About The Position

Join SignalFire’s Talent Network for Founding AI Engineer Roles at VC-Backed Startups. This is not an application for a specific job, but a way to get on the radar of VC-backed startups that are actively hiring AI/ML talent. SignalFire partners with top early-stage startups that are shaping the future of technology across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. We are looking to connect with exceptional Founding AI Engineers who are excited about joining high-growth startups as core technical leaders. By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.

Requirements

  • 3+ years of experience in machine learning, deep learning, or applied AI
  • Strong Python skills with frameworks like TensorFlow, PyTorch, or JAX
  • Experience with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platforms
  • Familiarity with cloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)

Nice To Haves

  • Startup experience or an interest in early-stage environments is a plus

Responsibilities

  • Designing, developing, and deploying machine learning (ML) and deep learning models
  • Building scalable data pipelines for preprocessing, feature engineering, and model training
  • Optimizing and deploying AI models for real-time and batch processing
  • Working closely with founders to align AI strategies with product and business goals
  • Researching and integrating state-of-the-art AI methodologies
  • Developing and optimizing RAG pipelines, agent architectures, and LLM-powered systems
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