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: Proven 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 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 compensation and the opportunity to work on impactful projects, you'll be part of a team dedicated to delivering scalable AI solutions that make a real difference.
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We think this is how you could land AI Engineer - LLM & Agentic Systems
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We think you need these skills to ace AI Engineer - LLM & Agentic Systems
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
