Senior AI Engineer

Vera
Vera

Software Engineering, Data Science

GBP 80k-100k / year + Equity

Posted 6+ months ago

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 impact
  • You architect and scale intelligent systems, not just fine-tune prompts
  • You balance speed and rigor — pragmatic about when to build vs buy
  • You bring deep knowledge of the AI/ML toolchain and know how to apply it in the real-world
  • You communicate clearly explain the “why” behind AI
  • You’re excited to own problems end-to-end with autonomy and urgency
  • You’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 frameworks
  • Designing new features for document understanding, classification and data extraction
  • Building retrieval-augmented generation (RAG) systems to power intelligent workflows
  • Architecting AI agent systems using CrewAI / Pydantic AI to automate business ops
  • Crafting context-aware prompt engineering strategies for LLM workflows
  • Collaborating closely with engineers to integrate models into production APIs
  • Researching and evaluating new AI methods and tooling to drive efficiency
  • Translating AI capabilities into product narratives that make sense to stakeholders
  • 🌍 What You’re Walking Into

  • Production AI systems processing thousands of documents daily
  • A stack of LLM apps that need optimizing, scaling, and smart architecture
  • Complex document pipelines pulling handling diverse formats
  • Integration with 15+ business applications requiring intelligent data extraction
  • Opportunities to lead on multi-agent workflows and novel RAG infrastructure
  • A 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 processing
  • 2+ years of production LLM experience (GPT-3.5/4, Claude, etc.)
  • 2+ years document processing like PDF parsing, OCR, text extraction, classification
  • 2+ years experience with LangChain, LlamaIndex, or similar frameworks
  • Strong 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 optimization
  • Solid prompt engineering skills — few-shot, CoT, multi-turn
  • You’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 field
  • 2+ years with Azure OpenAI or AWS Bedrock
  • Background in classic NLP with recent shift to LLMs
  • Experience with document layout analysis, OCR, or lightweight computer vision
  • Familiarity with vector databases (Pinecone, Weaviate, or ChromaDB)
  • Early adopter energy — you picked up LLMs early and ran with them
  • Previous 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 SMBs
  • Own real LLM workflows; multi-agent systems, RAG, and intelligent document automation
  • Build from zero: clean slate infra, no tech debt, full control
  • Ride the inflection point: early customers, revenue, and serious demand
  • Work 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 & Founder
  • CTO
  • Founding Team + Engineering Team
  • Salary is commensurate with experience, and we offer substantial equity. The position does not have fixed hours and does not include bonuses.