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 career growth opportunities 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 Manchester employer: 83zero Ltd
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 opportunities for professional growth in vibrant cities like London, Manchester, Newcastle, or Glasgow, you'll thrive in an environment that encourages exploration of emerging technologies while enjoying comprehensive benefits and a supportive team atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (AI+Fullstack) in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with 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 noticed. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to follow up after applying!
We think you need these skills to ace Software Engineer (AI+Fullstack) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in 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 AI and software engineering. Share specific examples of projects you've worked on that align with what we do at StudySmarter.
Showcase Your Projects:If you've got any personal or professional projects that demonstrate your skills in GenAI or Full Stack development, include them! We love seeing real-world applications of your work.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures you’re considered for the role!
How to prepare for a job interview at 83zero Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the key technologies mentioned in the job description, like Python, TypeScript, and React. Brush up on your knowledge of GenAI frameworks too, as they’ll likely come up during technical discussions.
✨Prepare for Problem-Solving Questions
Expect to tackle some coding challenges or problem-solving scenarios related to AI and full-stack development. Practise common algorithms and data structures, and be ready to explain your thought process clearly.
✨Showcase Your Projects
Bring examples of your previous work, especially any projects involving Generative AI or full-stack applications. Be prepared to discuss the challenges you faced and how you overcame them, as this demonstrates your hands-on experience.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the company’s approach to AI, and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
