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Design, implement, and maintain scalable backend systems and APIs; build cloud infrastructure (preferably GCP) using Terraform; operate containerized workloads with Kubernetes; ensure reliability, security, and performance; participate in on-call rotations, architecture discussions, and cross-functional delivery.

As a Forward Deployed Engineer, you will implement Physics AI solutions for clients, involving integration, optimizations, and customer support while collaborating with engineering teams.

As a Forward Deployment Engineer, you will lead the integration of the Physics AI platform, providing technical guidance and support to customers in aerospace and automotive sectors, and optimizing solutions for their needs.

The LLM Engineer will develop AI systems, optimize RAG pipelines, manage memory/context, fine-tune LLMs, and integrate with physics platforms.

As a Forward Deployed Engineer, you will integrate and deploy the Physics AI platform at customer sites, providing technical guidance and bespoke solutions.

Responsible for transitioning accounting in-house, managing revenue recognition, integrating financial systems, and preparing for audits. Requires hands-on approach and technical expertise in SaaS accounting.

Responsible for architecting and developing scalable backend systems, leading a development team, implementing best practices, and enhancing cloud infrastructure.

The role involves leading pre-sales engagements, managing technical evaluations, building demos, contributing to R&D in AI/ML for structural mechanics, and presenting capabilities to customers.

As a Solutions Engineer, you will work with customers to adopt Physics AI, lead technical evaluations, and demonstrate platform capabilities while designing solutions for CAE workflows.

As a Solutions Engineer, you'll run technical evaluations, build demos, contribute to R&D, and present AI capabilities while collaborating with account executives.