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
AI models, tools, and platforms integrating with enterprise tools (ERP, CRM, LLM interfaces, knowledge graphs)
Domain
Enterprise automation, intelligent decision support, applied AI/ML
Deliverable
production ML models
Required skills
Deep learning, LLMs, model architectures (Transformers, diffusion models), Python, PyTorch, TensorFlow, scalable systems, APIs, 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, compliance, data governance
Technologies
PyTorch, TensorFlow, AWS, GCP, Azure
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
