AI-Native Solutions Engineer

Location: France

Experience: 1–2 years

Type: Full-time

Company: Lineshift

🌍 About Lineshift

Lineshift is building AI-powered voice agents for automotive businesses — dealerships, repair shops, and car rental companies.

But more importantly:

we’re building an AI-native company from day one.

Not just our product — our internal operations, workflows, and customer relationships are being reinvented using AI.

This role sits at the center of that transformation.

To learn more visit our website https://www.lineshift.ai

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🎯 Role Overview

This is a hybrid role combining:

• Technical Customer Success

• Solutions Engineering

• AI Agent Builder / Operator

You will be one of the first employees working directly with customers to:

1. Deploy and configure AI voice agents

2. Translate real-world business needs into AI behavior

3. Build automations that scale customer success itself

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🧠 What You’ll Do

🧩 1. Deploy & Configure AI Agents

• Configure AI voice agents for each customer (dealerships, rental companies, etc.)

• Customize prompts, flows, and behaviors based on business needs

• Iterate quickly based on real-world conversations and outcomes

🤝 2. Customer Interaction & Success

• Work directly with customers to understand their workflows, pain points, and goals

• Translate feedback into concrete configurations and improvements

• Lead onboarding, follow-ups, and continuous optimization

🔌 3. Integrations & Technical Adaptation

• Connect our system to customer tools (CRMs, DMS, scheduling systems, etc.)

• Build lightweight integrations or scripts (APIs, webhooks, automation tools)

• Adapt deployments to fit real-world constraints

🐛 4. Level 2 Support & Debugging

• Investigate issues escalated from Level 1

• Diagnose bugs across the stack (telephony, AI, integrations)

• Propose fixes or workarounds, and collaborate with engineering when needed

📊 5. Customer Reporting & Continuous Improvement

• Lead periodic reporting with customers (performance, ROI, insights)

• Propose improvements, new features, and deployment changes

• Own the lifecycle of each customer deployment

🤖 6. Build AI-Native Customer Success

This is where the role becomes unique.

You won’t just do customer success — you’ll automate it.

You will design and implement meta AI agents that:

• Handle onboarding flows automatically

• Generate and send reports

• Detect anomalies in call data

• Suggest fixes and optimizations

• Assist in bug triage and resolution

You’ll leverage tools like:

• OpenAI APIs

• n8n / automation platforms

• “vibe coding” tools (rapid AI-assisted development)

• Internal data pipelines

Goal: scale yourself x10 using AI

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🧰 Requirements

💡 Experience

• 1–2 years in a technical support, solutions engineering, or customer success role

🧑‍💻 Technical Skills

• Comfortable with:

  • APIs, webhooks, basic integrations
  • Cloud environments (AWS, Azure, or GCP)
  • Windows environment
  • Debugging technical issues

• Ability to code:

  • Python and/or JavaScript
  • Build scripts, small tools, or automations

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🤖 AI-Native Mindset

• Proven experience using AI tools such as:

  • OpenAI API or similar
  • Claude / code assistants
  • n8n or similar automation tools
  • Rapid prototyping / Lovable or similar “vibe coding” tools

• Strong curiosity for:

  • LLMs
  • Prompt engineering
  • AI-driven workflows

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🗣️ Communication

• Strong communication and empathy with customers

• Fluent in English and French

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⚡ What Makes This Role Different

• You are not just managing customers: you are redefining how customer success works

• You will directly shape:

  • Product behavior
  • Internal processes
  • AI-driven operations

• You will operate at the intersection of:

  • AI
  • Product
  • Customer experience
  • Automation

👉 To Apply: