At a Glance
- Tasks: Join a dynamic team to build LLM-powered features in a large-scale application.
- Company: Innovative tech company focused on AI and machine learning solutions.
- Benefits: Competitive salary, flexible work hours, and opportunities for professional growth.
- Other info: Exciting projects with excellent career advancement opportunities.
- Why this job: Make a real impact with cutting-edge technology and collaborate globally.
- Qualifications: 8+ years of Python API development and 2+ years with LLMs required.
The predicted salary is between 80000 - 98000 £ per year.
Role
Overview: The LLM Engineer will join an existing development team to build and ship LLM-powered features in a complex, production application used at scale.
This is a hands-on, full-stack role spanning backend services, APIs, and the LLM systems (retrieval, agents, evaluation) that power them.
You are expected to work as an agentic engineer”using AI coding tools and autonomous agents to write code, automate workflows, and optimize how the team delivers.
You will collaborate with global teams across multiple time zones and own features end to end.
In this role, you will: Bring senior-level Python and LLM engineering expertise to the team.
Execute both planning and hands‑on technical work independently.
Collaborate effectively with Product Owners and other stakeholders to solve complex problems.
Work cross‑functionally to deliver impactful solutions across teams.
Continuously develop your technical expertise and stay current with new technologies.
Bring curiosity and drive to expand your skills and knowledge.
Use a data‑driven approach to solve technical challenges and make informed decisions.
Apply systems‑level thinking that integrates data science and engineering principles.
Take full ownership of the features and projects you work on, delivering high‑quality solutions independently.
Must-Have
Skills: Hands‑on, daily use of AI‑assisted and agentic coding tools (e. g., Claude Code, Cursor, Git Hub 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 Fast API.
Grounding in NLP and machine learning as they relate to building LLM systems Strong experience working with key LLM models APIs (e. g.
Open AI, 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.
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.
Lang Chain, Llama Index) 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.
Additional Information Must have Skills : Python, Fast API, LLM Application Frameworks, Vector Databases and Embeddings, #J-18808-Ljbffr
Senior Staff Engineer (LLM) in London employer: Nagarro
Nagarro is an excellent employer for those passionate about AI and technology, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a supportive environment. Located in a vibrant tech hub, Nagarro provides unique advantages such as networking opportunities and a diverse team that encourages creative problem-solving.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Staff Engineer (LLM) in London
✨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 Nagarro 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 Nagarro.
✨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 Nagarro.
✨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 Nagarro 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 Senior Staff Engineer (LLM) in London
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 Nagarro.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Nagarro 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 Nagarro
✨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 Nagarro 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.
