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- Tasks: Develop cutting-edge GenAI applications and support POCs into scalable solutions.
- Company: Join a leading digital transformation consultancy with top-tier clients across various sectors.
- Benefits: Enjoy mostly remote work with occasional travel, competitive salary, and exposure to innovative projects.
- Why this job: Work on exciting GenAI projects that impact major UK industries while collaborating with a dynamic team.
- 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 LangGraph. 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 these areas.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your familiarity with Generative AI and how your background aligns with the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on any projects involving microservices, large language models, or full-stack applications, be sure to include these in your application. Provide links to your GitHub or portfolio if possible.
Highlight Clearance Eligibility: Since the role requires SC Clearance eligibility, make sure to mention this clearly in your application. This will help the hiring team understand your suitability for the position right away.
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 GenAI frameworks mentioned in the job description, such as LangChain and Vercel AI. Being able to discuss these frameworks and how you've used them or similar technologies will show your enthusiasm and readiness for the role.
✨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 GenAI application 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 with others in past projects. Highlight your communication skills and adaptability in a team setting.
