At a Glance
- Tasks: Lead AI projects, build prototypes, and engage with clients to deliver innovative solutions.
- Company: Dynamic AI consultancy focused on cutting-edge technology and client success.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and continuous learning.
- Why this job: Join a team at the forefront of AI innovation and make a real impact.
- Qualifications: 8+ years in software development, client engagement, and AI expertise required.
The predicted salary is between 120000 - 170000 £ per year.
Location: Remote
Travel: Customer visits 4–5 days/month; occasional team gatherings
Salary: €120–£170k base + package discussion
Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG
Industry: AI Consultancy
The Role
We’re looking for talented Principal-level Forward Deployed Engineers to join our customer-facing AI practice. You’ll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles. This is a role for engineers who:
- Enjoy building real software that makes a difference
- Are passionate about AI and its practical application
- Thrive at the intersection of technical leadership and client engagement
What You’ll Do
- Customer-Facing Leadership
- Lead discovery workshops with technical and business stakeholders
- Represent the organisation’s technical capabilities in high-stakes client meetings
- Build trust and long-term relationships with engineering teams and decision-makers
- Solution Development & Architecture
- Build and iterate working AI prototypes quickly
- Architect scalable, maintainable systems from prototype to production
- Make sophisticated technical decisions balancing AI innovation, quality, and deployment needs
- Technical Mentorship & Team Growth
- Guide engineers through technical delivery, code reviews, and architectural discussions
- Elevate team capabilities through knowledge sharing, mentoring, and internal workshops
- Contribute to best practices, reusable components, and solution standards
- AI Mastery & Innovation
- Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems
- Design evaluation frameworks addressing bias, hallucination detection, and business impact
- Explore novel AI applications while integrating traditional ML techniques where appropriate
Who We’re Looking For
- For Principal Engineers: ~8+ years delivering complex, enterprise-grade software
- Full-stack development capability across modern technologies
- Client-facing experience or technical consulting skills
- AI curiosity and hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot
- Proven AI/ML expertise with production deployment experience
- Advanced knowledge of transformer architectures, foundation models, and prompt engineering
- Senior stakeholder engagement experience and ability to lead high-level AI strategy
Principal Engineer I employer: Immersum
As a Principal Engineer I at our innovative AI consultancy, you will thrive in a dynamic remote work environment that champions collaboration and technical excellence. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, ensuring you can develop your skills while making a meaningful impact on client projects. Join us to be part of a forward-thinking team that values creativity, mentorship, and the practical application of cutting-edge AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Engineer I
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even casual coffee chats. 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, prototypes, or any relevant work. This is your chance to demonstrate your hands-on experience and passion for AI, making you stand out in client-facing roles.
✨Tip Number 3
Prepare for those interviews! Research the company’s AI solutions and think about how your experience aligns with their needs. Be ready to discuss your technical decisions and how you've built trust with clients in past roles.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your client engagement and technical leadership skills, and let’s get the conversation started!
We think you need these skills to ace Principal Engineer I
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Principal Engineer role. Highlight your experience in AI, client engagement, and any relevant technologies like Python and JavaScript. We want to see how you can make a difference!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you a perfect fit for this role. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Projects:If you've worked on any AI projects or prototypes, make sure to mention them! We’re interested in your hands-on experience and how you've tackled challenges. Include links or descriptions that demonstrate your problem-solving skills and technical prowess.
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. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Immersum
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, JavaScript, Azure, and AWS. Brush up on your AI knowledge, especially around LLMs and RAG systems, as you’ll need to demonstrate your expertise during technical discussions.
✨Showcase Your Client Engagement Skills
Since this role involves a lot of client interaction, prepare examples of how you've successfully led discovery workshops or built relationships with stakeholders. Think about times when you’ve had to balance technical solutions with business needs and be ready to share those stories.
✨Prepare for Problem-Solving Scenarios
Expect to face real-world problems during the interview. Practice articulating your thought process on how you would approach building AI prototypes or architecting scalable systems. This will show your ability to think critically and innovate under pressure.
✨Demonstrate Your Mentorship Experience
Highlight any experience you have in mentoring or guiding other engineers. Be prepared to discuss how you’ve contributed to team growth and best practices, as this is a key part of the role. Share specific examples of how you’ve elevated team capabilities through knowledge sharing.
