At a Glance
- Tasks: Design and deploy innovative Generative AI solutions using cutting-edge technologies.
- Company: Join a growing tech organisation with a focus on AI innovation.
- Benefits: Competitive salary, hybrid work model, and professional development opportunities.
- Other info: Collaborative environment with excellent career growth potential.
- Why this job: Make a real impact in the AI field and work on exciting projects.
- Qualifications: 3-5 years in AI engineering or software development with strong Python skills.
The predicted salary is between 65250 - 79750 £ per year.
Generative AI Engineer
Salary
Location
London / Sheffield
Type
- Hybrid
- We are supporting a growing technology organisation that is hiring a
Generative AI Engineer to help design, build, and deploy production-ready Gen AI solutions.
This hybrid role can be based from London or Sheffield and is ideal for an AI Engineer, Machine Learning Engineer, or Software Engineer with 3 to 5 years of experience working across Generative AI, LLMs, Python, APIs, and cloud-based AI applications.
Generative AI Engineer Role Overview
As a Generative AI Engineer, you will work on the development of practical AI solutions that use large language models, retrieval-augmented generation, AI agents, automation, and intelligent search.
You will help move AI use cases from prototype into production, working closely with product teams, software engineers, data specialists, and business stakeholders.
The role will suit someone who is hands-on, commercially aware, and confident building AI-enabled applications that solve real business problems.
Key Responsibilities
- Design, develop, and deploy Generative AI solutions using LLMs and modern AI frameworks.
- Build applications using Python, APIs, prompt engineering, RAG, and AI agent workflows.
- Work with cloud platforms to support scalable AI deployment.
- Integrate Gen AI features into existing products, platforms, and business systems.
- Build and maintain data pipelines, vector search, embeddings, and knowledge retrieval workflows.
- Support experimentation, model evaluation, testing, monitoring, and optimisation.
- Work with software engineering teams to ensure AI solutions are reliable, secure, and production-ready.
- Collaborate with stakeholders to turn business requirements into practical AI solutions.
- Required Skills and Experience
- 3 to 5 years of experience in AI engineering, machine learning engineering, software engineering, or data-focused development.
- Hands-on experience with Generative AI, LLMs, RAG, prompt engineering, or AI agents.
- Strong Python development experience.
- Experience working with APIs and integrating AI services into applications.
- Understanding of embeddings, vector databases, semantic search, and retrieval workflows.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Good understanding of software engineering best practices, testing, version control, and deployment.
- Ability to work with technical and non-technical stakeholders.
Desirable Skills
- Experience with Open AI, Azure Open AI, Anthropic, Lang Chain, Llama Index, Hugging Face, or similar tools.
- Experience deploying AI models or AI applications into production.
- Knowledge of MLOps, CI/CD, monitoring, and model evaluation.
- Experience with containerisation tools such as Docker or Kubernetes.
- Understanding of AI governance, responsible AI, data privacy, and security considerations.
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Generative AI Engineer employer: Software Search
Join a forward-thinking technology organisation that values innovation and collaboration, offering a dynamic hybrid work environment in London or Sheffield. As a Generative AI Engineer, you'll have the opportunity to work on cutting-edge AI solutions while benefiting from a supportive culture that prioritises employee growth and development. With competitive salaries and a focus on meaningful projects, this role is perfect for those looking to make a real impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Software Search or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Software Search.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Software Search.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Software Search that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Generative AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Software Search.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Software Search and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Software Search
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Software Search uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
