

On-site

GBP 60,000 - 80,000

Full time

Yesterday
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A major electronics company is seeking an AI Agent Developer to design and build an AI-driven system for automating QA coordination activities. The ideal candidate has a Bachelor's in Computer Science or related fields, strong backend development experience, and proficiency in Python. This role offers the opportunity to work with advanced AI technologies and ensures continuous improvement of AI-generated outputs.

Qualifications

  • Strong background in backend or full‑stack software development.
  • High proficiency in Python or other backend languages.
  • Demonstrable experience using LLM APIs in production environments.

Responsibilities

  • Build NLP pipelines capable of parsing and understanding Release Notes.
  • Develop and fine‑tune a RAG system based on the client’s QA policies.
  • Architect the AI agent using modern LLM technologies.

Skills

NLP pipeline development
Backend or full-stack development
Python programming
Using LLM APIs
Experience with LangChain or LlamaIndex
Excellent communication skills

Education

Bachelor’s degree in Computer Science, AI, or a related field
Job description

On behalf of a client, a major electronics company, I am looking for a highly skilled AI Agent Developer to design, build, and deploy a next‑generation, web‑based AI system that will automate and enhance key QA coordination activities.

The successful candidate will be responsible for creating an AI‑driven system that:

  1. Learns and internalises comprehensive internal Test Policies.
  2. Analyses newly published Release Notes.
  3. Produces clear, accurate, and actionable Test Guides based on identified changes.
  4. Automatically publishes these guides to the internal QA platform.
Role Overview

You will translate complex, human‑led QA coordination processes into a streamlined, autonomous AI workflow. This role offers both technical ownership and creative freedom to shape the architecture, tools, and systems used.

Key Responsibilities
  • Build NLP pipelines capable of parsing, understanding, and extracting key insights from Release Notes and Test Policy documents.
  • Develop and fine‑tune a RAG (Retrieval‑Augmented Generation) system based on the client’s QA policies to ensure context‑aware outputs.
  • Architect the AI agent using modern LLM technologies (OpenAI, Anthropic, Gemini) and frameworks such as LangChain or LlamaIndex.
  • Implement backend integrations enabling the AI agent to automatically publish generated Test Guides to the internal QA website.
  • Create a clean, user‑friendly web UI for QA teams to review and, when needed, override AI‑generated content.
  • Design evaluation and monitoring tools to ensure accuracy, relevance, and continued improvement.
  • Collaborate closely with QA Coordinators and Engineers to refine requirements and enhance system performance.
Required Qualifications
  • Bachelor’s degree in Computer Science, AI, or a related field.
  • Strong background in backend or full‑stack software development.
  • High proficiency in Python (preferred) or other backend languages such as Node.js or Java.
  • Demonstrable experience using LLM APIs in production environments.
  • Practical experience with frameworks such as LangChain or LlamaIndex.
  • Excellent written and verbal English communication skills.
  • Must have the legal right to work in the UK.
Preferred Qualifications
  • Experience building agentic or autonomous AI systems.
  • Experience deploying AI systems in cloud environments (AWS, GCP, Azure) and familiarity with MLOps.
  • Knowledge of CI/CD pipelines and DevOps principles.
  • Portfolio featuring projects in Business Process Automation.

WA Consultants is an Employment Business and an Employment Agency as described within The Conduct of Employment Agencies and Employment Businesses Regulations 2003.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.