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- Tasks: Design and develop agentic AI systems using Python and cutting-edge frameworks.
- Company: Leading consultancy in AI solutions with a focus on innovation.
- Benefits: Competitive pay up to £700 per day and collaboration with top professionals.
- Why this job: Join a dynamic team and shape the future of AI in production environments.
- Qualifications: Strong Python skills and experience with FastAPI and LangGraph required.
- Other info: Contract position with exciting opportunities in the financial sector.
The predicted salary is between 50000 - 70000 £ per year.
A leading consultancy in AI solutions is seeking a Mid-Senior AI Engineer to develop agentic AI systems. The role focuses on designing workflows, evaluating frameworks, and integrating LLM-powered services within production environments.
Candidates should possess strong Python engineering skills and experience with frameworks like FastAPI and LangGraph.
This contract position offers a competitive salary of up to £700 per day and provides the opportunity to collaborate with top professionals in the financial sector.
Agentic AI Engineer, Production Systems (Python) in London employer: AI Connect | Data & AI Delivery Partner
Contact Detail:
AI Connect | Data & AI Delivery Partner Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Engineer, Production Systems (Python) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving FastAPI and LangGraph. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. We recommend practising coding challenges and discussing your past projects to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace Agentic AI Engineer, Production Systems (Python) in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python engineering skills in your application. We want to see how you've used Python in past projects, especially if you've worked with frameworks like FastAPI and LangGraph.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Agentic AI Engineer role. We love seeing how your experience aligns with what we’re looking for.
Be Clear About Your Experience: When detailing your experience, be clear about your previous roles and responsibilities. We want to understand how you've designed workflows and integrated LLM-powered services in production environments.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at AI Connect | Data & AI Delivery Partner
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python, especially in relation to developing agentic AI systems. Prepare to showcase specific projects where you've used Python effectively.
✨Familiarise Yourself with FastAPI and LangGraph
Since the role requires knowledge of frameworks like FastAPI and LangGraph, take some time to review their documentation and understand their applications. Be prepared to explain how you've used these frameworks in past projects or how you would approach using them in this role.
✨Showcase Your Workflow Design Skills
The consultancy is looking for someone who can design workflows effectively. Think about examples from your previous work where you’ve designed or improved workflows, and be ready to discuss the impact of those changes on the overall project.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of AI systems and production environments. Practice explaining complex concepts in simple terms, as you may need to communicate your ideas to non-technical stakeholders.