Lexsi Labs is dedicated to building the foundations for Safe Superintelligence by integrating alignment theory, interpretability science, and agentic autonomy into a cohesive research framework. Their mission is to create AI systems that are not only intelligent but also aligned with human values, ensuring safety and accountability as they scale. The company develops a comprehensive research stack that includes specialized foundation models and tools like TabTune, which streamline the deployment and fine-tuning of tabular data models, making AI more interpretable and trustworthy. With a focus on open-source contributions, Lexsi Labs aims to lead in the AI research space, providing practical solutions for complex challenges in AI deployment.
Lexsi Labs is dedicated to building the foundations for Safe Superintelligence by integrating alignment theory, interpretability science, and agentic autonomy into a cohesive research framework. Their mission is to create AI systems that are not only intelligent but also aligned with human values, ensuring safety and accountability as they scale. The company develops a comprehensive research stack that includes specialized foundation models and tools like TabTune, which streamline the deployment and fine-tuning of tabular data models, making AI more interpretable and trustworthy. With a focus on open-source contributions, Lexsi Labs aims to lead in the AI research space, providing practical solutions for complex challenges in AI deployment.
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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.
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.
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
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.
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.
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.
