Principal Engineer

Shape the future of advocacy management SaaS platforms as our technical visionary. Lead our engineering team in a well-funded startup with the freedom to innovate and make high-impact decisions from day one.

April 29, 2025

We are Trusted

🚀 We're on a mission to help global organisations win more profitable business faster, through intelligently capturing and converting the trusted voice of the customer. Trusted is set to redefine Customer Advocacy Marketing with a cloud-native, real-time, and AI-powered platform.

We're building the next-generation B2B demand engine, enabling brands to connect their prospects directly with their happiest customers—creating trust at scale.

Now is an incredible time to join Trusted. Backed by £1M in pre-seed funding from Fuel Ventures and 18 angel investors, we're assembling a world-class team and gearing up to start building.

Roger Barr - CTO & Founder

Reporting to the co-founder and CTO, we're looking for a Principal Engineer to drive our technical architecture, AI integration, and scalable infrastructure. We'd love to hear from you if you thrive on solving complex problems in AI, LLM orchestration, and high-performance distributed systems.

What you'll do

Lead AI Integration & Model Selection: Evaluate and select the most suitable LLM models for our platform, considering trade-offs in performance, cost, and adaptability.
Build Intelligent Agent AI Systems: Architect agent-based AI workflows that enhance real-time customer engagement.
Design & Optimize Data Storage: Implement vector databases for efficient retrieval-augmented generation (RAG) and semantic search, using CRUD databases only when appropriate.
Evaluate AI Models & System Performance: Establish evaluation frameworks (Eval) to continuously measure AI accuracy, efficiency, and real-world impact.
Select, Architect & Set Up Our Cloud Infrastructure: Establish evaluation frameworks (Eval) to continuously measure AI accuracy, efficiency, and real-world impact.
- Design and implement a scalable, cloud-native architecture for high availability and fault tolerance.
- Choose the right cloud provider (AWS, GCP, Azure) based on cost, performance, and security needs.
- Architect and deploy containerized services using Kubernetes, serverless functions, or microservices where appropriate.
- Establish CI/CD pipelines, observability, and security best practices for a SOC 2-compliant infrastructure.
Build and Lead the Engineering Team:
- Define the hiring strategy for a five-person engineering team.
- Identify key technical skills needed and hire top-tier backend, frontend, and infrastructure engineers.
- Work with leadership to ensure team structure aligns with company goals.
- Establish a strong engineering culture, focused on best practices, collaboration, and technical excellence.
- Mentor and develop the team to ensure rapid but sustainable growth.
Collaborate Across Teams: Work closely with Product, Data Science, and Engineering to align AI and infrastructure decisions with business needs.
Mentor & Set Engineering Standards: Guide senior engineers, promote best practices, and ensure a high-performance engineering culture.

What we're looking for

8+ years of software engineering experience: including architecture, AI, and cloud infrastructure.
Experience hiring engineers: and building early-stage technical teams, including defining roles and selecting top talent.
Deep experience in LLMs & AI ecosystems: including fine-tuning, embedding models, and vector databases (e.g., Weaviate, Pinecone, FAISS).
Strong understanding of AI principles: retrieval-augmented generation (RAG), agent-based AI, and modern AI evaluation techniques.
Expertise in backend & cloud technologies: including Node.js and cloud-native architectures (AWS/GCP).
Experience in cloud infrastructure: design, deployment, and automation, with knowledge of Terraform, Kubernetes, or serverless architectures.
Pragmatic approach to data storage solutions: using CRUD only when necessary, and leveraging NoSQL, graph, and vector databases where they add value.
Experience designing high-scale, real-time platforms: with a focus on security and compliance (SOC 2, GDPR, etc.).
Passion for experimentation: benchmarking, and evaluating AI models in real-world use cases.
Excellent problem-solving skills: with a strong product and user-first mindset.

Why join us?

Shape the future of AI-driven B2B marketing in a rapidly growing startup.
Own the technical vision for a state-of-the-art, AI-powered platform.
Freedom to innovate.
Hire and build a top-tier engineering team from the ground up.
Define and establish Trusted's cloud infrastructure and AI-driven architecture.
Work in a high-trust, remote-first environment with flexible hours.
Competitive salary plus equity options in a high-impact role.
25 days of holiday per year, in addition to bank holidays.
Home office budget.
Personal development budget.

Interested?

Ready to build something revolutionary? If you're excited about working on LLMs, AI agent systems, vector databases, cloud infrastructure, and scalable architectures, let's talk.

To apply, simply email jobs@thetrusted.io and help us redefine Customer Advocacy Marketing.