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- Tasks: Lead the design and delivery of complex AI-native systems and applications.
- Company: Private equity-backed firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI while working on cutting-edge projects.
- Qualifications: Experience in AI systems, LLM applications, and multi-agent architectures.
- Other info: Join a dynamic team with a focus on long-term engineering excellence.
The predicted salary is between 43200 - 72000 £ per year.
Our client is a private equity backed firm looking for a Deep AI/Agentic Engineer to lead the design and delivery of the organisation's complex AI-native engagements, from agentic systems to semantic layers. This role combines hands-on technical leadership with client trust, shaping both enterprise outcomes and the firm’s long-term engineering capability.
Responsibilities:
- Design and build production-grade AI systems across:
- LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops.
- Multi-agent architectures, including planning, delegation, safety constraints, and monitoring.
Deep AI/Agentic Engineer employer: ConSol Partners
Contact Detail:
ConSol Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deep AI/Agentic Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work at firms you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLM applications or multi-agent architectures. This is your chance to shine and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of orchestration patterns and prompt frameworks. We all know that confidence is key, so practice explaining your thought process clearly.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Deep AI/Agentic Engineer
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your technical skills and experience with AI systems. We want to see how you've tackled complex projects in the past, so don’t hold back!
Tailor Your Application: Make your application stand out by tailoring it to the job description. Use keywords from the posting, like 'agentic systems' and 'multi-agent architectures', to show that you understand what we're looking for.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and how it relates to the role. No fluff, just the good stuff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at ConSol Partners
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest trends and technologies in AI, especially around LLM applications and multi-agent architectures. Brush up on your knowledge of orchestration patterns and prompt frameworks, as these will likely come up during technical discussions.
✨Showcase Your Hands-On Experience
Prepare to discuss specific projects where you've designed and built production-grade AI systems. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your technical leadership and problem-solving skills.
✨Understand the Client's Needs
Research the firm and their clients to understand their business model and how AI can enhance their operations. Tailor your responses to show how your expertise can directly contribute to their enterprise outcomes and long-term engineering capabilities.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world scenarios, such as designing a multi-agent system with safety constraints. Practice articulating your thought process and decision-making strategies clearly, as this will showcase your analytical skills and client trust-building abilities.
