Senior ML/AI Software Engineer
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The role
Lead the design, optimization, and deployment of large-scale automation efforts, leveraging LLMs and generative AI where appropriate.
Build scalable backend services and intelligent automation using Python, Java, LangChain, vector databases, and LLM APIs.
Architect AWS-based workflows and microservices, with Kubernetes-based infrastructure, Terraform, and CI/CD pipelines.
Partner with DevOps, data science, and data engineering to deploy reliable, cost-efficient automation that accelerates innovation.
Own on-call rotations, disaster recovery, monitoring, and AI observability using tools like Datadog, Splunk, or New Relic.
Target distributed systems expertise, MLOps, and multi-modal LLM systems to deliver secure, scalable AI-powered workflows.
Build scalable backend services and intelligent automation using Python, Java, LangChain, vector databases, and LLM APIs.
Architect AWS-based workflows and microservices, with Kubernetes-based infrastructure, Terraform, and CI/CD pipelines.
Partner with DevOps, data science, and data engineering to deploy reliable, cost-efficient automation that accelerates innovation.
Own on-call rotations, disaster recovery, monitoring, and AI observability using tools like Datadog, Splunk, or New Relic.
Target distributed systems expertise, MLOps, and multi-modal LLM systems to deliver secure, scalable AI-powered workflows.
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