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For Companies 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, remote work, and opportunities for professional growth.
- Why this job: Join a team at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in software development, AI curiosity, and strong client engagement skills.
- Other info: Flexible remote work with occasional travel and excellent career advancement opportunities.
The predicted salary is between 136000 - 184000 £ per year.
Location: Remote
Travel: Customer visits 4–5 days/month; occasional team gatherings
Salary:
- Senior: €130–150k base + growth trajectory
- Principal: €160–200k base + package discussion
Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG
Industry: AI Consultancy
The Role
We’re looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers through to Principal-level AI technical leaders. 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 Senior Engineers:
- ~5–8+ years building robust, scalable software systems
- ~ 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
For Principal Engineers:
- ~8+ years delivering complex, enterprise-grade software
- ~ 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
Dynamics Principal Engineer employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Dynamics Principal Engineer
✨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 projects, especially those involving AI and software development. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by practising common technical questions and client-facing scenarios. Role-play with a friend or use online resources to simulate the experience. Confidence is key when you're leading discussions with stakeholders!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your passion for AI and how you can contribute to our innovative projects.
We think you need these skills to ace Dynamics Principal Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of a Principal Forward Deployed Engineer. Highlight your experience in AI, client engagement, and any relevant technologies like Python or Azure.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for this role. Share specific examples of your past work that demonstrate your technical leadership and problem-solving skills.
Showcase Your Projects: If you've worked on AI prototypes or scalable systems, make sure to include these in your application. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
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’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Immersum
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, JavaScript, Azure, and AWS. Brush up on your AI knowledge, especially around LLMs and RAG systems. Being able to discuss these technologies confidently will show that you’re not just familiar but truly passionate about the field.
✨Prepare for Client Engagement Scenarios
Since this role involves a lot of client interaction, think about how you would lead discovery workshops or handle high-stakes meetings. Prepare examples from your past experiences where you successfully built trust with clients or stakeholders. This will demonstrate your ability to engage effectively.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you’ve tackled complex software challenges in the past. Think of specific instances where you built prototypes or made architectural decisions that balanced innovation with practical deployment needs. This will highlight your technical leadership capabilities.
✨Emphasise Mentorship and Team Growth
Talk about your experience guiding other engineers and contributing to team development. Share examples of how you’ve elevated team capabilities through mentoring or knowledge sharing. This will show that you’re not just a technical expert but also a leader who fosters growth in others.