Software Engineer (AI+Fullstack) in London

Software Engineer (AI+Fullstack) in London

London Full-Time 60000 - 70000 £ / year (est.) Home office (partial)
83zero Limited

At a Glance

  • Tasks: Develop AI-powered applications and collaborate on innovative projects with cutting-edge technologies.
  • Company: Join a dynamic tech company focused on AI solutions for enterprise clients.
  • Benefits: Enjoy a competitive salary, bonuses, healthcare options, and hybrid work flexibility.
  • Other info: Fast-paced environment with excellent opportunities for career growth and skill development.
  • Why this job: Make a real impact by building intelligent applications that solve business challenges.
  • Qualifications: Experience in full stack development and familiarity with GenAI frameworks required.

The predicted salary is between 60000 - 70000 £ per year.

Salary: £60,000 - £70,000 pa + £4,000 Bonus plus benefits, perks and healthcare options

Base locations: London, Manchester, Newcastle or Glasgow

Job Type: Permanent | Hybrid (2 days per week) | Occasional travel to client site

Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices.

Key Skills:

  • AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama.
  • Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI.
  • Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD.
  • Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector.
  • Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab.

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're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV.

Software Engineer (AI+Fullstack) in London employer: 83zero Limited

Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the development of cutting-edge AI solutions. With competitive salaries, a hybrid working model, and ample opportunities for professional growth, you'll thrive in an environment that encourages exploration of emerging technologies while enjoying comprehensive benefits and a supportive team atmosphere across our vibrant locations in London, Manchester, Newcastle, or Glasgow.

83zero Limited

Contact Details:

83zero Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer (AI+Fullstack) in London

Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online communities. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and full-stack development. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect with us directly.

We think you need these skills to ace Software Engineer (AI+Fullstack) in London

Frontend Development
Backend Development
Full Stack Engineering
Python
TypeScript
React
APIs

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI, full stack development, and any relevant frameworks to catch our eye!

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about this role and how your background makes you a great fit. Share specific examples of your work with GenAI or full stack projects to really stand out.

Showcase Your Projects:If you've worked on any interesting projects, especially those involving AI or full stack development, make sure to mention them! Links to GitHub or live demos can really help us see your skills in action.

Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!

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, TypeScript, React, and any GenAI frameworks like LangChain or OpenAI. Being able to discuss your experience with these tools confidently will show that you're a strong fit for the role.

Prepare for Technical Questions

Expect to face technical questions that assess your problem-solving abilities and coding skills. Practice coding challenges related to full-stack development and AI applications. Websites like LeetCode or HackerRank can be great resources to sharpen your skills before the interview.

Showcase Your Projects

Bring examples of your previous work, especially projects involving AI or full-stack development. Be ready to discuss the challenges you faced, how you overcame them, and the impact your solutions had. This will demonstrate your hands-on experience and ability to deliver results.

Ask Insightful Questions

Prepare thoughtful questions about the company’s approach to AI and their tech stack. Inquire about the team dynamics, ongoing projects, and how they measure success. This not only shows your interest but also helps you gauge if the company is the right fit for you.