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- Tasks: Design and develop cutting-edge agentic AI systems using Python.
- 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: Exciting contract role with opportunities for professional growth.
The predicted salary is between 50400 - 84000 £ 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) 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)
✨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 technical interviews by brushing up on your coding skills and understanding AI frameworks. We recommend practicing common interview questions and even doing mock interviews with friends or mentors.
✨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 Agentic AI Engineer, Production Systems (Python)
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 our needs.
Be Clear About Your Experience: When detailing your experience, be clear about your previous roles and responsibilities. We’re looking for candidates who can design workflows and evaluate frameworks, so make that shine through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
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 frameworks like FastAPI and LangGraph.
✨Understand the Role of Agentic AI
Familiarise yourself with what agentic AI means and how it applies to production systems. Be prepared to discuss how you would design workflows and evaluate frameworks in this context. Showing a solid understanding of the role will impress the interviewers.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of AI systems and production environments. Practice coding challenges or system design questions related to LLM-powered services. This will help you feel more confident during the technical part of the interview.
✨Showcase Your Collaboration Skills
Since this role involves working with top professionals in the financial sector, be ready to talk about your teamwork experiences. Share examples of how you've successfully collaborated on projects, particularly in high-stakes environments, to demonstrate your ability to work well with others.
