Senior AI Developer

Build AI-assisted tooling for scholarly publishing - manuscript screening, similarity and AI-content detection, metadata extraction and editorial copilots.

We are bringing modern AI into the day-to-day work of running peer-reviewed journals: screening incoming manuscripts, extracting structured metadata, assisting editors with summaries and correspondence, and keeping research integrity checks (plagiarism and AI-content detection) accurate and fair.

• Design and ship LLM-backed features: manuscript triage, metadata extraction, editorial assistants and reviewer support tools.
• Build evaluation harnesses so every model or prompt change is measured before it reaches editors.
• Integrate third-party detection and enrichment APIs, and decide build-vs-buy with clear analysis.
• Own the cost, latency and reliability of AI features in production.
• Keep our use of AI transparent and defensible - publishing ethics matter deeply here.

• 4+ years of software engineering, including 1-2 years building production features on LLM or ML APIs.
• Strong Type Script or Python; comfort integrating with a Node.js/PostgreSQL backend.
• Practical prompt-engineering and RAG experience, and the habit of evaluating rather than eyeballing.
• Sound judgment about where AI should and should not be used in an editorial pipeline.

• Experience with document parsing (PDF/LaTeX/DOCX) at scale.
• Familiarity with research-integrity tooling (iThenticate, Turnitin, AI-content detectors).
• Publications or side projects in NLP / information extraction.