Product Engineer, Chemicals

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Basetwo AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Manufacturing • Enterprise

Basetwo AI is a company focused on transforming the manufacturing industry through the use of artificial intelligence. Their platform empowers engineers to operationalize AI, enabling process optimization across various industries, such as pharmaceuticals, specialty chemicals, energy, aerospace, consumer packaged goods, and building materials. Basetwo AI provides solutions for improving manufacturing quality, transparency, and performance by using real-time AI-generated insights and recommendations. They offer a low-code interface for integrating, simulating, and optimizing plant processes, helping to reduce costs, enhance product quality, and streamline manufacturing operations.

📋 Description

• Partner directly with chemical manufacturing customers to deploy and scale Basetwo solutions • Lead technical onboarding and implementation of digital twin projects across pilot, lab, and commercial manufacturing environments • Build trusted relationships with process engineers and scientists, operators, and technical leadership teams • Identify opportunities for process scale up/tech transfer, operational improvement, and AI-driven insights • Translate customer pain points into actionable technical solutions and product feedback • Drive successful project execution from initial discovery through deployment and measurable business impact • Analyze manufacturing, process, and lab/DoE datasets to uncover process bottlenecks and optimization opportunities • Develop simulations, models, and analytical workflows using Python and the Basetwo platform • Work with industrial data systems and historians to integrate and contextualize manufacturing data • Collaborate closely with product, engineering, and machine learning teams to improve platform capabilities • Communicate technical findings clearly to both technical and non-technical stakeholders • Support troubleshooting and root-cause investigations in complex manufacturing environments • Contribute to continuous improvement initiatives across customer manufacturing operations

🎯 Requirements

• 5–7+ years of engineering experience in chemical manufacturing • Strong understanding of plant, pilot, and lab-scale chemical manufacturing processes • Passion and a strong ability to use Python for simulation, modelling, and process analysis • Proven ability to understand and analyze process and lab/DoE data • Strong communication skills with the ability to work directly with customer stakeholders • Proactive problem-solver with a demonstrated track record of driving continuous improvement initiatives • Experience working in cross-functional technical environments • Knowledge of enterprise historians such as OSIsoft PI, DeltaV, Wonderware, GE Proficy, or similar industrial systems is valuable

🏖️ Benefits

• Work on cutting-edge AI applications in chemical manufacturing • Collaborate with a highly technical and mission-driven team • Solve meaningful problems in chemical production • Gain exposure to leading global manufacturing organizations • Opportunity for ownership and impact in a rapidly growing company • Competitive compensation, equity, and benefits package