AI Agentic Engineer - Deploying Proactive Workflows in London

AI Agentic Engineer - Deploying Proactive Workflows in London

London Full-Time 60000 - 84000 € / year (est.) No home office possible
Workato

At a Glance

  • Tasks: Design and deploy advanced AI solutions using the Workato platform.
  • Company: Join a leading tech company at the forefront of AI innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on cutting-edge projects.
  • Why this job: Be part of a team that shapes the future of AI technology.
  • Qualifications: BTech/BE in a relevant field and 4+ years of AI engineering experience.

The predicted salary is between 60000 - 84000 € per year.

Workato is seeking an experienced Forward Deployed Engineer to join their team in Greater London. The role involves designing, developing, and deploying advanced AI solutions, particularly using the Workato platform.

Candidates should have a BTech/BE in a relevant field and at least 4 years of experience in AI engineering. Strong collaboration and communication skills are essential, along with proficiency in programming languages like Java, Python, or Ruby. Experience with integration technologies like TIBCO or MuleSoft will be beneficial.

AI Agentic Engineer - Deploying Proactive Workflows in London employer: Workato

At Workato, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity in deploying cutting-edge AI solutions. Join us to be part of a forward-thinking team where your contributions are valued and rewarded, making a meaningful impact in the tech landscape.

Workato

Contact Detail:

Workato Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Agentic Engineer - Deploying Proactive Workflows in London

Tip Number 1

Network like a pro! Reach out to folks in the AI engineering space, especially those who work with Workato or similar platforms. A friendly chat can open doors and give you insights that job descriptions just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI solutions or integrations. This gives potential employers a taste of what you can do beyond your CV.

Tip Number 3

Prepare for the interview like it’s a coding challenge! Brush up on your programming languages and be ready to discuss your experience with integration technologies. Confidence and clarity can really set you apart.

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 AI Agentic Engineer - Deploying Proactive Workflows in London

AI Engineering
Workato Platform
Collaboration Skills
Communication Skills
Java
Python
Ruby

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in AI engineering and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess in Java, Python, or Ruby!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI solutions and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!

Showcase Collaboration Skills:Since strong collaboration is key for us, mention any experiences where you’ve worked in teams or led projects. Highlighting your communication skills can really set you apart from other candidates!

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’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Workato

Know Your Tech Inside Out

Make sure you’re well-versed in the programming languages mentioned in the job description, like Java, Python, or Ruby. Brush up on your knowledge of AI solutions and integration technologies such as TIBCO or MuleSoft, as these will likely come up during the interview.

Showcase Your Collaboration Skills

Since strong collaboration and communication skills are essential for this role, prepare examples from your past experiences where you successfully worked in a team. Think about how you contributed to projects and how you handled any challenges that arose.

Demonstrate Problem-Solving Abilities

Be ready to discuss specific challenges you've faced in AI engineering and how you approached solving them. This could involve detailing a project where you designed and deployed a solution, highlighting your thought process and the outcomes.

Ask Insightful Questions

Prepare thoughtful questions about the company’s use of the Workato platform and their approach to AI solutions. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.