AI Engineer, Senior Associate

We’re looking for an AI Engineer who can take end‑to‑end ownership of features: from wrangling messy data, to building robust RAG pipelines, to shipping reliable APIs into production. You’ll sit between “wrapper dev” and “researcher”: comfortable with Python, data, and modern LLM tooling, and sceptical enough about AI outputs to keep our systems safe and accurate. Ideally, you have experience in agentic frameworks, some software development and strong desire to learn.

Key responsibilities include:

• Design, build, and maintain Retrieval‑Augmented Generation (RAG) pipelines over unstructured data (PDFs, HTML, emails, transcripts, APIs) using embeddings, vector databases (e.g. Pinecone, Weaviate, Qdrant), and Graph Databases (Puppy Graph, Neo4J, Tiger Graph, Arango
  
  DB, etc).
• Implement and tune chunking strategies to preserve context and improve retrieval quality, rather than naïve fixed‑length splits.
• Integrate LLMs (OpenAI, Anthropic, open‑source) via SDKs/HTTP, handling context windows, rate limits, retries, timeouts, and graceful degradation.
• Experience with AI coding tools:
  Cursor, Windsurf, etc. Someone who can look to remove the ‘vibe’ from ‘vibe coding’, and call out AI when it produces poor code, based on their human coding experience.
• Leverage AI-assisted development (e.g., Cursor/Windsurf/Git Hub Copilot/LLM agents) to create production‑quality software faster – generating scaffolding, tests, and documentation – while applying rigorous human review for correctness, security, and maintainability.

Architecture & Agentic Systems

• Designing multi‑agent / “agentic” workflows where specialized AI agents coordinate (triage, research, drafting, review) to solve complex tasks.
• Experience with conversation state management, tool routing, and designing robust hand‑offs between agents/services.

Security, governance & ethics

• Implementing prompt‑injection defences, output filtering, role/permissioning, and safe tool‑use patterns.
• Knowledge of data privacy and governance concerns around AI (GDPR, SOC2) and experience with dataset auditing / fairness evaluation is a plus.
• Experience fine‑tuning or adapting open‑source models (e.g. Llama, Mistral) and managing training/inference pipelines.
• Comfort experimenting with new architectures and tooling and evaluating trade‑offs vs. hosted APIs.
• Build ETL jobs and ingestion scripts to clean, normalize, and enrich text data (Python, pandas, Beautiful Soup or equivalent).
• Work with both SQL and vector stores; design schemas and indices that support low‑latency semantic and hybrid search.
• Design, iterate, and version prompts (system, user, tool) using techniques like few‑shot examples and chain‑of‑thought to improve reliability on complex tasks.
• Own evaluation (evals) for your features: create test sets, define success metrics (accuracy, faithfulness, latency), and run regression tests before and after changes (e.g. Ragas or custom eval harnesses).
• Monitor production behaviour, debug hallucinations, and systematically reduce failure modes through better retrieval, prompting, and guardrails (not just “tweak the temperature”).

Backend integration & APIs

• Build and maintain typed, well‑tested backend services (e.g. Python with FastAPI/Flask; Node/Type Script as a plus) that expose AI capabilities to front‑end and internal consumers.
• Implement observability for your services (logging, metrics, tracing, token usage) and contribute to dashboards for reliability and costs.
• Work closely with product, design, and ops to scope AI features, translate fuzzy requirements into concrete technical plans, and iterate based on user feedback.
• Take end‑to‑end ownership of projects: from prototype through to production, maintenance, and continuous improvement.

Other

• Be responsible for ensuring all information security processes, policies and procedures are adhered to and any issues or concerns are raised with the Cyber Security team.
• Ensure full compliance with all local data protection regulations and privacy controls, and any related issues are raised via the appropriate channels.

Technical

• Keeps up to date with the latest developments in AI and loves to experiment with new models.
• Bachelor’s or…