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- Tasks: Build and deploy full-stack AI solutions on Google Cloud Platform.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact in the exciting field of Generative AI with cutting-edge technologies.
- Qualifications: Experience in Python, React, and GCP; passion for AI development.
- Other info: Collaborative environment with a focus on agile development and continuous learning.
The predicted salary is between 28800 - 48000 £ per year.
Job Description
We are seeking a Generative AI Engineer proficient in building and deploying full-stack AI solutions on the Google Cloud Platform. The ideal candidate will possess deep expertise in Python, utilizing frameworks such as FastAPI or Flask to create robust Back End services, and libraries like LangChain or LlamaIndex to construct sophisticated RAG and agent-based systems. You must have hands-on experience with GCP, particularly Vertex AI (for leveraging Gemini models and Vector Search), Cloud Run for serverless deployment, and BigQuery for data management.
On the frontend, you will be responsible for developing intuitive user interfaces using React, ensuring seamless integration with the Back End APIs. A strong understanding of containerization with Docker and implementing CI/CD pipelines within the GCP ecosystem is essential for this role.
Responsibilities
- Develop and deploy Back End services using Python (FastAPI or Flask)
- Build scalable GenAI systems including RAG, GraphRAG, and Agentic AI using LangChain or LlamaIndex
- Utilize Vertex AI (Model Garden, Gemini API, Vector Search) for model orchestration and intelligent search
- Implement serverless architecture with Cloud Run and manage data workflows via BigQuery
- Design and build responsive Front End applications using React
- Containerize applications with Docker and manage CI/CD pipelines using Cloud Build and Git
- Collaborate using VS Code, Jira, Playwright, and pytest for agile development and testing
Tools
- Vertex AI (Model Garden, Gemini API, Vector Search)
- Cloud Run, Cloud Functions
- BigQuery
- Docker, Git
- CI/CD pipelines (eg, Cloud Build)
- VS Code, Jira, Playwright, pytest
Skills
- Full-stack development (Python, React)
- Scalable Generative AI solutions
- RAG, GraphRAG, Agentic AI
Languages
- Python: LangChain, LlamaIndex, FastAPI/Flask
- JavaScript: React
Educational Background
- BSc in Computer Science, Statistics, Engineering, or related field
- Advanced certifications in AI/ML, cloud computing, or data engineering are advantageous
Generative AI Engineer (Full-Stack, GCP) employer: Skillfinder International
Contact Detail:
Skillfinder International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer (Full-Stack, GCP)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential employers on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, FastAPI, or React. This gives you a chance to demonstrate your expertise in building full-stack AI solutions.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of GCP, Vertex AI, and containerization with Docker. Practise coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Generative AI Engineer (Full-Stack, GCP)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, FastAPI or Flask, and GCP. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about generative AI and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any full-stack AI solutions or have experience with tools like LangChain or Docker, make sure to mention them. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Skillfinder International
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on Python frameworks like FastAPI and Flask, and be ready to discuss how you've used them in past projects. Familiarity with GCP services, especially Vertex AI and Cloud Run, will definitely give you an edge.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built full-stack AI solutions. Highlight your experience with RAG systems using LangChain or LlamaIndex, and be ready to explain your thought process and the challenges you faced. Real-world examples can really impress interviewers!
✨Demonstrate Frontend Skills
Since you'll be developing user interfaces with React, it’s crucial to showcase your frontend skills. Bring along a portfolio or examples of your work that demonstrate your ability to create intuitive and responsive applications. Be prepared to discuss how you ensure seamless integration with backend APIs.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI, their tech stack, or how they handle CI/CD pipelines. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.