On the AI Systems Engineer team at procedura.org, you'll develop and maintain AI systems, architect scalable backend infrastructure, integrate agent workflows, and build interactive features for spatial data navigation across simulations, interactive environments, and decision support. You will design algorithms, optimize performance, and collaborate with cross-functional teams to advance scalable, reliable, and precise procedural AI solutions spanning backend, orchestration, and XR front-end interfaces.
Commitments
This is a full-time, entry-level AI Systems Engineer role based in the New York City Metropolitan Area with hybrid work flexibility.
Responsibilities
The company specializes in deterministic state architectures and agent workflows to enable simulations, interactive environments, and decision support.
Its platform spans backend infrastructure, agent orchestration, and front-end XR interfaces for managing large-scale spatial datasets.
Procedura’s solutions are designed for scalability, reliability, and precision in both digital and practical deployments.
Responsibilities include developing and maintaining the company’s AI systems, architecting scalable backend infrastructures, integrating agent workflows, and creating interactive features for spatial data navigation.
Additional tasks involve designing algorithms, optimizing performance, collaborating with cross-functional teams, and contributing to the innovation of procedural AI solutions.
Commitments
Role Description This is a full-time AI Systems Engineer role based in the New York City Metropolitan Area with hybrid work flexibility.
Not Met Priorities
What still needs stronger evidence
Requirements
Proficiency in machine learning, deep learning, and reinforcement learning models
Strong programming skills in languages such as Python, C++, or Java
Experience with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker or Kubernetes
Knowledge of backend system design, data structures, algorithms, and state architectures
Familiarity with agent orchestration systems and procedural AI techniques
Competence with front-end technologies including spatial computing or XR interfaces
Strong problem-solving abilities and capacity to work collaboratively within interdisciplinary teams
Preferred Skills
Prior experience in AI-driven systems or operational intelligence as a plus
Education
(Not required)
– Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred
Company Description Procedura Corp is a product and engineering company creating human-assisted procedural AI systems to translate intent into structured, persistent outcomes across software, spatial computing, and real-world environments. The company specializes in deterministic state architectures and agent workflows to enable simulations, interactive environments, and decision support. Its platform spans backend infrastructure, agent orchestration, and front-end XR interfaces for managing large-scale spatial datasets. Procedura’s solutions are designed for scalability, reliability, and precision in both digital and practical deployments. Role Description This is a full-time AI Systems Engineer role based in the New York City Metropolitan Area with hybrid work flexibility. Responsibilities include developing and maintaining the company’s AI systems, architecting scalable backend infrastructures, integrating agent workflows, and creating interactive features for spatial data navigation. Additional tasks involve designing algorithms, optimizing performance, collaborating with cross-functional teams, and contributing to the innovation of procedural AI solutions. Qualifications Proficiency in machine learning, deep learning, and reinforcement learning models Strong programming skills in languages such as Python, C++, or Java Experience with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker or Kubernetes Knowledge of backend system design, data structures, algorithms, and state architectures Familiarity with agent orchestration systems and procedural AI techniques Competence with front-end technologies including spatial computing or XR interfaces Strong problem-solving abilities and capacity to work collaboratively within interdisciplinary teams Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred Prior experience in AI-driven systems or operational intelligence as a plus