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Founding AI Engineer – Senior/Staff
SignalFireFounding AI Engineer joining SignalFire’s VC-backed startup portfolio. Designing production ML systems, scalable data pipelines, RAG architectures, and LLM-powered products with startup founders.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, developing, and deploying machine learning and deep learning models, with a strong focus on building scalable data pipelines and optimizing AI models for various processing needs. Proficient in leveraging cloud platforms and MLOps tools to align AI strategies with business objectives.
Highest-signal resume keywords
Machine LearningDeep LearningPythonTensorFlowMLOps
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningPythonTensorFlowPyTorchJAXApache SparkKafkaHadoopMLOps
Tools & Technologies
AWSGCPAzureDockerKubernetes
Industry Keywords
AI StrategiesData PipelinesFeature EngineeringReal-Time ProcessingBatch ProcessingRAG PipelinesAgent ArchitecturesLLM-Powered SystemsStartup ExperienceEarly-Stage Environments
Tech Stack
Tools & technologiesApacheAWSAzureDockerGoogle Cloud PlatformHadoopKafkaKubernetesPythonPyTorchSparkTensorflow
About the role
Key responsibilities & impact- Design, develop, and deploy machine learning and deep learning models
- Build scalable data pipelines for preprocessing, feature engineering, and model training
- Optimize and deploy AI models for real-time and batch processing
- Work closely with founders to align AI strategies with product and business goals
- Research and integrate state-of-the-art AI methodologies
- Develop and optimize RAG pipelines, agent architectures, and LLM-powered systems
- Submit an application to join SignalFire’s Talent Ecosystem
- Collaborate with SignalFire talent partners and portfolio-company leaders when opportunities match
Requirements
What you’ll need- 3+ years of experience in machine learning, deep learning, or applied AI
- Strong Python skills
- Experience with TensorFlow, PyTorch, or JAX
- Experience with big data tools such as Apache Spark, Kafka, and Hadoop
- Experience with MLOps platforms
- Familiarity with AWS, GCP, or Azure
- Familiarity with Docker and Kubernetes
- Startup experience or interest in early-stage environments is a plus
Benefits
Comp & perks- Offers Equity
- Access to exclusive early-stage opportunities through SignalFire’s Talent Network
- Profile kept on file for future AI/ML roles in SignalFire’s portfolio
- Opportunity to work directly with founders and shape AI strategy