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- Tasks: Design and deploy advanced AI solutions with proactive workflows on the Workato platform.
- Company: Join Workato Inc, a leader in innovative AI technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative team culture with exciting projects and career advancement opportunities.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge AI technology.
- Qualifications: BTech/BE in Computer Science and 4+ years of AI engineering experience required.
The predicted salary is between 60000 - 80000 £ per year.
Workato Inc is seeking a Forward Deployed Engineer to join their team in Greater London. This role demands expertise in designing, developing, and deploying advanced AI solutions while implementing agent-based workflows on the Workato platform.
Candidates should possess a BTech/BE in Computer Science or a related field, along with 4+ years of relevant experience in AI engineering. Strong collaboration and communication skills are essential in this dynamic and impactful work environment.
AI Agentic Engineer - Deploying Proactive Workflows in London employer: Workato Inc
Contact Detail:
Workato Inc 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 and engineering space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and workflows. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI engineering questions and be ready to discuss your past experiences. Practising with a friend can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Agentic Engineer - Deploying Proactive Workflows in London
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 of an AI Agentic Engineer, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about deploying proactive workflows and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Collaboration Skills: Since strong collaboration is key in our dynamic environment, mention specific examples where you’ve successfully worked in teams. We love to see how you communicate and collaborate with others!
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 Workato Inc
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge before the interview. Be ready to discuss your experience with designing and deploying AI solutions, especially on platforms like Workato. They’ll want to see that you can talk the talk and walk the walk!
✨Show Off Your Collaboration Skills
Since this role requires strong collaboration, think of examples where you've worked effectively in a team. Prepare to share how you’ve communicated complex ideas to non-technical stakeholders or collaborated on projects that required input from various team members.
✨Prepare for Technical Questions
Expect some technical questions that will test your problem-solving skills. Brush up on your coding skills and be ready to tackle real-world scenarios they might throw at you. Practising common algorithms or workflows can give you an edge.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! This shows your interest in the role and the company. Inquire about their current projects, the team dynamics, or how they measure success in AI deployments. It’s a great way to demonstrate your enthusiasm and curiosity.