{"schemaVersion":"jobsearcher.job.v1","id":"fd78a5d6bf0aa78cfac9ddaf","url":"https://jobsearcher.com/jobs/fd78a5d6bf0aa78cfac9ddaf","canonicalUrl":"https://jobsearcher.com/jobs/fd78a5d6bf0aa78cfac9ddaf","title":"Python AI Engineer","description":"Python AI EngineerSummary: Our + years of professional software engineering experience and strong expertise in Python, distributed systems, microservices, and AI/LLM applications. The ideal candidate will build scalable backend services, integrate AI capabilities and tool-based interfaces, and develop production-ready solutions using modern cloud-native technologies. RequiredQualifications:- 6+ years of professional software engineering experience with strong Python expertise.- Proven experience designing and operating microservices, REST APIs, and distributed systems.- Experience building MCP servers, AI service integrations, or tool-based interfaces for LLM applications.- Proficiency with modern Python frameworks such as FastAPI.- Strong understanding of scalable architecture, asynchronous processing, caching, messaging, and fault-tolerant design.- Experience with SQL, data modeling, Git, automated testing, and CI/CD.- Hands-on experience with Docker, Kubernetes, and AWS, Google Cloud, or Microsoft Azure.- Experience with logging, metrics, distributed tracing, and production troubleshooting.- Familiarity with LLM applications, RAG, embeddings, vector databases, and AI orchestration frameworks.- Exposure to technologies such as Kafka, Spark, Airflow, MLflow, Kubeflow, or Argo Workflows.PreferredQualifications:- Experience developing agentic AI and tool-calling workflows.- Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar AI orchestration frameworks.- Experience with cloud-native AI services and managed vector/search platforms.- Knowledge of distributed system patterns, event-driven architecture, and asynchronous messaging.","company":"Omega Hires","rawCompany":"omega hires","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-10-15T12:42:54.775Z","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":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"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 AI Engineer","description":"Python AI EngineerSummary: Our + years of professional software engineering experience and strong expertise in Python, distributed systems, microservices, and AI/LLM applications. The ideal candidate will build scalable backend services, integrate AI capabilities and tool-based interfaces, and develop production-ready solutions using modern cloud-native technologies. RequiredQualifications:- 6+ years of professional software engineering experience with strong Python expertise.- Proven experience designing and operating microservices, REST APIs, and distributed systems.- Experience building MCP servers, AI service integrations, or tool-based interfaces for LLM applications.- Proficiency with modern Python frameworks such as FastAPI.- Strong understanding of scalable architecture, asynchronous processing, caching, messaging, and fault-tolerant design.- Experience with SQL, data modeling, Git, automated testing, and CI/CD.- Hands-on experience with Docker, Kubernetes, and AWS, Google Cloud, or Microsoft Azure.- Experience with logging, metrics, distributed tracing, and production troubleshooting.- Familiarity with LLM applications, RAG, embeddings, vector databases, and AI orchestration frameworks.- Exposure to technologies such as Kafka, Spark, Airflow, MLflow, Kubeflow, or Argo Workflows.PreferredQualifications:- Experience developing agentic AI and tool-calling workflows.- Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar AI orchestration frameworks.- Experience with cloud-native AI services and managed vector/search platforms.- Knowledge of distributed system patterns, event-driven architecture, and asynchronous messaging.","datePosted":"2026-10-15T12:42:54.775Z","dateModified":"2026-10-15T12:42:54.775Z","hiringOrganization":{"@type":"Organization","name":"Omega Hires","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fd78a5d6bf0aa78cfac9ddaf"},"url":"https://jobsearcher.com/jobs/fd78a5d6bf0aa78cfac9ddaf"}}