MLOps & AI Infrastructure Engineer

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About Calaxis by Credartha : The Future of AI is Built on Trust

The $15 trillion promise of artificial intelligence is currently being held hostage by a single, pervasive bottleneck: the quality of domain-specific data. Today, building trustworthy, specialized AI is an artisanal, slow, and prohibitively expensive process reserved for tech giants with billion-dollar budgets.  

Calaxis is on a mission to change this. We are a deep-tech venture building a foundational platform to automate the end-to-end creation of flawless, high-quality datasets for any AI application. Our core innovation is a proprietary, self-improving system that uses a cascade of specialized AI models to systematically validate data for accuracy, compliance, and insight. By solving the data quality problem at its core, we are moving the AI industry from a capital-intensive to a method-intensive paradigm, democratizing the development of high-stakes AI for every vertical.  

What You Will Do:

• Architect the AI Flywheel:

  Design and build the end-to-end MLOps infrastructure for our entire platform. This includes creating automated pipelines for training, validation, deployment, and the crucial feedback loop that makes our system self-improving.  

• Build a Multi-Tenant PaaS:

  Engineer a scalable, secure, and efficient multi-tenant architecture on AWS to support our customer-facing services. This includes managing on-demand compute for customer-driven fine-tuning (SFT & RL) and model deployment jobs.  

• Automate Everything (CI/CD/CT):

  Implement and manage a sophisticated CI/CD/CT (Continuous Integration/Continuous Deployment/Continuous Training) system for our suite of AI models and backend services, ensuring rapid and reliable updates.  

• Optimize LLM Serving:

  Deploy and manage high-throughput, low-latency model serving infrastructure for our internal AI validators and for customer-deployed models.

• Master GPU Resources:

  Develop and manage systems for efficient scheduling, allocation, and monitoring of GPU resources across multiple training and inference workloads.

• Ensure Production-Grade Reliability:

  Implement comprehensive monitoring, logging, and alerting for the entire platform using tools like AWS CloudWatch to ensure high availability and performance.  

• Champion Infrastructure as Code (IaC):

  Use tools like Terraform or AWS CloudFormation to define and manage our infrastructure, ensuring it is version-controlled, repeatable, and scalable. 

Who You Are: The Expert We Need

• Required Qualifications:

• 5+ years of professional experience in a DevOps, SRE, or MLOps role, with a proven track record of building and managing production infrastructure for scalable applications.
• Deep expertise in cloud services, particularly AWS (e.g., EC2, S3, EKS/ECS, Lambda, RDS, API Gateway).  
• Strong, hands-on experience with containerization (Docker) and container orchestration (Kubernetes).
• Proven experience designing and implementing CI/CD pipelines for complex applications (e.g., Jenkins, GitLab CI, AWS CodePipeline).  
• Proficiency in scripting and automation, with strong skills in Python.
• A deep understanding of networking, security, and infrastructure best practices.

• Preferred Qualifications (Bonus Points):

• Direct experience building MLOps pipelines for training and deploying Large Language Models (LLMs).
• Familiarity with LLM-specific serving frameworks (e.g., vLLM, Text Generation Inference, Triton).
• Experience with ML platforms and tools like Kubeflow, MLflow, or Airflow.
• Experience building infrastructure for multi-tenant SaaS or PaaS products.
• Knowledge of advanced fine-tuning techniques like Reinforcement Learning from Human Feedback (RLHF) or Direct Preference Optimization (DPO) and their infrastructure requirements.
• AWS certifications (e.g., DevOps Engineer, Solutions Architect).

Why Join Credartha?

• Build from the Ground Up:

  This is a rare greenfield opportunity to be the founding infrastructure architect for a deep-tech company. Your design choices will have a lasting impact on the entire platform.

• Solve Mission-Critical Challenges:

  You will be working on complex, interesting problems at the intersection of distributed systems, cloud infrastructure, and cutting-edge AI.

• Massive Impact and Ownership:

  You won't be maintaining legacy systems. You will have unparalleled ownership and the opportunity to build the operational foundation of a platform poised to disrupt a $15 trillion market.  

• A Culture of Excellence:

  Join a passionate founding team that values technical rigor, innovation, and collaboration.

• Competitive Compensation:

  We offer a highly competitive salary, significant equity, and comprehensive benefits to ensure you are rewarded for your foundational contributions.

If you are a world-class infrastructure engineer who is excited by the challenge of building the engine for the future of AI, we want to hear from you.

How to Apply:

Please submit your resume and a brief cover letter or message highlighting your experience building scalable, production-grade infrastructure and why you are excited about the mission at Calaxis.