AryaXAI offers one of the most reliable safe and performant platforms for building Expert AI Agents Models for mission-critical use cases We stand at the forefront of AI innovation revolutionizing AI for mission-critical businesses by solving the most critical challenges in AI interpretability alignment and AI risk Through our research labs in Mumbai Paris and London we produce state-of-the-art techniques models and open-source tools The platform integrates these components and scales them to the users and usage as needed We are ardent supporters of OSS and we not only open-source our research but also integrate multiple OSS to deliver the scale At AryaXAI everyone contributes hands-on to our mission in a flat organizational structure that values curiosity initiative and exceptional performance Qualifications We are now looking for highly experienced Senior Engineering Managers who can lead the platform scale and components and make it the industry best in the relevant components Ideal candidates should have at least 5 years of experience working with products that require heavy engineering and scaling requirements Preference is from a product background with strong discipline around the stack and PR quality 5 years of experience in building and deploying enterprise-grade machine learning infra SaaS software data analytics solutions or online platforms 2 years of experience in building LLM infra or high-volume AI inference components 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-premises 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 the ability to auto-scale the systems through delivering the essential SLAs in production during inference 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 Robust 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 Sr Engineering Manager 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 infrastructure 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 inference 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 inference speed and latencies to serve multiple AI models - LLMs DL models classic ML models etc You ll manage product development activities including scrum reviews and productivity optimization across engineering as well as collaborate with R D data science and front-end teams 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 and offers the best Life insurance plans A great team Micro-entrepreneurial tasks and responsibilities Career development and leadership opportunities