About PaneraTech, Inc.
PaneraTech is a high-tech company that serves manufacturers in over 40 countries. Our disruptive technology offers unparalleled solutions that are often patent protected. Industries that use high-temperature processes, such as glass and steel, rely on PaneraTech to solve the major challenges they face. We leverage both AI and human expertise to improve efficiency, worker knowledge, and safety. We help in two major areas:
Asset Life Extension - With our patented solution in the glass and steel industry, we help manufacturers make data-driven decisions using sensors, data, and AI. This results in longer asset campaigns safely with higher annual production.
Enabling the next generation of workers - Heavy industries have relied on the experience of employees who worked for decades in one plant. As a generation of operators and engineers retire, we bridge the experience gap with technology, data, and expertise. We offer solutions that make industrial operations more data-driven, allowing early-career professionals to flourish.
About the role
We are looking for a highly motivated Senior Generative AI Scientist to take an active role in the development of next-generation AI systems that combine generative intelligence, reasoning, and multi-agent collaboration. You will play a key role in building AI copilots for industrial operationsintelligent assistants that integrate multi-agent reasoning, domain expertise, and real-time data to empower operators, engineers, and decision-makers. You will propose and develop innovative solutions that leverage generative and agentic AI to optimize processes, simulate expert knowledge, and enhance decision support across manufacturing environments.
What you'll do
- Leading research and development in Generative AI, foundational models, and multi-agent systems for adaptive and autonomous industrial intelligence.
- Designing and implementing multi-agent architectures that coordinate reasoning, planning, and decision-making among specialized AI agents.
- Developing collaborative AI frameworks where agents interact, share context, and collectively solve complex industrial or operational problems.
- Fine-tuning Large Language Models (LLMs) for domain-specific reasoning, process understanding, and real-time decision support.
- Prototyping and deploying agentic models that generalize across language, vision, and sensor-based data streams.
- Building Generative AI systems capable of producing synthetic data, simulations, and expert-like recommendations.
- Collaborating with engineers, scientists, and product teams to bring intelligent multi-agent systems into production environments.
- Evaluating and enhancing model coordination, robustness, explainability, and scalability.
- Mentoring junior researchers and fostering a culture of creativity, innovation, and responsible AI development.
Qualifications
Bachelor's Degree in Electrical Engineering, Computer Science, or a related field.
Strong programming skills in Python.
Excellent communication skills and the ability to work in global, cross-functional teams.
Proven expertise in one or more of the following areas:
- Generative AI (LLMs, diffusion, or multimodal models)
- Fine-tuning and optimizing Large Language Models (LLMs)
- Multi-agent systems and agentic reasoning architectures
- Representation or meta-learning
- Reinforcement or continual learning
- Multimodal AI for vision, text, and sensor data fusion
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