{"schemaVersion":"jobsearcher.job.v1","id":"298f5097951304868e7437fc","url":"https://jobsearcher.com/jobs/298f5097951304868e7437fc","canonicalUrl":"https://jobsearcher.com/jobs/298f5097951304868e7437fc","title":"Python Developer","description":"About the RoleWe are seeking an AI Infrastructure Engineer (Python) to support, scale, and enhance a production AI and data platform. This role sits at the intersection of AI infrastructure, cloud engineering, and agent-based systems.You will be responsible for ensuring the reliability, scalability, and performance of AI-driven systems operating in production environments across multi-cloud platforms (Azure and GCP). This is not a modeling or research role it's focused on building and maintaining the infrastructure that powers AI systems at scale.This is an excellent opportunity for someone with strong foundational engineering skills who is eager to deepen their expertise in AI platforms and cloud-native systems.What You’ll DoSystems Engineering & Agent OperationsDevelop, maintain, and optimize production-grade Python code supporting data pipelines, agent workflows, and platform toolingOwn the full lifecycle of Python services (containerization, deployment, versioning, runtime management)Manage environment configurations, secrets injection, and dependency management across containerized servicesBuild internal Python tooling and shared libraries to accelerate development workflowsTroubleshoot production issues end-to-end across application and infrastructure layersAI Platform & ScalingOperate and scale AI-driven agent systems in production environmentsEnsure high availability, performance, and resilience under loadSupport integrations between AI agents and data platformsBuild observability tools (logging, monitoring, tracing, alerting)Implement auto-scaling strategies for containerized workloadsContribute to evaluation frameworks and quality standards for AI systemsInfrastructure & Cloud OperationsDevelop and manage infrastructure using Terraform across Azure and GCPManage cloud services including container registries, identity systems, secrets management, and networkingDeploy and maintain workflow orchestration tools (e.g., Prefect)Maintain CI/CD pipelines and release workflowsDocument systems, workflows, and data lineage with clear runbooksWhat We’re Looking ForRequired3–5 years of experience in Software Engineering, DevOps, or MLOpsStrong Python skills with experience building production systemsExperience with Docker and containerized applications in cloud environments (Azure and/or GCP)Hands-on experience with TerraformExperience with secrets management tools and secure configuration practicesFamiliarity with CI/CD pipelines and Git-based workflowsStrong troubleshooting and systems-thinking mindsetInterest in AI systems and infrastructurePreferredExperience with Azure services (Container Apps, ACR, Key Vault, Managed Identities, VNets)Experience with GCP services (Cloud Run, GKE, Vertex AI, IAM, Secret Manager)Familiarity with workflow orchestration tools (e.g., Prefect)Exposure to AI/agent frameworks (e.g., LangChain, MCP)Experience with observability tools (e.g., MLflow, Langfuse)Experience with data tools such as dbt or SnowflakeFamiliarity with multi-cloud environments","company":"Engage Partners","rawCompany":"engage partners","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-05-14T05:57:23.195Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Developer","description":"About the RoleWe are seeking an AI Infrastructure Engineer (Python) to support, scale, and enhance a production AI and data platform. This role sits at the intersection of AI infrastructure, cloud engineering, and agent-based systems.You will be responsible for ensuring the reliability, scalability, and performance of AI-driven systems operating in production environments across multi-cloud platforms (Azure and GCP). This is not a modeling or research role it's focused on building and maintaining the infrastructure that powers AI systems at scale.This is an excellent opportunity for someone with strong foundational engineering skills who is eager to deepen their expertise in AI platforms and cloud-native systems.What You’ll DoSystems Engineering & Agent OperationsDevelop, maintain, and optimize production-grade Python code supporting data pipelines, agent workflows, and platform toolingOwn the full lifecycle of Python services (containerization, deployment, versioning, runtime management)Manage environment configurations, secrets injection, and dependency management across containerized servicesBuild internal Python tooling and shared libraries to accelerate development workflowsTroubleshoot production issues end-to-end across application and infrastructure layersAI Platform & ScalingOperate and scale AI-driven agent systems in production environmentsEnsure high availability, performance, and resilience under loadSupport integrations between AI agents and data platformsBuild observability tools (logging, monitoring, tracing, alerting)Implement auto-scaling strategies for containerized workloadsContribute to evaluation frameworks and quality standards for AI systemsInfrastructure & Cloud OperationsDevelop and manage infrastructure using Terraform across Azure and GCPManage cloud services including container registries, identity systems, secrets management, and networkingDeploy and maintain workflow orchestration tools (e.g., Prefect)Maintain CI/CD pipelines and release workflowsDocument systems, workflows, and data lineage with clear runbooksWhat We’re Looking ForRequired3–5 years of experience in Software Engineering, DevOps, or MLOpsStrong Python skills with experience building production systemsExperience with Docker and containerized applications in cloud environments (Azure and/or GCP)Hands-on experience with TerraformExperience with secrets management tools and secure configuration practicesFamiliarity with CI/CD pipelines and Git-based workflowsStrong troubleshooting and systems-thinking mindsetInterest in AI systems and infrastructurePreferredExperience with Azure services (Container Apps, ACR, Key Vault, Managed Identities, VNets)Experience with GCP services (Cloud Run, GKE, Vertex AI, IAM, Secret Manager)Familiarity with workflow orchestration tools (e.g., Prefect)Exposure to AI/agent frameworks (e.g., LangChain, MCP)Experience with observability tools (e.g., MLflow, Langfuse)Experience with data tools such as dbt or SnowflakeFamiliarity with multi-cloud environments","datePosted":"2026-05-14T05:57:23.195Z","dateModified":"2026-05-14T05:57:23.195Z","hiringOrganization":{"@type":"Organization","name":"Engage Partners","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"298f5097951304868e7437fc"},"url":"https://jobsearcher.com/jobs/298f5097951304868e7437fc"}}