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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 environment with strong emphasis on communication and teamwork.
- Why this job: Make a real impact by working on cutting-edge AI projects in a dynamic team.
- 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 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
✨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 you've implemented. 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 technical questions related to AI and agent-based workflows. Practising with a friend can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI Agentic Engineer - Deploying Proactive Workflows
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 at Workato.
Showcase Collaboration Skills: Since strong collaboration is key in this role, mention any teamwork experiences or projects where you’ve successfully worked with others. We love seeing how you can contribute to our dynamic environment!
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 knowledge of AI solutions and agent-based workflows. Be ready to discuss specific projects you've worked on, especially those involving the Workato platform. This shows you're not just familiar with the theory but have practical experience too.
✨Show Off Your Collaboration Skills
Since strong collaboration is key for this role, think of examples where you've successfully worked in a team. Prepare to share how you communicated effectively with colleagues or stakeholders to achieve project goals. This will highlight your ability to thrive in a dynamic environment.
✨Ask Smart Questions
Prepare insightful questions about the company's current projects or future plans regarding AI and automation. This demonstrates your genuine interest in the role and helps you understand how you can contribute to their success.
✨Practice Makes Perfect
Conduct mock interviews with a friend or use online resources to practice common interview questions related to AI engineering. The more comfortable you are with your responses, the more confident you'll appear during the actual interview.