Junior Agentic AI Engineer (Google Vertex AI)
Job Title: Junior Agentic AI Engineer
(Google Vertex AI)Location: Remote (based in London) Contract duration: 3 months initialStart date: Immediate About the RoleWe 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 ResponsibilitiesAssist 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 &
QualificationsEducation: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 SkillsPrior 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).#LI-Remote
Apply Now
(Google Vertex AI)Location: Remote (based in London) Contract duration: 3 months initialStart date: Immediate About the RoleWe 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 ResponsibilitiesAssist 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 &
QualificationsEducation: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 SkillsPrior 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).#LI-Remote
Apply Now