AI Research Engineer - Enterprise Automation

Role Overview We are seeking a highly skilled AI Research Engineer to design, prototype, and optimize end‑to‑end AI systems that automate enterprise workflows. In this role, you’ll bridge applied research and engineering—developing cutting‑edge AI models, tools, and platforms that streamline decision‑making, improve operational efficiency, and unlock new capabilities for enterprise users.

Key Responsibilities

• Conduct applied research in AI and machine learning for process automation, knowledge systems, and intelligent decision support.
• Prototype, train, and deploy models that integrate with enterprise tools (e.g., ERP, CRM, LLM interfaces, and knowledge graphs).
• Collaborate with cross‑functional teams in data engineering, product, and business functions to identify automation opportunities and deploy scalable AI solutions.
• Develop pipelines and infrastructure for continuous learning and model optimization in production environments.
• Stay current with advancements in foundation models, multimodal AI, reinforcement learning, and autonomous agents, and evaluate their potential enterprise applications.
• Publish internal technical reports and contribute to the company’s intellectual property portfolio.

Required Qualifications

• MS or PhD in Computer Science, Electrical Engineering, or related field.
• 3+ years of experience in applied AI/ML research or engineering.
• Solid understanding of deep learning, LLMs, and model architectures (e.g., Transformers, diffusion models).
• Skilled in Python and ML frameworks such as PyTorch, TensorFlow.
• Experience building and deploying AI for enterprise automation or intelligent assistants.
• Strong software engineering background, with experience in scalable systems, APIs, and cloud environments (AWS, GCP, or Azure).
• Excellent problem‑solving and communication skills.

Preferred Qualifications

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