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# AI Engineer

- **Company:** scrumconnect ltd
- **Location:** London, UK
- **Salary:** £85,000.0 - £100,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Continuous Integration, DevOps, Service Development Studio, Software Engineering, Speech Recognition, Large Language Models, Prompt Engineering, Reliability of Systems, AI Platforms, Machine Learning Operations, Api Design, Data Pipelines, Automation Anywhere, Devsecops, Microservices
- **Published:** August 14, 2026
- **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-AC1B7EC38032DF31CC/

## About the Role

Core Technical Skills

 * Strong experience building AI-enabled applications in production environments.
 * Experience with speech-to-text/transcription pipelines or similar AI workloads.
 * Hands-on experience with LLMs, prompt engineering, and evaluation workflows.
 * Experience designing AI pipelines and data processing workflows

Engineering & DevOps

 * Experience with CI/CD pipelines and DevSecOps practices
 * Knowledge of API integration and microservice architectures
 * Experience implementing observability and monitoring for AI systems

## Description

To support this phase, the team is seeking two experienced AI Engineers for an initial six-month engagement.

Role Focus

The AI Engineer will focus on AI capability development and production maturity, helping to improve reliability, scalability, and engineering practices across the service.

You will work closely with engineers, product teams, and delivery leads to expand core functionality while ensuring robust, secure, and well-governed AI workflows., AI Service Development

 * Support and enhance the live Transcribe service, focusing on AI components.
 * Design and implement transcription workflows for uploaded audio files.
 * Develop anonymisation and redaction capabilities aligned with publication requirements.

AI Integration & Capabilities

 * Support the transcript summarisation proof of value (PoV).
 * Enable reuse of existing summarisation capabilities through API-based integration.
 * Work with internal API platforms to expose and consume AI capabilities.

AI Engineering Practices

 * Strengthen AI pipeline patterns including:

 * Extract ? Chunk ? Prompt ? Evaluate workflows

Integrate evaluation mechanisms and Responsible AI controls into AI features.

Contribute to the safe and structured use of AI coding assistants within the development life cycle.

DevSecOps & Operational Maturity

 * Improve AI-specific CI/CD practices, testing frameworks, and deployment processes.
 * Enhance observability, monitoring, and production readiness for AI services.
 * Support improvements in system resilience and operational stability.

Knowledge Sharing & Engineering Resilience

 * Reduce single-point-of-failure risks by documenting systems and sharing knowledge.
 * Contribute to engineering standards, documentation, and operational playbooks.

Expected Outcomes

During the six-month engagement the team aims to deliver:

 * Stable and sustainable live support capability for the Transcribe platform.
 * Delivery of audio file transcription capability
 * Delivery or controlled rollout of anonymisation/redaction features.
 * Clear integration Pathway for transcript summarisation services via API.
 * Improved deployment confidence and release cadence.
 * Reduced dependency on individual engineers through improved documentation and shared knowledge.
 * Strengthened AI engineering practices and operational maturity across the service


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