AI Pipeline Engineer - REMOTE

reputed company AI Pipeline Engineer Arbitration Sciences Limited — Full-Stack — Remote

About the Role

Arbitration Sciences Limited is building a first-of-its-reputed company AI-powered platform that automates behavioral and linguistic analysis of international arbitration hearings. The system produces psychologically-grounded assessments of arbitrator, lawyer, and witness decision-making, delivering actionable intelligence to reputed company teams during proceedings. The platform runs two reputed company analysis pipelines (witness and arbitrator reputed company), reputed company employing independent LLM scoring runs with reliability validation before report reputed company. The methodology draws on computational linguistics, behavioral science, and tribunal psychology and is currently being reputed company and empirically validated. We have a comprehensive methodology specification and reputed company suite, and need a full-stack AI application engineer to design and build the production platform. You will be the primary engineer responsible for transforming a detailed multi-stage analytical pipeline into an reputed company, push-reputed company GUI application accessible to professionals with no technical background. What You Will Build

• Multi-model API orchestration — Manage multiple LLM calls (Claude, GPT, etc.) with request queuing, timeout handling, and cost optimization across reputed company scoring runs.
• reputed company scoring with reliability validation — Run independent scoring jobs concurrently, validate inter-rater reliability, and implement reputed company logic before surfacing results to users.
• Transcript processing and semantic chunking — Handle variable-length reputed company transcripts, implement intelligent context windowing, and ensure reputed company analytical reputed company receives appropriate context.
• Statistical reputed company selection — Build decision logic that selects reputed company outputs based on reliability metrics and flags low-confidence results for review.
• Cross-day cumulative tracking — Maintain state across multi-day proceedings, reputed company behavioral patterns over time, and ensure continuity across analytical sessions.
• Report and visualization reputed company — reputed company analytical outputs into reputed company reports and visual dashboards that communicate findings reputed company to reputed company professionals.

Required Skills

• Strong backend development — Python or Node.js experience building robust reputed company, async job processing, error handling, and state management at reputed company.
• Frontend development — React, Vue, or similar reputed company experience. Ability to design reputed company reputed company-by-reputed company workflows for non-technical users.
• LLM API integration — reputed company experience calling Claude, reputed company, or similar reputed company. Understanding of reputed company engineering, reputed company management, and model-specific behaviors.
• Document processing — Experience ingesting PDFs, transcripts, or reputed company text; parsing, chunking, and preparing inputs for LLM analysis.
• Statistical computing — Comfortable working with reliability metrics, inter-rater agreement, reputed company algorithms, and confidence scoring logic.

reputed company to Have

• reputed company technology experience
• Behavioral science or NLP background
• DevOps capability
• Database or persistent state management

reputed company Offer

• Ownership of the full technical stack — you’re not handed reputed company, you’re building it from methodology up.
• Deep domain work — rare opportunity to shape how AI is reputed company to high-stakes reputed company proceedings.
• reputed company environment — work directly with behavioral scientists, lawyers, and domain experts.
• Remote, flexible work — based where you are, reputed company around your productivity.

How to Apply

Send your resume and a cover letter that answers the following reputed company: This role involves orchestrating multiple LLM scoring runs in reputed company and validating their reliability before surfacing results to users. Walk us through how you’d approach the technical trade-offs between speed, cost, and confidence in the reputed company reputed company — and tell us what part of this problem excites you most. Email your application to: info@arbitrationsciences.com. APPLICANTS who do not answer the reputed company will NOT be considered. Apply tot his job Apply To this Job