Founding AI Engineer - VC Backed Startups SeniorStaff
Founding AI Engineer - VC Backed Startups SeniorStaff
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1 Vacancy
Job Description
Join SignalFires Talent Network for Founding AI Engineer Roles at VCBacked Startups
At SignalFire we partner with top earlystage startups that are shaping the future of technology. Our portfolio spans 200 innovative companies across AI cybersecurity healthtech fintech developer tools and enterprise SaaS.
Were looking to connect with exceptional Founding AI Engineers who are excited about joining highgrowth startups as core technical leaders. By joining SignalFires Talent Network your profile will be shared with our portfolio companies giving you visibility into exclusive earlystage opportunities that may not be publicly listed.
This is not an application for a specific job. Instead this is a way to get on the radar of VCbacked startups that are actively hiring AI/ML talent. If you have any questions please direct inquiries to
Who Should Join
Were looking for AI engineers who are:
Passionate about building AI/ML models from the ground up and deploying them in production
Excited about joining earlystage startups and working directly with founders
Interested in shaping AI strategy and leading the development of AIpowered products
Typical Roles & 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 realtime and batch processing
Working closely with founders to align AI strategies with product and business goals
Researching and integrating stateoftheart AI methodologies
Developing and optimizing RAG pipelines agent architectures and LLMpowered systems
Common Qualifications
While each startup has its own hiring criteria many founding AI roles in our network look for:
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)
Startup experience or an interest in earlystage environments is a plus
Technologies You Might Work With: Python TensorFlow PyTorch JAX scikitlearn Kubernetes Docker MLflow TFX Kubeflow FastAPI Flask SQL NoSQL Apache Spark Kafka Hadoop Flink Airflow AWS (SageMaker Lambda S3 GCP (Vertex AI BigQuery) Azure (ML Studio Synapse).
What Happens Next
Submit your application to join SignalFires Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If theres a match a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet Well keep your profile on file for future AI/ML roles in our portfolio.
Required Experience:
Senior IC
Employment Type
Full-Time
