AI Algorithm Engineer: Agentic RAG & Document Intelligence

Vibehackers; City of Edinburgh; Hybrid; GBP 42,000 - 50,000; Full time

Job summary

Vibehackers in Edinburgh offers a hybrid role as AI Algorithm Engineer to deploy and extend the SCOTi platform for a major manufacturer. You will build production-scale AI that reads, connects and reasons over engineering knowledge from drawings, specifications and reports.

You will own implementations, mentor juniors, and work with the SCOTi team while applying ML/NLP and data engineering to production pipelines, enabling enterprise decision-making.

Qualifications

• Strong mathematical foundations and data analysis skills.
• Proficiency in vibe coding and production ML workflows.
• Right to work in the UK.

Responsibilities

• Develop causal-discovery algorithms to find root causes in complex manufacturing data.
• Design and implement agentic RAG (retrieval, ranking and context selection) methods to support enterprise question-answering.
• Build document-intelligence pipelines to extract and cross-check information from drawings, specifications and unstructured documents (Discrepancy AI).
• Implement robust connectors and integrations to pull data from legacy enterprise systems.
• Deploy and maintain models and pipelines in production environments; collaborate with the SCOTi engineering team.

Skills

Vibe coding

Information theory

Optimization

Statistics

Creative problem solving

Collaboration

Data engineering

SQL

NLP

Knowledge graphs

APIs

Mentorship

Tools

SQL

Job description

Vibehackers in Edinburgh offers a hybrid role as AI Algorithm Engineer to deploy and extend the SCOTi platform for a major manufacturer. You will build production-scale AI that reads, connects and reasons over engineering knowledge from drawings, specifications and reports.

You will own implementations, mentor juniors, and work with the SCOTi team while applying ML/NLP and data engineering to production pipelines, enabling enterprise decision-making.