AI/ML Ops Engineer, Data & AI Team, Global eCommerce Platform. Total Annual Compensation upto $80,000 (Negotiate)

At Crossian, AI is not an experiment but a core production infrastructure powering a $200M data-driven eCommerce platform on its journey toward a $1B Unicorn.

The Data & AI team designs, deploys, and operates large-scale ML and LLM systems that enable personalization, automation, and intelligent decision-making across global markets. As an AI/ML Ops Engineer, you will be responsible for ensuring these AI platforms run reliably, securely, and cost-effectively on cloud infrastructure—bridging the gap between AI development and real-world production by operating LLM systems, RAG pipelines, and ML workflows at scale, where performance, observability, and uptime directly translate into business impact.

• Deploy, monitor, and maintain ML/AI systems on AWS infrastructure
• Operate and optimize RAG systems, knowledge bases, and vector stores
• Set up LLM monitoring and evaluation pipelines (Langsmith, custom solutions)
• Manage orchestration workflows using Airflow and n8n
• Ensure system reliability, cost efficiency, and scalability

Requirements & Skills

• Bachelor's degree in Computer Science or a related field.
• 3+ years in MLOps, DevOps, or platform engineering
• Strong AWS experience: SageMaker, Lambda, ECS/EKS, S3, Bedrock
• Hands-on with LLM infrastructure: vector DBs, embedding pipelines, RAG deployments
• Experience with workflow orchestration (Airflow, n8n, or similar)
• Experience with LLM observability tools (Langsmith, Langfuse, Weights & Biases)

Preferred

• Proficient in infrastructure-as-code (Terraform, CloudFormation) and CI/CD
• Background operating production chatbot or generative AI systems
• Kubernetes and containerization expertise
• Experience with data visualization tools, such as AWS QuickSight or Grafana.
• Familiarity with the Agile toolset, such as GitLab, Jira, Confluence, and Slack.