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PhantomBuster Logo PhantomBuster · IT - Software Development

Senior ML Engineer - AI Platform & Agents

France, Bordeaux · Job Posted May 29, 2026
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Job Description

We are building agentic AI into the core of our product and need someone who can help us move faster — not by learning as they go, but by bringing real, hands-on experience with agentic systems from day one. You will work alongside our current ML Engineer to set standards, build the frameworks others will follow, and advise engineering teams across the company on how to implement AI agents the right way. This is a greenfield opportunity: you will shape how we do things, not inherit someone else's playbook.

Job Responsibility

  • Define and evolve our infrastructure to allow for better ML and AI capabilities, with a focus on LLM-based and agentic systems
  • Contribute to the development and expansion of our agentic AI framework powered by AWS Bedrock, enabling both internal tools and customer-facing features
  • Identify, source, and refine datasets to allow tuning models, powering retrieval pipelines, or expanding agentic workflows
  • Pre-process data by using techniques such as data cleaning, feature engineering, and transformation
  • Train, evaluate, and deploy both LLM-based systems and traditional machine learning models into production
  • Monitor, debug, and continuously improve deployed models and AI tools
  • Support machine learning usage throughout the company, including selecting the right modeling approach for the use case (LLM vs. traditional ML)
  • Support the integration and use of LLMs, including approaches such as fine-tuning, prompt tuning, and retrieval-augmented generation (RAG), to improve accuracy

Requirements

  • 5+ years of experience as an ML Engineer, AI Engineer, or Software Engineer with a strong AI focus
  • Hands-on experience building AI agents using frameworks such as LangChain, Amazon Bedrock AgentCore, or similar
  • Strong understanding of LLM-based systems: prompt engineering, agent orchestration, tool use, and multi-agent workflows
  • Familiarity with MCP (Model Context Protocol) and experience integrating agents with external APIs or data sources
  • Experience working with Agents for Amazon Bedrock AgentCore or similar agent setups
  • Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques
  • Experience with cloud platforms for model training and deployment, especially AWS
  • Proficiency in Python, including LangChain, and standard data libraries (Pandas, NumPy, etc.)
  • Fluency in English

Nice to have

  • Direct experience with conversational chat agents/sub-agents (LangChain/LangGraph, Pydantic structured outputs, tool calling) and shared evaluation infrastructure (DeepEval, Langfuse traces, cross-agent I/O contracts)
  • Background in MLOps: model monitoring, CI/CD pipelines, versioning (MLflow, Airflow)
  • Contributions to open-source ML or AI projects
  • Experience in a SaaS B2B or product-led growth company

What we offer

  • International team
  • Fun team building events
  • €40/month for remote work
  • Flexible working time
  • Home office budget up to €1500
  • 100% of an Alan Blue subscription
  • Lunch vouchers - €8 (50% The Phantom Company) / worked day
  • Partnership with MokaCare
  • €70 a month benefit for entertainment expenses
  • Book Allowance and Sharing Program
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