AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety.

Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance.

Qualifications:

This is a full-time remote role for a Principal Engineering Manager at AryaXAI. The Principal Engineering Manager will be responsible for engineering management, team leadership, software development, project management, and integration.

• 7+ years of experience in building and deploying enterprise-grade machine learning infra, SaaS software or data analytics solutions or online platforms
• Academic degree in Computer Science, Engineering, or a related field
• Strong background in Python programming, Distributed computing, Engineering, big data processing, and cloud computing (AWS, Azure, GCP, On-Premise)
• Experience in optimizing, scaling, and reliability of large-scale systems for various data modalities and AI models.
• Strong fundamentals and discipline in CI/CD pipelines, containerization (Docker, Kubernetes), and multi-cloud environments.
• Proven track record in product management in designing and delivering complex, high-performance solutions for large-scale enterprise customers without faults and ability to auto-scale the systems through delivering the essential SLAs in production during inferencing.
• Programming skills - expert in Python and solid coding practices
• Data Engineering - expert in MongoDB and strong fundamentals in data lakes, data storage, ETL pipelines, and building real-time data pipelines.
• Strong material skills, excellent communication, collaboration, and leadership skills with the ability to lead teams, mentor juniors, and work with other teams.
• Strong system architecture background that supports scaling in regulated industries.
• Experience in scaling AI/ML production systems using classic ML models, LLMs, and Deep Learning models on traditional hardware and high-performance computing.

Roles and responsibilities:

As Principal Engineer, you'll be the main SPOC for all the engineering efforts behind the AryaXAI platform, serving customers in SaaS and on-premise modes and scaling multiple AI models in startups, SMEs, and highly regulated industries.

• You'll be responsible for designing, modifying, and scaling architecture, as well as designing and implementing scalable infra for AI/ML solutions and data engineering.
• You'll be the SPOC with the R&D team collecting the productized components and adding and scaling these components on the platform.
• Architect and scale AI inferencing platform and related components for all data modalities like Tabular, text, image, video, etc.
• You'll be responsible for designing the AI Ops and AI Inferencing Ops - model building, data preprocessing, model inferencing, explainability, monitoring, alignment, risk management components.
• You'll work on running multiple optimizations on inferencing speed and latencies to serve multiple AI models - LLMs, DL models, classic ML models, etc.
• You'll be the SPOC with the pre-sales and solutions team to provide necessary documentation and specs and collect the requirements for enterprise deployments.
• You'll manage product development activities like scrum, reviewing the scrums, and optimizing productivity across teams - engineering, data science, and front end.
• You'll mentor and guide juniors and middle managers.
• You'll continuously improve the standards of the product, as well as the architecture, culture, and experience.

What you’ll get:

• Highly competitive and meaningful compensation package
• One of the best health care plans that covers not only you but also your family
• A great team
• Micro-entrepreneurial tasks and responsibilities.
• Career development and leadership opportunities