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- Tasks: Build and maintain cutting-edge AI applications using innovative technologies.
- Company: Join a successful tech company with £40 million in funding and a collaborative culture.
- Benefits: Earn up to £90k, enjoy remote work, flexible hours, and stock options.
- Other info: Diverse workplace with excellent career growth opportunities and a focus on responsible AI.
- Why this job: Make a real impact in AI while working on exciting projects with top-tier clients.
- Qualifications: Degree in Computer Science, strong Python skills, and experience with LLM frameworks.
The predicted salary is between 90000 - 90000 £ per year.
Do you want to work on cutting edge AI technology being used in the real world? You could be progressing your career as an Agentic AI Engineer at a successful and growing technology company that has recently received £40 million of series B funding. The product enables business users to capture data via integrated mobile services utilising video analytics and speech recognition to analyse and categorise information within the workflows of large field workforces (surveyors, field engineers, health-and-safety, property sales, etc.); customers are typically large multinationals: utilities, telecoms, manufacturing and facilities management companies.
As an Agentic AI Engineer you'll join a small cross functional team focused on building the GenAI capabilities at the application layer, orchestrating decision making rather than training models. Typical use cases include video data extraction to analyse equipment details and observed health and safety issues to customer recommendations, for example triaging and dispatching personnel.
Responsibilities will encompass:
- Building and maintaining production LLM applications (prompt engineering, context design, guardrail development)
- Development and optimisation of inference pipelines for accuracy, reliability and enterprise grade consistency
- Running evaluation workflows using automated tools (DeepEval, Langfuse) and human-in-the-loop review
- Supporting RAG and retrieval based features including vector databases and document processing pipelines
Collaborating with product and engineering teams you’ll help to define use cases, set KPIs and ship AI features whilst providing subject matter expertise to both technical and non-technical stakeholders on GenAI capabilities and responsible adoption.
Location / WFH: You can work from home / remotely from anywhere in the UK. Please note you must be in the UK and able to work without requiring sponsorship.
About you:
- You are degree educated in Computer Science or similar STEM discipline, having achieved a 2.1 or above from a top tier university (e.g. Russell Group)
- You have strong Python skills
- You have experience with LLM orchestration frameworks: LangChain, LangGraph, CrewAi, AgnosAI
- You have experience with vector databases: Pinecone, Weaviate and retrieval optimisation: OpenSearch, FAISS, Chroma
- You have LLM evaluation experience: DeepEval, Langfuse (or similar)
- You have a strong understanding of responsible AI, i.e. bias detection, model transparency
- You're collaborative and pragmatic with great communication skills
What's in it for you:
- Salary to £90k
- Remote working plus flexible, family friendly working hours
- Stock ownership plan
- Pension
Apply now to find out more about this Agentic AI Engineer opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Agentic AI Engineer employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLM orchestration or AI applications. This gives you a chance to demonstrate your expertise and passion for the role, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI engineering. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to cutting-edge AI technology.
We think you need these skills to ace Agentic AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Agentic AI Engineer role. Highlight your Python skills and experience with LLM orchestration frameworks like LangChain and LangGraph. We want to see how your background fits perfectly with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills align with our mission at StudySmarter. Don't forget to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Projects: If you've worked on any cool projects related to AI, make sure to include them in your application. We love seeing practical examples of your work, especially if they involve video analytics or speech recognition. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at StudySmarter!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially LangChain, LangGraph, and the various vector databases. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using AI technologies. Think about scenarios where you’ve optimised inference pipelines or implemented LLM applications, and be ready to explain your thought process.
✨Understand Responsible AI
Since responsible AI is a key focus, be prepared to talk about bias detection and model transparency. Have examples ready that demonstrate your understanding of these concepts and how you've applied them in your work.
✨Communicate Effectively
As collaboration is crucial in this role, practice explaining technical concepts in simple terms. Be ready to engage with both technical and non-technical stakeholders, showcasing your ability to bridge the gap between different teams.