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Senior ML Engineer - AI Platform & Agents

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PhantomBuster

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Location:
France; Spain; Portugal

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Join PhantomBuster as a Senior ML Engineer to build agentic AI with AWS Bedrock, LangChain, and LLMs. Shape greenfield infra, own impact, and grow with a curious, autonomous team.

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:
  • Fully remote working environment (France, Spain, or Portugal)
  • Real ownership: you will define how agentic AI is built at PhantomBuster, not follow someone else's decisions
  • Freedom to research and adopt new technologies as the space evolves & to make an impact at a small, self-funded, and profitable tech startup by laying the foundation for machine learning and AI
  • Collaborative and open-minded culture based on rationality, humility, honesty, and long-term thinking
  • 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 (french-based contracts)
  • Lunch vouchers - €8 (50% The Phantom Company) / worked day (french-based contracts)
  • Partnership with MokaCare
  • €70 a month benefit for entertainment expenses
  • Book Allowance and Sharing Program

Additional Information:

Job Posted:
May 15, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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