Senior GenAI Systems Engineer - Remote UK

Vibehackers

United Kingdom

Remote

GBP 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Private Medical Insurance
Remote-first working
Occasional travel to company events

Job summary

Vibehackers is seeking a Senior Applied AI Engineer to lead the end-to-end design and delivery of production-grade AI and Generative AI systems in a remote-based role in the UK. You will own engagement outcomes, define success metrics, measure business impact, manage technical risk, and mentor fellow engineers while serving as a trusted client technical contact.

You will work across GenAI/RAG workflows, deploy on cloud platforms, and contribute to reusable accelerators and best practices to

Qualifications

  • Proven track record delivering AI models, systems and products to production in a consultancy or AI-driven product organisation.
  • Strong programming skills (Python and related technologies).
  • Experience integrating models/LLMs and deploying on cloud platforms (AWS and/or Databricks) with solid CI/CD practices.
  • Ability to own delivery, manage stakeholders, and guide other engineers with confidence.

Responsibilities

  • Own workstream and engagement outcomes; define success and measure business impact.
  • Design AI and GenAI systems end-to-end across the lifecycle and justify key trade-offs.
  • Evaluate model performance using operational and business-relevant metrics beyond simple accuracy.
  • Lead code reviews, resolve technical disagreements, and explain AI concepts and limitations to stakeholders.
  • Mentor and grow other engineers; contribute reusable components and best practices.

Skills

System Design
Testing Methodologies
CI/CD
Model Integration
Deployment
Stakeholder Management
Mentoring
Communication
Delivery & Impact Measurement
Technical Leadership
Python
AWS
Databricks

Tools

AWS
Databricks

Job description

Vibehackers is seeking a Senior Applied AI Engineer to lead the end-to-end design and delivery of production-grade AI and Generative AI systems in a remote-based role in the UK. You will own engagement outcomes, define success metrics, measure business impact, manage technical risk, and mentor fellow engineers while serving as a trusted client technical contact.

You will work across GenAI/RAG workflows, deploy on cloud platforms, and contribute to reusable accelerators and best practices to

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