Agent Builder - Freelance

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (Freelance) based in Paris or Bordeaux, with 4 days on-site per week.

What You’ll Do

1. Design & Build AI Agents

• Create workflow‑driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi‑step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production‑grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent‑building standards
• Act as a champion for AI‑driven ways of working

Our Stack and Tools

• Agentic & automation tools: Dust, n8n, Make, Zapier
• Finance systems: NetSuite, Payflows, Upflow, Expensya, Anaplan
• Data & reporting: Excel, PowerBI, Looker, SQL

You'll Love This Job If You Have

• 3 to 5 years of experience as a Data Scientist or Machine Learning Engineer with strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Proficiency in Python & data fundamentals (SQL, JSON, data structuring)
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low‑code/no‑code automation platforms (n8n, Make, Zapier or equivalent)
• Ability to design and implement agent product with multi‑step agentic workflows
• Curiosity and continuous learning – staying current with AI/ML trends and exploring new technologies
• Strong communication skills in both English and French