Senior AI Engineer, First Resonance

• The ideal candidate is just as comfortable shipping core product features as they are designing intelligent AI systems
• 7+ years of professional software engineering experience, including experience shipping AI/ML-powered products into production
• Proven track record of building and shipping customer-facing applications (AI and non-AI) that deliver measurable business value
• Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, or equivalent)
• Experience architecting scalable systems on cloud platforms (AWS, Azure, GCP)
• Hands-on experience with MLOps practices and tools (MLflow, Kubeflow, SageMaker, etc.)
• Expertise in data modeling, preprocessing, and model evaluation at scale
• Familiarity with generative AI models (LLMs, diffusion models, GANs) and their real-world applications
• Strong knowledge of APIs and modern software design patterns for integrating AI into SaaS products
• Excellent problem-solving, communication, and cross-functional collaboration skills
• Passion for AI innovation paired with the ability to deliver non-AI product functionality when needed

Desirable

• We’re looking for a Senior Software Engineer with a passion for AI to join us in our mission of bringing the ION Factory OS to next-generation hardware builders around the globe
• While this role emphasizes AI innovation, we’re seeking a senior engineer who can deliver end-to-end product functionality—AI-driven or otherwise
• As a senior engineer, you’ll collaborate with AI/ML specialists, product managers, and customers to bring cutting-edge research into real-world applications while ensuring that our broader platform continues to scale
• You'll lead the design, implementation, and optimization of production-ready AI systems within the ION Factory OS
• Ship customer-facing features that directly impact manufacturing workflows, including AI-driven functionality (e.g., generative procedure creation, anomaly detection, recommendations) and core product features not reliant on AI
• Architect and maintain scalable software systems, including AI/ML pipelines and broader product infrastructure
• Design and implement AI features using retrieval-augmented generation (RAG) pipelines to deliver context-aware insights and recommendations
• Leverage Model Context Protocol (MCP) and similar frameworks to connect AI models seamlessly with structured/unstructured data sources and external tools
• Collaborate with product managers and customers to translate real-world challenges into robust software solutions
• Partner with data engineering to process and transform structured and unstructured manufacturing data into usable formats
• Ensure reliability, scalability, and maintainability of all systems in production, leveraging CI/CD and cloud-native workflows
• Stay ahead of advancements in software engineering and AI, bringing the best practices into shipped product features
• Mentor junior engineers and help raise the technical bar across the team