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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 their interactions.
- 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 AI and GCP space. Attend meetups, webinars, or conferences where you can connect with people who work at Google or have experience with GCP. This can help you gain insights into the company culture and potentially get 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
Stay updated on the latest trends and advancements in AI and GCP. Follow industry leaders on social media, read research papers, and participate in online forums. This knowledge will not only help you in interviews but also show your passion for the field.
✨Tip Number 4
Prepare to discuss ethical AI practices and responsible use of technology. Given the focus on responsible AI in the job description, being able to articulate your understanding of these issues will demonstrate your alignment with the company's values.
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 keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and innovation. Mention your personal credibility with Google and any collaborative experiences you've had with their teams. Be sure to connect your skills to the key responsibilities outlined in the job description.
Showcase Relevant Projects: Include examples of past projects that align with the role's requirements, such as developing LLM prototypes or implementing retrieval-augmented generation pipelines. Highlight your hands-on experience with the specified frameworks and tools.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
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. Discuss specific projects where you've successfully implemented GCP solutions, as this will demonstrate your credibility and hands-on knowledge.
✨Demonstrate Your AI Knowledge
Prepare to discuss your familiarity with generative and agentic AI frameworks like LangChain and CrewAI. Be ready to explain how you've used these tools in past projects, focusing on the outcomes and innovations you achieved.
✨Prepare for Technical Questions
Expect technical questions related to LLMs, vector databases, and memory management strategies. Brush up on these topics and be prepared to solve problems or provide examples of how you've tackled similar challenges in your previous roles.
✨Emphasise Collaboration with Google
Since personal credibility with Google is crucial, share any experiences you've had working directly with their teams or as a Google Premier Cloud Partner. This will help establish your connection and reliability in the eyes of the interviewers.