Staff Engineer, Autonomous AI Applications

Staff Engineer, Autonomous AI Applications

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Become a tech whiz by implementing and integrating cutting-edge AI software.
  • Company: Join Shield AI, a leader in autonomous technology and innovation.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Collaborative environment with endless learning and career advancement potential.
  • Why this job: Make a real difference in AI and autonomy across exciting industries.
  • Qualifications: Experience in software applications and a passion for AI technology.

The predicted salary is between 60000 - 80000 £ per year.

Shield AI is seeking a Software Applications Engineer to provide technical expertise during implementation and use of Shield AI enterprise software products, collaborating with customers to ensure successful integration for AI and Autonomy development.

You will become an expert user of the Hivemind Enterprise Autonomy SDK, deploy AI infrastructure at customer sites, train customers, and help integrate and debug software and APIs across aviation, robotics, and unmanned platforms.

Staff Engineer, Autonomous AI Applications employer: shieldai

At Shieldai, 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 training opportunities and a supportive environment that encourages leadership development. Join us to be part of a forward-thinking team where your contributions directly impact cutting-edge technology and client success.

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Contact Details:

shieldai Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Engineer, Autonomous AI Applications

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at shieldai or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to shieldai.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like shieldai.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like shieldai that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Staff Engineer, Autonomous AI Applications

Technical Expertise
AI and Autonomy Development
Hivemind Enterprise Autonomy SDK
AI Infrastructure Deployment
Customer Training
Software Integration
Debugging Skills

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at shieldai.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at shieldai and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at shieldai

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If shieldai uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.