Generative AI Engineer

Generative AI Engineer

Full-Time 50000 - 90000 £ / year (est.) Home office (partial)
Opus Recruitment Solutions

At a Glance

  • Tasks: Build and deploy real-world AI applications that make a difference.
  • Company: Fast-growing GenAI consultancy with a focus on innovation.
  • Benefits: Competitive salary, strong career progression, and hybrid work options.
  • Other info: Join a dynamic team in a high-growth environment.
  • Why this job: Directly impact clients while working with cutting-edge AI technology.
  • Qualifications: Strong Python skills and experience with LLM APIs required.

The predicted salary is between 50000 - 90000 £ per year.

I’m working with a fast-growing GenAI business delivering production grade AI systems for enterprise clients. This is a hands-on role focused on building and deploying real-world LLM applications, not just prototypes.

What you’ll be working on:

  • Agentic AI systems and enterprise assistants
  • LLM-powered document processing & information extraction
  • Production APIs and backend systems (FastAPI, REST)
  • Scalable cloud infrastructure (AWS / Azure)
  • Containerised deployments (Docker, Kubernetes)
  • Data pipelines, orchestration, and real-time systems

Why this role?

  • Work on genuinely production-ready AI systems
  • Direct impact on clients
  • Clear path into leading projects and teams
  • Fast-scaling, high-growth environment working with the latest GenAI tech

Comp: £50k–£90k + strong progression

Do you have?

  • Strong Python experience
  • Experience with OpenAI / LLM APIs in production
  • Cloud exposure (AWS or Azure)
  • Experience building scalable systems
  • Comfortable working client-facing

If you’re currently building things similar to this or want to, it’s worth a conversation. Unfortunately, they do not provide sponsorship.

Generative AI Engineer employer: Opus Recruitment Solutions

Join a dynamic and innovative GenAI consultancy that prioritises employee growth and development in the heart of London or Manchester. With a strong focus on building production-grade AI systems, you'll enjoy a collaborative work culture that encourages creativity and direct impact on client projects, alongside competitive compensation and clear pathways for career advancement. Embrace the opportunity to work with cutting-edge technology in a fast-paced environment that values your contributions and fosters professional growth.

Opus Recruitment Solutions

Contact Details:

Opus Recruitment Solutions Recruitment Team

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 Opus Recruitment Solutions 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 Opus Recruitment Solutions.

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 Opus Recruitment Solutions.

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 Opus Recruitment Solutions 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

Python
OpenAI APIs
LLM Applications
FastAPI
REST
AWS
Azure

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 Opus Recruitment Solutions.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Opus Recruitment Solutions 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 Opus Recruitment Solutions

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 Opus Recruitment Solutions 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.