Not specified (assumed to be hybrid or onsite based on industry standards).
Python apis using fastapi
Enterprise ai/ml platform services
Ci/cd stacks for edge deployment
Honeywell is seeking a Full Stack AI Platform Engineer to design and build AI systems that enhance automation across its global portfolio. The role requires extensive experience in software engineering and AI/ML operations, with a focus on developing scalable solutions for real-time data processing and model deployment
Job Summary
Design, build, and scale AI systems end-to-end — from high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM orchestration and RAG services, to the React-based interfaces that surface autonomous insights to plant engineers, facility managers, and OT security analysts.
Work at the intersection of data engineering, machine learning operations, and edge AI — building production-grade infrastructure that processes billions of IoT events from building management systems, deploys models to edge devices, and enables AI-driven applications.
This is a high-impact individual contributor role for someone who thrives in ambiguity, ships production systems, and can operate across the full stack from cloud-native platforms to edge GPU hardware.
Matching Summary
Match Score: 85
Honeywell is seeking a Full Stack AI Platform Engineer to design and build AI systems that enhance automation across its global portfolio. The role requires extensive experience in software engineering and AI/ML operations, with a focus on developing scalable solutions for real-time data processing and model deployment.