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- Tasks: Lead the development of innovative GenAI applications and collaborate on exciting Proofs of Concept.
- Company: Join a forward-thinking global consultancy at the forefront of Generative AI technology.
- Benefits: Enjoy hybrid remote work, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of AI-driven solutions with real-world impact.
- Qualifications: Experience in Fullstack Development, Python, and GenAI tools; managerial experience is a plus.
- Other info: Work in a rapidly growing team and make your mark in the evolving consultancy landscape.
The predicted salary is between 66000 - 88000 £ per year.
Are you a talented Fullstack Developer with a passion for Generative AI (GenAI) and looking for an exciting opportunity to grow within an innovative global consultancy? We’re seeking a skilled Fullstack GenAI Developer to join a dynamic, expanding team. If you have experience balancing Fullstack Development with GenAI expertise, this could be the perfect next step in your career!
Why Join Us? You will be joining a forward-thinking consultancy that offers incredible growth potential, with the chance to work on cutting-edge GenAI technologies. This is a fantastic opportunity to contribute to impactful Proofs of Concept (POC), engage with clients, and explore new business development avenues as you shape the future of AI-driven solutions.
What We’re Looking For:
- Lead/Managerial experience
- Python (FastAPI), Typescript (Express) or similar
- Frontend Development: React, Next.js, or Vite
- GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript)
- LLM platforms: OpenAI, Anthropic, Mistral, or Llama
- Cloud: AWS or Azure
- Containerisation
Bonus Points:
- Experience in building Proof of Concepts (POCs)
- Client engagement or business development experience
Your Responsibilities:
- Collaborate with the development team to build a comprehensive knowledge pool of GenAI technologies
- Develop innovative POCs for clients using a range of GenAI tools
- Design and build full-stack applications that push the boundaries of GenAI
- Research and experiment with emerging GenAI technologies to stay ahead of the curve
Why This is an Exciting Opportunity: As part of a rapidly growing GenAI team, you will be at the forefront of a technological revolution within the consultancy space, making your mark as the industry continues to scale throughout 2025. If you are ready to contribute to impactful GenAI projects and elevate your career, we’d love to hear from you!
GenAi Fullstack Developer employer: Stealth iT Consulting
Contact Detail:
Stealth iT Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAi Fullstack Developer
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Fullstack Development. Being well-versed in tools like LangChain and FastAPI will not only boost your confidence but also show us that you're genuinely passionate about the field.
✨Tip Number 2
Engage with our current projects or similar initiatives online. This could involve contributing to open-source projects or participating in relevant forums. Demonstrating your involvement in the community can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the GenAI space, especially those who have experience in consultancy roles. Attend meetups or webinars to connect with industry experts, as personal recommendations can significantly enhance your application.
✨Tip Number 4
Prepare to discuss your previous experiences with POCs and client engagement during interviews. We value practical examples that showcase your problem-solving skills and ability to work collaboratively in a team setting.
We think you need these skills to ace GenAi Fullstack Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Fullstack Development and Generative AI. Include specific projects or technologies you've worked with, such as Python, FastAPI, React, or any GenAI tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for Generative AI and your relevant experience. Mention how your skills align with the responsibilities outlined in the job description, particularly your ability to develop innovative Proofs of Concept.
Showcase Relevant Projects: If you have worked on any projects related to GenAI or Fullstack Development, be sure to include them in your application. Describe your role, the technologies used, and the impact of the project to demonstrate your expertise.
Highlight Soft Skills: In addition to technical skills, emphasise your soft skills such as collaboration, communication, and client engagement. These are crucial for the role, especially since it involves working with clients and contributing to business development.
How to prepare for a job interview at Stealth iT Consulting
✨Showcase Your GenAI Knowledge
Make sure to highlight your experience with Generative AI tools and platforms during the interview. Be prepared to discuss specific projects where you've implemented these technologies, as this will demonstrate your expertise and passion for the field.
✨Demonstrate Fullstack Development Skills
Since the role requires a balance of frontend and backend development, be ready to talk about your experience with frameworks like React or FastAPI. Consider preparing a small portfolio of your work that showcases your fullstack capabilities.
✨Engage in Client-Centric Conversations
Given the emphasis on client engagement and business development, think of examples where you've successfully collaborated with clients or contributed to business growth. This will show your ability to not only develop but also understand client needs.
✨Stay Updated on Emerging Technologies
Research the latest trends in GenAI and be prepared to discuss how you can apply them in practical scenarios. Showing that you're proactive about learning and experimenting with new technologies will set you apart from other candidates.
