Description
Founding Senior AI Engineer
📍 Location: Fully Remote
💰 Competitive salary (80-100k GBP*) plus attractive equity opportunity
🙌 Full-time or Contract
👤 Reporting to: Simon Holland, Founder
📩 Apply here
🫵 About You
You’re joining as a Senior AI Engineer to take full ownership of Vera’s intelligent document automation systems from architecture to production deployment.
You’ve shipped real-world LLM features, worked across the modern AI stack (LangChain, Pydantic AI, vector DBs), and want to build fast for real business use cases — not just prototypes.
You have a proven track record shipping LLM features into production with impactYou architect and scale intelligent systems, not just fine-tune promptsYou balance speed and rigor — pragmatic about when to build vs buyYou bring deep knowledge of the AI/ML toolchain and know how to apply it in the real-worldYou communicate clearly explain the “why” behind AIYou’re excited to own problems end-to-end with autonomy and urgencyYou’re fine with ambiguity and can adapt as quickly as the stack (and business) evolves🧩 What You’ll Own
Architecting AI systems using Azure OpenAI, LangChain, Pydantic AI, multi-agent frameworksDesigning new features for document understanding, classification and data extractionBuilding retrieval-augmented generation (RAG) systems to power intelligent workflowsArchitecting AI agent systems using CrewAI / Pydantic AI to automate business opsCrafting context-aware prompt engineering strategies for LLM workflowsCollaborating closely with engineers to integrate models into production APIsResearching and evaluating new AI methods and tooling to drive efficiencyTranslating AI capabilities into product narratives that make sense to stakeholders🌍 What You’re Walking Into
Production AI systems processing thousands of documents dailyA stack of LLM apps that need optimizing, scaling, and smart architectureComplex document pipelines pulling handling diverse formatsIntegration with 15+ business applications requiring intelligent data extractionOpportunities to lead on multi-agent workflows and novel RAG infrastructureA fast-growing AI-native company where your ideas ship fast and matter✅ Our Must-Haves
6+ years of AI/ML experience with deep roots in NLP and document processing2+ years of production LLM experience (GPT-3.5/4, Claude, etc.)2+ years document processing like PDF parsing, OCR, text extraction, classification2+ years experience with LangChain, LlamaIndex, or similar frameworksStrong Python skills with AI/ML libraries (TensorFlow, PyTorch, scikit-learn, transformers)Hands-on with PDF parsing, OCR, classification (pre-LLM experience welcome)Experience with vector DBs, embeddings, and RAG design and optimizationSolid prompt engineering skills — few-shot, CoT, multi-turnYou’ve shipped AI models into production environments, not just notebooks⭐ Bonus
(Not required, but hugely helpful)
Master’s in AI/ML, Computer Science, or related field2+ years with Azure OpenAI or AWS BedrockBackground in classic NLP with recent shift to LLMsExperience with document layout analysis, OCR, or lightweight computer visionFamiliarity with vector databases (Pinecone, Weaviate, or ChromaDB)Early adopter energy — you picked up LLMs early and ran with themPrevious experience in document or business process automation🔥 5 Reasons To Join
Architect the AI backbone of a platform used by top-tier finance pros and growing SMBsOwn real LLM workflows; multi-agent systems, RAG, and intelligent document automationBuild from zero: clean slate infra, no tech debt, full controlRide the inflection point: early customers, revenue, and serious demandWork in a high-frequency problem space: the kind AI is built for📩 Apply here.
Include links to anything you’re proud of GitHub, personal site, or just a thoughtful note. We care more about what you’ve built than where you’ve worked.
This will be a 3-stage interview process:
CEO & FounderCTOFounding Team + Engineering TeamSalary is commensurate with experience, and we offer substantial equity. The position does not have fixed hours and does not include bonuses.