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- Tasks: Design and develop cutting-edge AI prototypes using Google Cloud tools.
- Company: Join a forward-thinking AI engineering team pushing the boundaries of innovation.
- Benefits: Enjoy remote-first work, competitive salary, and a 10% bonus.
- Why this job: Be at the forefront of AI, shaping next-gen systems and making a real impact.
- Qualifications: Expertise in GCP, Python, and LLM frameworks required; Google collaboration experience preferred.
- Other info: Fast-paced environment focused on experimentation and deep technical problem-solving.
The predicted salary is between 64000 - 104000 £ per year.
Generative & Agentic AI Engineer – Google/GCP focus
Location: London (remote-first)
Salary: £80,000 – £130,000 (DOE) + 10% bonus
We’re hiring a highly skilled and innovation-driven Generative & Agentic AI Engineer with a Google/GCP focus and who has personal, tangible credibility working with Google, to join a forward-thinking AI engineering team pushing the boundaries of what\’s possible with large language models and autonomous agents.
This is a fast-paced, hands-on opportunity for someone excited by cutting-edge AI tools and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving.
Key Responsibilities:
- Rapidly design and develop LLM and agent-based prototypes across varied use cases.
- Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow.
- Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL.
- Fine-tune prompts to optimise performance, reliability, and alignment.
- Design and implement memory modules for short-term and long-term agent behaviours.
- Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio.
- Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding.
- Build demo-ready user interfaces with tools like Streamlit, Gradio, or React.
- Develop and maintain robust APIs to connect AI agents to internal and third-party services.
- Leverage SQL to query and integrate structured data into reasoning and knowledge workflows.
- Ensure responsible AI use through tooling like Guardrails and awareness of ethical practices.
About You:
- GCP/Google Cloud expertise
- Personal credibility with Google – experience working collaboratively with their teams, Google Premier Cloud Partner experience etc
- Expert Python developer with a background in building intelligent, multi-step systems.
- Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen.
- Proven track record designing and deploying agentic and generative AI prototypes.
- Deep understanding of semantic search, vector databases, and memory management strategies.
- Familiarity with cloud AI tools, observability platforms, and performance optimisation.
This is an opportunity to work at the forefront of AI innovation, where your work will directly shape how next-generation systems interact, reason, and assist.
GCP & AI Engineer employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP & AI Engineer
✨Tip Number 1
Network with professionals in the GCP and AI space. Attend meetups, webinars, or conferences focused on Google Cloud and AI technologies. Engaging with industry experts can provide insights into the latest trends and potentially lead to referrals.
✨Tip Number 2
Showcase your hands-on experience with relevant tools and frameworks. Create a portfolio of projects that demonstrate your skills in building LLM prototypes and agentic workflows. This practical evidence can set you apart during interviews.
✨Tip Number 3
Familiarise yourself with the specific technologies mentioned in the job description, such as LangChain, Pinecone, and PostgreSQL. Being able to discuss these tools confidently will show your genuine interest and preparedness for the role.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving scenarios related to AI and cloud deployment. Use platforms like LeetCode or HackerRank to sharpen your coding skills, especially in Python, which is crucial for this position.
We think you need these skills to ace GCP & AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud Platform and any relevant AI projects. Use specific examples that demonstrate your expertise in Python and LLM frameworks like LangChain or LangGraph.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and innovation. Mention your personal credibility with Google and how your previous experiences align with the responsibilities of the role. Be sure to convey your excitement about working in a fast-paced environment.
Showcase Relevant Projects: If you have worked on any projects involving generative AI or agentic systems, include them in your application. Describe your role, the technologies used, and the outcomes achieved. This will help demonstrate your hands-on experience.
Highlight Ethical AI Practices: Given the emphasis on responsible AI use, mention any experience you have with ethical AI practices or tools like Guardrails. This shows that you are not only technically skilled but also aware of the broader implications of AI technology.
How to prepare for a job interview at Anson McCade
✨Showcase Your GCP Expertise
Make sure to highlight your experience with Google Cloud Platform during the interview. Be prepared to discuss specific projects where you've successfully implemented GCP solutions, as this will demonstrate your credibility and hands-on knowledge.
✨Demonstrate Your AI Knowledge
Familiarise yourself with the latest trends in generative and agentic AI. Be ready to discuss frameworks like LangChain and LangGraph, and how you've used them in past projects. This shows that you're not just knowledgeable but also passionate about the field.
✨Prepare for Technical Questions
Expect technical questions related to LLMs, vector databases, and memory management strategies. Brush up on your Python skills and be ready to solve problems on the spot, as this will showcase your technical prowess and problem-solving abilities.
✨Emphasise Collaboration with Google Teams
Since personal credibility with Google is a key requirement, share experiences where you've collaborated with Google teams or partners. This will help establish your connections and show that you can work effectively in a collaborative environment.
