At a Glance
- Tasks: Implement AI solutions for clients in FinTech, HealthTech, and Energy sectors.
- Company: Gravity Engineering Services Pvt Ltd, a leader in innovative engineering solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities to work with cutting-edge AI tools.
- Other info: Work 2-3 days a week in Central London offices with excellent career growth potential.
- Why this job: Join a dynamic team and make a real impact with AI in various industries.
- Qualifications: 5+ years in client-facing roles and strong programming skills in Python, Java, and TypeScript.
The predicted salary is between 60000 - 80000 £ per year.
Gravity Engineering Services Pvt Ltd. is seeking a Forward Deployed Engineer to implement AI-native engineering solutions for clients in FinTech, HealthTech, and Energy sectors. You will work with engineering teams to ship changes and leverage cutting-edge AI tools.
The position requires:
- 5+ years of experience in client-facing roles
- Strong programming skills in Python, Java, and TypeScript
Work requires 2-3 days a week in Central London offices.
Forward Deployed AI Engineer - Client-Facing, Hybrid London employer: Gravity Engineering Services Pvt Ltd.
Gravity Engineering Services Pvt Ltd. is an exceptional employer that fosters a dynamic work culture where innovation meets collaboration. With a strong focus on employee growth, we offer numerous opportunities for professional development and the chance to work with cutting-edge AI technologies in a vibrant Central London setting. Our hybrid work model ensures flexibility while maintaining a strong team spirit, making it an ideal place for those seeking meaningful and rewarding careers in the tech industry.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Engineer - Client-Facing, Hybrid London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech, HealthTech, and Energy sectors. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python, Java, and TypeScript. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for client-facing scenarios! Brush up on your communication skills and think about how you’d explain complex AI concepts to non-tech clients. Role-playing with a friend can help you feel more confident when it comes to interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and makes it easier for us to find your application.
We think you need these skills to ace Forward Deployed AI Engineer - Client-Facing, Hybrid London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills in Python, Java, and TypeScript. We want to see how your experience aligns with the role, so don’t hold back on showcasing your technical prowess!
Client-Facing Experience Matters:Since this role is client-facing, share examples of how you've successfully interacted with clients in the past. We love to see how you’ve tackled challenges and delivered solutions that made a difference.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Forward Deployed AI Engineer role. We appreciate when candidates take the time to connect their experiences to what we’re looking for.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills in Python, Java, and TypeScript. Be ready to discuss specific projects where you've used these languages, as well as any AI tools you've implemented. This will show your technical prowess and how you can apply it in real-world scenarios.
✨Understand the Client's Needs
Since this role is client-facing, it's crucial to demonstrate your understanding of the FinTech, HealthTech, and Energy sectors. Research common challenges these industries face and think about how AI solutions can address them. This will help you connect with the interviewers and show that you're not just a techie but also a problem solver.
✨Showcase Your Communication Skills
In client-facing roles, communication is key. Prepare to share examples of how you've effectively communicated complex technical concepts to non-technical stakeholders. Practising clear and concise explanations will help you stand out as someone who can bridge the gap between engineering and client needs.
✨Be Ready for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities in real-time. Think about past experiences where you had to implement AI solutions under pressure or adapt to changing client requirements. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
