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- Tasks: Create innovative AI systems using Python and cutting-edge technologies.
- Company: Join a forward-thinking tech company focused on AI advancements.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Be at the forefront of AI technology and shape the future of intelligent systems.
- Qualifications: 2 years in AI engineering with strong Python skills and hands-on experience.
The predicted salary is between 60000 - 80000 £ per year.
Agentic AI Engineer
TECH STACK
- PRIMARY:
- Python
- LangChain
- LangGraph
- Vertex AI
- Embedding Models
- Prompt Engineering
- Evaluation Models
- RAG
- Vector Databases (FAISS, Pinecone)
- LLM APIs (GCP)
- Docker & CI/CD basics
EXCLUDE: Pure front-end roles, Traditional ML Ops without GenAI work
REQUIREMENTS
- 2 years of experience in AI engineering with strong Python expertise.
- Hands-on experience building agentic or tool-using AI systems.
- Strong understanding of Vertex AI (Gemini), LangGraph and model fine-tuning workflows.
- Experience with LangChain for agent/tool orchestration.
- Knowledge of vector embeddings, retrieval pipelines, and LLM integration.
- Knowledge of GCP (BigQuery, GCS)
EVALUATION TOPICS
- Python & Systems Design 30% Mandatory
- GCP Vertex AI, Prompt Eng 25% Mandatory
- LangChain & Agent Design 25% Mandatory
- Retrieval, Vector DBs 10% Preferred
- Deployment & Optimization 10% Preferred
INTERVIEW FOCUS
- HIGH: Python depth (async, multiprocessing, performance), Vertex AI (Gemini), Embedding Models, Prompt Engineering, Evaluation Models, Building agentic workflows and tool-calling logic
- MEDIUM: Vector search design, Prompt engineering for agent behavior, Deployment/static analysis of model behavior
MUST:
- Ability to design and debug agent loops
- GCP Vertex AI
- Strong understanding of LLM constraints and safety
Agentic AI in Leeds employer: Test Triangle
Contact Detail:
Test Triangle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI in Leeds
✨Tip Number 1
Network like a pro! Connect with folks in the AI space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, LangChain, and Vertex AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and GCP knowledge, and be ready to discuss your experience with agentic AI systems. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some exciting roles that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Agentic AI in Leeds
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used Python in real projects, especially in AI engineering. Don't just list your skills; give us examples of what you've built!
Get Specific with Your Experience: When detailing your experience, focus on your hands-on work with agentic AI systems and tools like Vertex AI and LangChain. We love specifics, so share the challenges you faced and how you overcame them.
Tailor Your Application: Take a moment to tailor your application to our job description. Use the same language and keywords we’ve mentioned, like 'embedding models' and 'prompt engineering'. This shows us you understand what we're looking for!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Test Triangle
✨Master the Tech Stack
Make sure you’re well-versed in Python, LangChain, and Vertex AI. Brush up on your knowledge of embedding models and prompt engineering, as these will be crucial during the interview. Practising coding problems related to these technologies can give you a solid edge.
✨Showcase Your Experience
Prepare to discuss your hands-on experience with agentic AI systems. Be ready to share specific examples of projects where you’ve built or optimised workflows using LangGraph or similar tools. This will demonstrate your practical knowledge and problem-solving skills.
✨Understand the Evaluation Topics
Familiarise yourself with the evaluation topics listed in the job description. Focus on Python depth, GCP Vertex AI, and retrieval pipelines. Prepare to answer questions that test your understanding of these areas, as they are key to the role.
✨Practice Problem-Solving
Expect to tackle real-world scenarios during the interview. Practice designing and debugging agent loops, and think through how you would approach deployment and optimisation challenges. This will help you articulate your thought process clearly when faced with technical questions.