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- Tasks: Create innovative GenAI solutions and collaborate on exciting projects with top clients.
- Company: Join a forward-thinking tech company that values creativity and innovation.
- Benefits: Attractive salary, bonuses, healthcare options, and hybrid work flexibility.
- Why this job: Make a real impact by solving real-world challenges with cutting-edge technology.
- Qualifications: Experience in software development, particularly with GenAI frameworks and full stack applications.
- Other info: Dynamic work environment with opportunities for growth and skill enhancement.
The predicted salary is between 80000 - 88500 £ per year.
We are looking for a GenAI Full Stack Engineer who is passionate about solving real-world challenges through technology. You will work closely with senior stakeholders both internally and within key clients to create GenAI strategies that translate business issues into relevant technical solutions and competitive propositions that are scalable, secure, and sustainable.
Your Role:
- Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents.
- Scale existing POCs to production-ready solutions for customer use.
- Design and develop Full Stack applications for both GenAI and non-GenAI projects.
- Support the development of infrastructure to enable robust end-to-end solutions.
- Grow your skills by exploring and experimenting with emerging technologies, including GenAI.
Your skills and experience:
- Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent.
- Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite.
- GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript).
- LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama.
- Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment.
- Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose.
- Infrastructure as Code (IaC): Exposure to tools like Terraform.
- Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar.
- CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins.
- Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB, Qdrant etc.
- NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred).
- SQL: Experience working with SQL databases like PostgreSQL.
- Proficient in Git and version control platforms like GitHub, GitLab, etc.
To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you are ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you!
Generative AI Engineer employer: 83zero Limited
Contact Detail:
83zero Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to GenAI and Full Stack development. This gives you a chance to demonstrate your expertise and passion beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios relevant to the role. Think about how your experience with tools like Docker, AWS, and LLMs can solve real-world problems for clients.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to exciting projects.
We think you need these skills to ace Generative AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your backend and frontend development experience, especially with the technologies we use like Python, TypeScript, and React.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about Generative AI and how you can solve real-world challenges. Share specific examples of projects you've worked on that align with our mission at StudySmarter.
Showcase Your Projects: If you've developed any proof-of-concepts or applications, make sure to include them in your application. We love seeing practical examples of your work, especially those involving GenAI frameworks and cloud platforms.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at 83zero Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your skills with Python, FastAPI, TypeScript, and React. Be ready to discuss how you've used these tools in past projects, especially in relation to Generative AI.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world challenges using technology. Think about specific instances where you developed proof-of-concepts or scaled solutions. This will demonstrate your ability to translate business issues into technical solutions.
✨Familiarise Yourself with GenAI Frameworks
Dive into the frameworks listed in the job description, like LangChain and Vercel AI. Being able to discuss your experience or understanding of these tools will show your enthusiasm for the role and your readiness to contribute from day one.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to Generative AI and their current projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals. Plus, it makes for a great conversation starter!
