Airswift is working in partnership with a pioneering technology company specializing in industrial physics-informed AI solutions, operating at the forefront of physics-informed AI, digital twins, and advanced predictive modeling. 

We are seeking a Physics-AI Application Engineer to support transforming the companies' clients industrial operations, particularly in the oil and gas industry, and across other industrial sectors. The company fosters a collaborative and innovative environment that values technical expertise and a passion for solving complex problems, driving continuous learning and improvement

Primary Responsibilities:

Lead Customer Engagements  Conduct technical discovery sessions with clients’ engineering and operations teams  Identify high impact use cases aligned to business and operational goals  Deliver Proof-of-Value Projects  Design and implement AI modeling and optimization workflows using company software platform and arsenal of Physics-AI capabilities  Rapidly iterate and validate solutions using real customer data and workflows  Quantify and communicate business value through measurable KPIs  Enable Scalable Deployments  Collaborate with software engineering to integrate models into production environments  Develop and deliver technical documentation, training, and customer onboarding materials  Support transition from PoV to full deployment and long-term adoption  Champion Customer Success  Act as a trusted advisor to technical stakeholders and decision-makers  Build consultative relationships that open doors to follow-on projects and expansion  Evangelize Innovation  Represent company at conferences & events, deliver product demos, and contribute to technical publications
Essential Skills & Experience Required:  Minimum Bachelors of Engineering, Applied Physics, or a related field  At least 3 years of prior industry work experience applying modelling and simulation    Proficiency in Python, with experience building and training ML models using common learning frameworks   Strong communication and collaboration skills with the ability to lead client conversations and influence outcomes   Self-starter who thrives in fast-paced, dynamic, and evolving environments   Excited to build, learn, and adapt as part of a mission-driven team
 Desirable Skills and Experience:  Energy industry experience, specifically within conventional oil and gas industry Experience with startups or early-stage development projects   Familiarity with modeling & simulation platforms like AspenTech, Siemens, or Ansys  Understanding of the Machine Learning model lifecycle from development to deployment  Prior experience in technical consulting, solution delivery, or pre-sales engineering  Why should you be interested in this opportunity?  Company are pioneers and recognized global leaders in AI Adoption with world-class expert team  The platform is commercial, scalable, and unique with an innovative modelling approach Opportunity to have real collaborative impact, with proven career growth and equity in the business