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- Tasks: Develop cutting-edge GenAI applications and support their transition to production-ready solutions.
- Company: Join a leading digital transformation consultancy working with top UK companies across various sectors.
- Benefits: Enjoy mostly remote work with occasional travel, competitive salary, and exposure to innovative projects.
- Why this job: Be part of a dynamic team shaping the future of AI technology in diverse industries.
- Qualifications: Proficient in Python (FastAPI), React, and familiar with GenAI frameworks and large language models.
- Other info: Eligible for SC Clearance required; no visa sponsorship available.
The predicted salary is between 39600 - 66000 £ per year.
Stealth IT have partnered up with a world leading digital transformation consultancy to hire a GenAI Full Stack Developer. We have a top end budget of £55k and the role will be mostly remote with very occasional office travel to client sites (likely to be 1/2x per month) which may be in London, Manchester, Newcastle, or Glasgow. We are, unfortunately, unable to consider applicants who require visa sponsorship for this position.
This is an excellent opportunity to work on developing cutting edge GenAI applications, giving you exposure to working on projects with the biggest companies in the UK across various sectors including Public Sector, Retail, Telecoms, Utilities, Energy, Manufacturing, Automotive, and more.
Role Overview:
- Work closely with the team to build and evolve Generative AI (GenAI) proof-of-concepts (POCs) for clients using techniques like Retrieval-Augmented Generation (RAG) and intelligent agents.
- Support the transition of these POCs into scalable, production-ready solutions.
- Contribute to the design and development of full-stack applications for both GenAI and traditional projects, while helping establish the infrastructure for reliable end-to-end deployments.
Candidate Profile:
- Eligible for SC Clearance
- Proficient in building microservices using Python (FastAPI) or TypeScript (Express or similar).
- Experienced with React and TypeScript, using modern frameworks like Next.js or Vite.
- Familiarity with GenAI frameworks such as LangChain, LangGraph, CrewAI, or Vercel AI.
- Hands-on experience with large language models (LLMs) like OpenAI, Anthropic, Mistral, or LLaMA, and platforms like Ollama.
If you feel like you tick the boxes, and would like to find out more please apply for the role!
Software Engineer - GenAI - Python - FastAPI - React - Full Stack employer: Stealth iT Consulting
Contact Detail:
Stealth iT Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - GenAI - Python - FastAPI - React - Full Stack
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and the specific frameworks mentioned in the job description, like LangChain and Vercel AI. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with Python and FastAPI by working on personal projects or contributing to open-source initiatives. Having tangible examples of your work can set you apart from other candidates and demonstrate your hands-on skills.
✨Tip Number 3
Network with professionals in the GenAI field through platforms like LinkedIn or relevant tech meetups. Building connections can provide insights into the company culture and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on microservices and full-stack development. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with the types of questions you might face.
We think you need these skills to ace Software Engineer - GenAI - Python - FastAPI - React - Full Stack
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, FastAPI, React, and any relevant GenAI frameworks. Use specific examples of projects you've worked on that demonstrate your skills in building microservices and full-stack applications.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your familiarity with Generative AI technologies and how your background aligns with the job requirements. Be sure to include why you're excited about working on cutting-edge GenAI applications.
Showcase Relevant Projects: If you have worked on any projects related to GenAI or full-stack development, be sure to include them in your application. Describe your role, the technologies used, and the impact of the project. This will help demonstrate your hands-on experience with large language models and modern frameworks.
Proofread Your Application: Before submitting your application, take the time to proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Stealth iT Consulting
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, FastAPI, and React in detail. Bring examples of projects you've worked on that demonstrate your proficiency in building microservices and full-stack applications.
✨Familiarise Yourself with GenAI Frameworks
Research the specific GenAI frameworks mentioned in the job description, such as LangChain and CrewAI. Being able to discuss these frameworks and how you've used them will show your genuine interest and expertise in the field.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to work on proof-of-concepts. Think about how you would approach building a scalable solution from a POC and be ready to explain your thought process.
✨Demonstrate Team Collaboration
Since the role involves working closely with a team, be ready to share examples of how you've successfully collaborated on projects in the past. Highlight your communication skills and ability to contribute to a team environment.
