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Un leader dans le développement de produits AI recherche un Senior Principal Full-Stack AI Engineer pour contribuer à l'expansion de solutions innovantes. Vous relèverez des défis techniques en architecturant des solutions de traitement de données pour des clients d'entreprise dans un environnement dynamique. Ce poste nécessite une expertise technique approfondie et une passion pour la construction de produits AI à fort impact.
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LOCATION: Remote — United Kingdom Preferred (global applicants welcome)
If you haven’t built and scaled an AI-powered product from 0-1 to meaningful ARR, iterated LLM prototypes into production software, and shipped products end-to-end that have at least 500 k+ concurrent users, this role isn’t for you. We’re looking for a senior builder who writes production code every day, lives inside Cursor and Windsurf, and thrives in ultra-fast startup loops. Our AI company has been around for 5+ years and is scaling aggressively in the data processing and research spaces.
About The Company
Our client is an AI tech startup (5+ years old) specializing in large-scale data processing and analysis. The company utilises human in the loop workflows with proprietary software that ingests large audio and text datasets---call recordings, research transcripts, data feeds---and produces structured outputs used in business intelligence workflows. They are rapidly scaling across multiple industry verticals, which represents a significant growth opportunity, and are seeking a technical leader to spearhead this initiative.
Role Overview
As a Senior Principal Full Stack Engineer, you will report directly to the CEO or the Head of Engineering and play a pivotal role in driving our expansion into new markets. You will lead the development and scaling of our AI solutions while providing strategic technical leadership across the organization. You will move from prototype to production on a weekly cadence, measure performance, and keep the codebase deployable at all times. This hands-on role requires you to architect and implement advanced LLM and RAG systems while deeply understanding the unique requirements of enterprise clients. You'll bridge technical execution with strategic vision, developing solutions that address specific challenges in document processing, data analysis, and workflow automation.
The position is 80% hands-on development and requires high proficiency with Cursor, Windsurf or an equivalent IDE.
Key Responsibilities
1. AI Product Development
• Architect and develop specialized AI solutions for document transcription, analysis, and processing
• Design and implement custom RAG systems optimized domain-specific terminology and document structures
• Build secure, compliant, and auditable AI pipelines that meet enterprise standards
• Lead the development of our product roadmap from concept to significant revenue
2. Strategic Technical Leadership
• Partner with the CEO and leadership team on technical strategy and execution
• Identify innovative applications of AI technology in data analysis, reporting, and workflow automation
• Translate strategic objectives into technical requirements and implementation plans
• Drive cross-functional alignment on technical priorities and resource allocation
• Write production-level code in Python and other relevant languages for our solutions
• Implement scalable AI architectures, retrieval systems, and real-time processing workflows
• Design cloud-native infrastructure that meets the security and compliance requirements of enterprise clients
• Guide engineering teams on best practices for AI application development
4. Domain Expertise & Client Solutions
• Apply deep understanding of enterprise workflows to inform technical solutions
• Ensure our AI systems meet industry standards for data processing and security
• Architect solutions that integrate seamlessly with existing technology stacks
• Develop features that address specific pain points in document management and data analysis
5. Team Enablement & Organizational Impact
• Serve as a technical advisor to the CEO on AI strategy and market opportunities
• Mentor engineering teams on AI implementation and domain knowledge
• Foster a culture of engineering excellence and continuous innovation
• Represent the company's technical capabilities with key enterprise clients and partners
Who You Are
Qualifications
1. Technical Expertise
• 10+ years full stack software engineering; 2+ years deploying LLM-based systems.
• Proven track record implementing production-grade LLM and RAG solutions
• Daily user of Cursor and Windsurf; comfortable scripting custom extensions.
• Very competent understanding of MCP and experiencing build integrations with major LLMs
• Strong coding abilities in Python (Sanic); React (MUI) and other relevant frameworks
Experience with secure cloud infrastructure (AWS, GCP, Azure) for enterprise applications
• Knowledge of vector databases (FAISS, Pinecone, Weaviate) and optimization techniques
• Direct experience building technology solutions for enterprise clients
• Understanding of enterprise data processing and documentation requirements
• Knowledge of compliance and security considerations in enterprise technology
• Experience with document processing, extraction, and analysis systems
3. Startup & Leadership Experience
• Proven success scaling a product from concept to significant revenue
• Experience in high-pace organisations (YC or equivalent) is preferred.
• Comfortable working asynchronously across time zones.
• Strong bias toward clear documentation and direct feedback.
• Experience leading technical teams in fast-paced environments
• Strategic thinking balanced with hands-on execution capabilities
• Track record of shipping products that deliver measurable business value
What We Offer
How to Apply
Please submit your resume and a cover letter that specifically addresses:
If you are passionate about building AI-native products for enterprise clients and driving innovation in a high-growth startup, we'd love to hear from you!
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