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- Tasks: Lead the design and delivery of complex AI-native systems.
- 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 enterprise outcomes and enhance your engineering skills in a cutting-edge environment.
- Qualifications: 6-8 years in software/AI engineering with Python and multi-agent systems expertise.
- Other info: Join a dynamic team and make a real impact in the AI field.
The predicted salary is between 48000 - 72000 £ per year.
A private equity-backed firm is seeking a deep AI/Agentic Engineer to lead the design and delivery of complex AI-native engagements. The ideal candidate will have 6–8 years of experience in software/application or AI engineering and will be responsible for building production-grade AI systems.
Key skills include:
- Proficiency in Python
- Multi-agent systems
- Familiarity with cloud AI ecosystems
This role offers an opportunity to shape enterprise outcomes and enhance engineering capabilities.
Senior AI Engineer: Agentic & LLM Systems Lead employer: ConSol Partners
Contact Detail:
ConSol Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: Agentic & LLM Systems Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the hunt for a Senior AI Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with Python, multi-agent systems, and any cloud AI projects you've worked on. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your past projects and how they relate to the role. Practice common interview questions and think about how you can demonstrate your leadership in AI engineering.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Senior AI Engineer: Agentic & LLM Systems Lead
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and multi-agent systems in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences to what we’re looking for in a Senior AI Engineer.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at ConSol Partners
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and agentic systems. Be ready to discuss your experience with multi-agent systems and how you've applied Python in real-world projects. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about complex problems you've solved in previous roles and be ready to explain your thought process. This will demonstrate your ability to lead the design and delivery of AI-native engagements.
✨Familiarise Yourself with Cloud AI Ecosystems
Since familiarity with cloud AI ecosystems is key for this role, do your homework on the platforms relevant to the company. Be prepared to discuss how you've used these technologies in past projects and how they can enhance engineering capabilities.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's vision for AI and how they see this role shaping enterprise outcomes. This shows your genuine interest and helps you assess if the company is the right fit for you.
