AI Research Engineer - Enterprise Automation
Core
Design, prototype, and optimize end-to-end AI systems to automate enterprise workflows, bridging applied research and engineering to streamline decision-making and improve operational efficiency.
Role type
Senior IC AI Research Engineer (Enterprise Automation)
Builds
Scalable AI models, tools, and platforms integrating with enterprise tools (ERP, CRM, LLM interfaces, knowledge graphs) for automation and intelligent decision support.
Domain
Enterprise software automation, applied AI/ML, intelligent systems
Deliverable
production ML models
Required skills
Deep learning, LLMs, model architectures (Transformers, diffusion models), Python, ML frameworks (PyTorch, TensorFlow), scalable systems engineering, cloud environments (AWS, GCP, Azure), applied AI/ML research
Preferred skills
Multi-agent systems, data orchestration, autonomous workflows, knowledge graphs, vector databases, retrieval-augmented systems, enterprise security and compliance
Technologies
PyTorch, TensorFlow, AWS, GCP, Azure, LLM interfaces, knowledge graphs, vector databases
Responsibilities
Conduct applied research in AI/ML for process automation and intelligent decision support; Prototype, train, and deploy models integrating with enterprise tools; Collaborate with cross-functional teams to identify automation opportunities and deploy scalable AI solutions; Develop pipelines and infrastructure for continuous learning and model optimization; Evaluate advancements in foundation models, multimodal AI, reinforcement learning, and autonomous agents for enterprise applications; Publish internal technical reports and contribute to intellectual property.
Seniority
Senior, hands-on IC