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.

7+ years of professional software engineering experience, including 3+ years 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.
Experience architecting scalable systems on cloud platforms (AWS, Azure, GCP).
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.

Experience building AI systems for real-time, low-latency, or edge deployments.
Familiarity with modern data governance, privacy, and compliance standards (SOC2, GDPR, ITAR).
Hands-on experience with retrieval-augmented generation (RAG) for building AI systems that combine large language models with external knowledge sources.
Understanding of and/or experience with Model Context Protocol (MCP) or similar emerging standards for connecting AI systems with data and tools.
Customer-facing experience gathering requirements, presenting solutions, and demonstrating value.
Contributions to open-source projects or published research in applied AI/ML.
Experience mentoring engineers and contributing to engineering best practices.

On-site — Los Angeles, CA, El Segundo

First Resonance is an equal opportunity employer dedicated to building an inclusive and diverse workforce.
First Resonance participates in E-Verify.
As part of our onboarding process, a new hire's Form I-9 information will be shared with the federal government to confirm they are authorized to work in the U.S.
Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location.

First Resonance is hiring a Senior AI Engineer