Principal Software Engineer
No salary listed
Expert
London, UK
HybridThree days per week in the London office.
Software EngineeringFull-Stack Engineering
About the job
Requirements
- At least 8 years of experience designing, building, and scaling enterprise-grade software systems.
- Deep technical expertise across the full stack, including Python, TypeScript, React, and cloud-native architectures.
- Proven experience architecting distributed systems and integrating AI services or data platforms.
- Experience setting technical direction, establishing patterns, and guiding multiple teams.
- Strong understanding of DevOps, infrastructure as code, and microservices design.
- Track record of mentoring senior engineers and leading technical communities.
Responsibilities
- Define and evolve the overall software architecture and technology vision for the organisation.
- Provide deep technical guidance to multiple engineering teams across projects.
- Lead the design and delivery of large-scale distributed systems that integrate AI and data services.
- Champion engineering excellence by establishing standards for code quality, performance, and reliability.
- Collaborate with product and AI leadership to align software strategy with company goals.
- Review and approve major architectural decisions and technology selections.
- Mentor and coach Lead Engineers, elevating technical capability across the organisation.
- Evaluate emerging technologies and introduce innovative approaches that improve software delivery.
- Ensure best practices in security, observability, CI/CD, and cloud infrastructure are embedded throughout the engineering function.
- Represent the engineering organisation externally at conferences, client meetings, and community events.
Desired Qualifications
- Develop expertise with emerging AI models and capabilities before they reach mainstream adoption.
- Create intellectual property and novel implementation approaches.
- Work across multiple industries to develop deep domain expertise.
- Contribute to the evolution of the company's proprietary AI methodology.
- Participate in the AI research community and establish thought leadership.
- Shape new AI services and capabilities within the Pathway platform.
About the company
WeBuild AI helps large organizations become AI-powered and data-informed through strategic AI and data digital transformation. It deploys teams of skilled experts and uses its proprietary AI Launchpad and industry-specific GPTs to drive rapid, measurable changes in enterprise systems and processes. It blends consulting with building AI-enabled solutions, delivering data strategies, AI models, governance, and change management for industry-specific outcomes. Its goal is to give clients a competitive edge by leading sustainable value-generating transformation.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
London, United Kingdom
Founded
2024
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Simplify's Take
What believers are saying
- 2026 case studies show sovereign wealth, legal, and retailer deployments.
- August 2026 OpenAI Select Partner announcement strengthens enterprise trust and pipeline.
- Hiring across AI, data platform, and sales signals growth into new accounts.
What critics are saying
- 34 employees limit delivery capacity against Accenture, Cognizant, and Deloitte.
- Consulting margins collapse if OpenAI, Microsoft, and AWS commoditize launchpad work.
- A failed enterprise rollout or compliance breach destroys trust and ends sales momentum.
What makes WeBuild-AI unique
- OpenAI Select Partner status gives WeBuild-AI privileged model access and credibility.
- Proprietary AI Launchpad and industry GPTs package repeatable enterprise delivery.
- Small London team of 34 sells senior attention, not generic body-shop staffing.
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Benefits
- Hybrid Work Options