Client-Facing AI Engineer: Prototyping to Production

Jackalope Digital LLC

United Kingdom

Remote

GBP 90,000 - 150,000

Full time

14 days+
Application generator

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Job summary

Modus is seeking a Forward Deployed AI Engineer to work directly with clients, translating business challenges into production AI solutions. You’ll move between conversations, architecture, coding, prototyping, and real-world delivery to drive measurable impact.

The role blends AI engineering, software development, and consulting, with an emphasis on scalable architectures and end-to-end delivery in a fully remote, international environment.

Qualifications

  • Typically 5+ years in software engineering or AI/ML engineering.
  • Experience building AI/ML or Generative AI applications.
  • Strong problem solving with evolving requirements.
  • Ability to prototype and turn ideas into working software.
  • Strong communication and stakeholder management.

Responsibilities

  • Work directly with clients to understand business challenges and requirements.
  • Translate problems into practical AI and software solutions.
  • Design, build, and deploy AI-powered applications, agents, and workflows.
  • Integrate LLMs, Generative AI, APIs, and data sources.
  • Prototype rapidly and validate with users.
  • Develop APIs, data pipelines, and infrastructure.
  • Design scalable, secure architectures.
  • Implement monitoring and feedback for AI solutions.
  • Collaborate with product, data, and engineering teams to production.
  • Communicate technical concepts clearly to technical and non-technical stakeholders.

Skills

Python
APIs & System Integration
LLMs / Generative AI
Cloud Platforms
TypeScript
Agent Orchestration
Customer-Facing / Consulting
Solution Architecture
Application Engineering
AI/ML Integration

Tools

Docker
Kubernetes

Job description

Modus is seeking a Forward Deployed AI Engineer to work directly with clients, translating business challenges into production AI solutions. You’ll move between conversations, architecture, coding, prototyping, and real-world delivery to drive measurable impact.

The role blends AI engineering, software development, and consulting, with an emphasis on scalable architectures and end-to-end delivery in a fully remote, international environment.

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