At a Glance
- Tasks: Design and build AI agents to solve complex business problems using LLMs.
- Company: Global B2B information and professional services leader expanding AI capabilities.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for career growth.
- Other info: Mentorship opportunities and a chance to work on scalable AI solutions.
- Why this job: Join a dynamic team and make a real impact with cutting-edge AI technology.
- Qualifications: Experience in LLM systems, strong Python skills, and a product mindset.
The predicted salary is between 70000 - 90000 £ per year.
Salary: £? - ? per year
Requirements
- Proven production‑grade experience shipping LLM‑powered systems with clear, real‑world examples.
- Hands‑on experience building AI agents, including tool use, orchestration, multi‑step reasoning, and effective RAG systems.
- Strong Python skills and solid machine learning foundations, with the ability to write clean, production‑grade code.
- Strong understanding of system design principles and LLM/ML trade‑offs.
- Experience deploying solutions across AWS, GCP, or Azure using modern engineering practices.
- A product mindset focused on impact, adoption, latency, cost, and usability.
- Likely to hold a Masters degree or higher in a mathematical, scientific, or computer science discipline.
- Senior and lead‑level candidates should demonstrate strong ownership, mentoring ability, and end‑to‑end project delivery experience.
- Background in SaaS, B2B AI products, or large‑scale AI transformation is highly desirable.
Responsibilities
- Design and build AI agents and agentic workflows using LLMs, RAG, reasoning, memory, and tool orchestration to solve complex business problems.
- Own delivery end‑to‑end from initial exploration through production deployment, integration, and ongoing iteration.
- Work with MCP‑style architectures such as FastMCP or FastAPI, and frameworks like LangChain or LangGraph, to build reliable and scalable systems.
- Integrate AI into products, APIs, and core business workflows with attention to latency, cost, and practical usability.
- Collaborate closely with engineering teams to ensure systems are observable, maintainable, and built to last.
- Drive complete workflows and projects from brief through to delivery at senior and lead level.
- Mentor others naturally and contribute to raising the technical standard across the team.
- Build serious AI systems that operate at genuine scale within a global business.
Technologies
- AI
- AWS
- Azure
- FastAPI
- GCP
- LLM
- Machine Learning
- Python
- Cloud
We are a globally established B2B information and professional services business operating across multiple high‑value industry sectors. We already have established data science and machine learning engineering teams delivering in production, and we are expanding our AI capability significantly across our global organisation. This is a London‑based hybrid contract role outside IR35, offering circa £500–£675 per day, with opportunities for mid‑level, senior, and lead AI Engineers focused on LLMs, agentic systems, and machine learning. We are looking for people who ship production systems, work collaboratively, and help us deliver serious AI solutions at scale.
AI Engineer - LLM & Agentic Systems in City of Westminster employer: Sivara GmbH
Join a globally established B2B information and professional services business in London, where innovation meets collaboration. We offer a dynamic work culture that fosters employee growth through mentorship and hands-on experience with cutting-edge AI technologies. With competitive pay and a hybrid working model, you'll have the opportunity to make a significant impact while working alongside talented professionals in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - LLM & Agentic Systems in City of Westminster
✨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 Sivara GmbH 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 Sivara GmbH.
✨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 Sivara GmbH.
✨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 Sivara GmbH 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 AI Engineer - LLM & Agentic Systems in City of Westminster
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 Sivara GmbH.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Sivara GmbH 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 Sivara GmbH
✨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 Sivara GmbH 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.
