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- Tasks: Create innovative GenAI solutions and collaborate with clients to tackle real-world challenges.
- Company: Dynamic tech firm focused on cutting-edge AI technologies.
- Benefits: Attractive salary, bonus, hybrid work, and comprehensive healthcare options.
- Why this job: Join a team shaping the future of technology with impactful GenAI projects.
- Qualifications: Experience in full stack development and familiarity with GenAI frameworks.
- Other info: Exciting opportunities for growth and skill development in a fast-paced environment.
The predicted salary is between 80000 - 88000 £ per year.
Salary: £80,000 - £88,000 pa + £8,000 Bonus plus benefits, perks and healthcare options
Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site
Base Locations: London, Manchester, Newcastle, Glasgow
Overview: 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.
Lead GenAI Full Stack Engineer / Managing Consultant in City of London employer: 83zero Limited
Contact Detail:
83zero Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead GenAI Full Stack Engineer / Managing Consultant in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with GenAI. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Full Stack development and GenAI. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to microservices, React, and cloud platforms. Practise explaining your thought process when solving problems; it’s all about demonstrating your approach!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead GenAI Full Stack Engineer / Managing Consultant in City of London
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 technologies like Python, TypeScript, and React. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about GenAI and how your background aligns with our mission at StudySmarter. Don’t forget to mention any relevant projects or experiences that showcase your problem-solving skills.
Showcase Your Projects: If you've worked on any GenAI proof-of-concepts or full stack applications, make sure to include them in your application. We love seeing real-world examples of your work, so don’t hold back on sharing links or descriptions of your projects!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
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 GenAI.
✨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
Get comfortable with tools like LangChain and LangGraph. If you’ve worked with LLMs, be prepared to discuss your experience and how it relates to the role. Showing that you’re proactive in learning about emerging technologies can set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions for your interviewers about their current projects or future plans in GenAI. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
