AI Algorithm Engineer (Agentic RAG & Document Intelligence)

Vibehackers; City of Edinburgh; On-site; 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

AI Algorithm Engineer (Agentic RAG & Document Intelligence)

Explicitly requires vibe coding skills; role also works with agentic RAG and LLM-based document intelligence.

About the Role

Join smartR.ai as an AI Algorithm Engineer to deploy and extend the SCOTi platform at a large manufacturer, building production-scale algorithms for causal discovery, agentic RAG, document intelligence and legacy system connectors. The role offers hands-on ownership and mentorship while applying ML/NLP and data-engineering methods to connect and reason over engineering knowledge.

Job Description

Role

You will deploy and extend the SCOTi platform at a major manufacturing customer, building AI that reads, connects and reasons over engineering knowledge (drawings, specifications, reports, telematics and warranty data). Your algorithms will run in production at scale and you will work alongside the developers who built SCOTi with real ownership and mentorship.

Key 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

Requirements

Required

• Strong mathematical foundations (information theory, optimisation, statistics)
• Knowledge of vibe coding
• Creative problem-solving and collaborative communication skills
• Right to work in the UK

Desirable / Knowledge (not required)

• Experience or knowledge of NLP, LLMs, RAG, information retrieval or knowledge graphs
• Data engineering experience including APIs, SQL and working with messy real-world data
• Interest in manufacturing or industrial applications

Experience

• Suitable for entry-level candidates and those with 1–2 years of relevant experience

What we offer

• Direct mentorship from the engineers who built SCOTi
• A three-year, fully funded programme with a named industrial deployment
• Opportunities to present work through consortium dissemination

Location & Working Pattern

Hybrid remote in Edinburgh (EH2 1DD).

£42,000.00-£50,000.00 per year

SCOTi LLMs RAG Agentic RAG SQL APIs Knowledge graphs

Skills

Information theory Optimization Statistics Vibe coding Creative problem solving Collaboration Data engineering API development SQL NLP Information retrieval Knowledge graphs

Experience Level

Junior

GBP 42,000 - 50,000/year

Employment Type

Full-time

• Three-year fully funded programme with named industrial deployment