Solution Engineer - Enterprise AI (6-Month Contract)
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Job description
Solution Engineer Enterprise AI (6-Month Contract)
SC Cleared - Must have active transferable SC Clearance
- Location: Waterloo, London (100% Onsite, 5 days per week)
- Rate: £650 - £700 per day (Inside IR35)
- Duration: 6 months (with potential to extend)
About the Role
This is not a high-level advisory role. As a Solution Engineer you will be on the ground, coding, designing, and deploying full-stack AI-driven web applications directly on this AI Platform.
You will bridge the gap between complex AI engineering and customer-facing delivery. You will work directly with major enterprise clients to build custom demos, proofs-of-technology, and production-ready applications.
What You Will Do
- Build & Deploy: Engineer full-stack, AI-based enterprise applications using Python and JavaScript.
- Client Delivery: Run technical deep-dives, demonstrations, and system training for enterprise customers.
- Review & Troubleshoot: Conduct code reviews, test customer applications, and resolve technical bottlenecks.
- Mentor: Guide junior developers on coding standards and system design.
- Collaborate: Work alongside product and engineering teams to feed customer insights back into the core platform.
What You Bring
- Hands-on Code: At least 2+ years of professional software development experience (OOP).
- Tech Stack: Proficiency in Python and JavaScript, alongside modern frameworks (React, Angular, Vue, etc.).
- Cloud & Data: Proven experience deploying to AWS, GCP, or Azure, alongside a strong understanding of SQL/NoSQL databases.
- Communication: Exceptional client-facing skills. You must be comfortable presenting to and collaborating with technical and non-technical stakeholders.
- Education: A Bachelor s degree in a STEM subject (or equivalent practical experience).
This position is strictly 5 days a week onsite at the Waterloo office and requires active transferable SC Clearance
Requirements
- Hands-on Code: At least 2+ years of professional software development experience (OOP).
- Tech Stack: Proficiency in Python and JavaScript, alongside modern frameworks (React, Angular, Vue, etc.).
- Cloud & Data: Proven experience deploying to AWS, GCP, or Azure, alongside a strong understanding of SQL/NoSQL databases.
- Communication: Exceptional client-facing skills. You must be comfortable presenting to and collaborating with technical and non-technical stakeholders.
- Education: A Bachelor s degree in a STEM subject (or equivalent practical experience).
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