Experienced Software Engineer

We’re looking for a seasoned, hands-on Software Engineer, someone who doesn't just write code, but lives and breathes the craft. If you have a real passion for building and solving complex problems with elegance, then this could just be the perfect role for you.

This isn't a role for someone who needs to follow a rigid checklist. We need an engineer with personality, spark and energy who is ready to make a massive impact.

You will drive the technical direction of products that are cutting-edge, modern, and exciting.

Forget analysis paralysis; you're a pragmatic, "give it a go" person. You’re up for testing things out, spiking solutions fast to get the proof, and delivering high-value iterations. You are intensely productive and have a bias to action, laser focused on value and outcome.

You are more than just a back-end expert.

You are an experienced, hands-on engineer who thrives on turning complex ideas into reality.

You have a genuine passion and hunger for the GenAI space and see technology as a way to solve real business problems.

You can handle yourself in front of clients, able to translate technical concepts into compelling narratives, and you work seamlessly with dev teams to unblock progress.

If you have the experience, the spark, and the passion to build our next chapter and if you love what we do, we can’t wait to hear from you.

Our Senior Engineers are hands‑on technologists who lead by example. As a Senior Engineer (AI) you will combine deep software engineering expertise with a passion for generative AI to take early-stage concepts and turn them into powerful, production‑ready solutions.

You will act as a catalyst for innovation, rapidly prototyping new ideas, guiding engineering teams, and working closely with sales and product teams to align cutting‑edge tech with business outcomes.

This role is UK‑based and requires a charismatic engineer who can inspire colleagues, engage clients, and stay on top of the latest GenAI developments.

Skills And Experience

• Mastery of C# and TypeScript, with strong database skills and proficiency in at least one additional language such as Python, C++ or C.
• Experience building or integrating AI/ML systems and the ability to translate generative AI research into practical, domain‑specific solutions.
• Experience with unit testing and automated testing approaches; understanding of YAML pipelines, CI/CD and deployment strategies.
• Deep knowledge of data structures, algorithms and design patterns.
• Ability to create scalable, efficient and maintainable designs that meet functional and non‑functional requirements.
• Understanding of branching strategies (e.g. GitFlow) and experience working in cross‑functional teams.
• Awareness of code security and common vulnerabilities (e.g. OWASP Top 10) and best practices for protecting sensitive data.
• Experience delivering complex solutions; consulting, team leadership, manufacturing domain knowledge are all a bonus.
• Commitment to staying on top of relevant technical skills and contributing to the continual improvement of Razor’s engineering standards.
• Engage clients, teams and stakeholders, demonstrating prototypes and translating complex concepts into business‑focused narratives.
• Rapidly spike and test ideas to validate hypotheses before scaling.
• Provide technical support to the engineering team. Offer top‑down estimates, unblock progress, and ensure coding standards align with Razor’s engineering best practices.

• Communicate complex concepts in compelling narratives and inspire trust with clients and stakeholders.
• Avoid analysis paralysis; experiment quickly, learn fast and iterate.
• Lead by example: mentor, delegate effectively and hold teams accountable for quality and timelines.
• Work seamlessly with cross‑functional teams.
• Maintain strong, consistent and timely communication with colleagues, senior management and clients.
• Independent technical decision making.

• Understand the commercial impact of technical decisions and align innovation with business goals.
• Focus on delivering solutions that provide measurable ROI and improve customers’ bottom lines.
• Recognise when bespoke solutions are needed and when to leverage reusable platform capabilities to drive scalability and profitability.
• Pragmatic understanding of the commercial impact of changes.
• Informed estimation and raising awareness of discrepancies and slippage.
• Proactively make decisions based on commercial understanding.