At a Glance
- Tasks: Use AI tools to code, automate workflows, and optimise engineering processes.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and creativity.
- Why this job: Be part of groundbreaking projects that shape the future of technology.
- Qualifications: 2+ years in LLM development and 8+ years in Python API development.
The predicted salary is between 70000 - 90000 £ per year.
Responsibilities and Qualifications
- Hands‑on, daily use of AI‑assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, autonomous coding agents) to write and refactor code, automate workflows, and optimize engineering processes.
- Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI.
- Grounding in NLP and machine learning as they relate to building LLM systems.
- Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic).
- Experience building, deploying, and securing MCP servers at scale.
- Understanding of multi‑agent systems and their applications in complex problem‑solving scenarios.
- Designing and implementing RAG systems end to end: vector databases, semantic search, retrieval quality, and chunking strategy.
- Experience with prompt writing for various use cases.
- Experience with generative solutions released to prod, at scale, beyond POCs.
- Proficiency with server‑side events, event‑driven architectures, and messaging systems.
- Strong critical thinking and systems thinking skills, with experience debugging, optimizing, and making sound engineering decisions across complex backend systems, not just solving isolated problems.
- Solid understanding of security best practices for backend systems, including authentication and data protection.
Other Qualifications
- 2+ years of experience developing and experimenting with LLMs.
- 8+ years of experience developing APIs with Python.
Nice‑to‑Have Skills
- Experience with LLM guardrails.
- Experience with LLM Frameworks (e.g. LangChain, LlamaIndex).
- Experience with LLM monitoring and observability.
- Experience developing AI/ML technologies within large and business critical applications.
- Building evaluation into LLM systems: eval harnesses, regression suites, LLM‑as‑judge, and offline/online quality metrics.
LLM Engineer employer: Thrive IT Systems
As a leading innovator in AI technology, our company offers LLM Engineers a dynamic work environment where creativity and technical expertise thrive. Located in a vibrant tech hub, we provide competitive benefits, a collaborative culture that fosters continuous learning, and ample opportunities for professional growth, ensuring that our employees are at the forefront of cutting-edge advancements in machine learning and natural language processing.
StudySmarter Expert Advice🤫
We think this is how you could land LLM 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 Thrive IT Systems 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 Thrive IT Systems.
✨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 Thrive IT Systems.
✨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 Thrive IT Systems 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 LLM 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 Thrive IT Systems.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Thrive IT Systems 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 Thrive IT Systems
✨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 Thrive IT Systems 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.
