Senior ML Engineer - AI Platform & Agents Job at PhantomBuster (Bordeaux)

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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Senior ML Engineer - AI Platform & Agents

Job Description

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