Junior Agentic AI Engineer (Google Vertex AI)

Job Title: Junior Agentic AI Engineer
(Google Vertex AI)

Location: Remote (based in London) 

About the Role

We are seeking a highly
motivated and enthusiastic Junior Agentic AI Engineer to join our innovative
team. This role offers an exciting opportunity to contribute to the development
and deployment of cutting-edge AI agents on Google Cloud's Vertex AI platform.
The successful candidate will work closely with senior engineers and data
scientists to design, build, and optimise intelligent agents that automate
complex tasks, enhance decision-making, and drive business value. This is an
ideal position for a recent graduate or early-career professional passionate
about agentic AI and eager to grow their expertise in a dynamic environment.

Key Responsibilities

• Assist in the design, development, and
  implementation of AI agents using Google Vertex AI, specifically
  leveraging Vertex AI Agent Builder.
  
• Utilise Agent Development Kits (ADKs) to
  create, configure, and integrate agent functionalities.
  
• Write clean, efficient, and
  well-documented Python code for agent logic, data processing, and API
  integrations.
  
• Collaborate with cross-functional teams
  to understand requirements and translate them into technical
  specifications for agentic solutions.
  
• Perform testing, debugging, and
  troubleshooting of AI agents to ensure optimal performance and
  reliability.
  
• Monitor agent performance, identify
  areas for improvement, and contribute to iterative enhancements.
  
• Stay abreast of the latest advancements
  in agentic AI, large language models (LLMs), and Google Vertex AI
  capabilities.
  
• Contribute to the documentation of agent
  architectures, development processes, and operational guidelines.
  
• Participate in code reviews and
  contribute to a culture of continuous learning and improvement.
  

Required Skills &
Qualifications

• Education:
  
• Bachelor's degree in Computer Science,
  Artificial Intelligence, Machine Learning, Software Engineering, or a
  related quantitative field.
  
• Programming:
  
• Proficiency in Python is essential, with a
  solid understanding of object-oriented programming principles.
  
• Cloud & AI Platforms:
  
• Familiarity with Google Cloud Platform (GCP)
  services, particularly Vertex AI.
  
• A strong understanding of, or demonstrable
  experience with, Vertex AI Agent Builder for creating and managing AI
  agents.
  
• Knowledge of Agent Development Kits (ADKs)
  and their application in building intelligent agents.
  
• AI/ML Fundamentals:
  
• Basic understanding of machine learning
  concepts, large language models (LLMs), and their application in agentic
  systems.
  
• Familiarity with prompt engineering
  techniques.
  
• Technical Skills:
  
• Experience with version control systems, such
  as Git.
  
• Understanding of RESTful APIs and experience
  with integrating external services.
  
• Soft Skills:
  
• Excellent problem-solving abilities and a
  keen eye for detail.
  
• Strong communication skills, both written and
  verbal, with the ability to articulate technical concepts clearly.
  
• A proactive and collaborative team player
  with a strong desire to learn and adapt to new technologies.
  
• Ability to manage multiple tasks and
  prioritise effectively in a fast-paced environment.
  

Desirable Skills

• Prior experience with other AI/ML
  frameworks (e.g., TensorFlow, PyTorch).
  
• Understanding of MLOps principles and
  practices.
  
• Relevant Google Cloud certifications
  (e.g., Associate Cloud Engineer, Professional Machine Learning Engineer).
  
• Experience with containerisation
  technologies (e.g., Docker, Kubernetes).