{"schemaVersion":"jobsearcher.job.v1","id":"3315f79d7dcc9adeb4bce67f","url":"https://jobsearcher.com/jobs/3315f79d7dcc9adeb4bce67f","canonicalUrl":"https://jobsearcher.com/jobs/3315f79d7dcc9adeb4bce67f","title":"Backend Python AI Developer","description":"We are looking for a hands-on Python AI Engineer to build and enhance an enterprise knowledge platform evolving from traditional RAG-based chatbots toward advanced, agent-driven knowledge systems.Mandatory Technical SkillsPython: Strong hands-on development experience in platform engineering, automation, or backend infrastructure.CLI Development: Experience building command-line tools using Python, Go, or Rust.AI Frameworks: Hands-on experience with LangChain and LangGraph.Retrieval Systems: Understanding of RAG pipelines, embeddings, vector search, and pgvector.Containers & CI/CD: Strong experience with Docker and GitHub Actions; familiarity with Kubernetes-based workflows and Helm.Observability: Experience with metrics, distributed tracing, dashboards, logging, alerting, and troubleshooting production issues.Distributed Systems: Ability to diagnose failures and improve reliability, performance, and scalability across interconnected services.Data Pipelines: Experience with ingestion, ETL, content processing, or similar large-scale pipelines.LLM Evaluation: Understanding of evaluation frameworks, quality measurement, and regression testing for AI-powered applications.Key ResponsibilitiesDevelop and maintain Python-based backend services and platform components.Build and optimize RAG pipelines, knowledge ingestion workflows, and hybrid retrieval capabilities.Implement AI agent workflows using LangChain and LangGraph.Develop Python-based CLI tools for automation, platform operations, and troubleshooting.Improve retrieval accuracy, response grounding, citation quality, and LLM evaluation.Build and maintain containerized deployments and automated CI/CD pipelines.","company":"Itech Us","rawCompany":"itech us","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-11-06T07:32:25.507Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Backend Python AI Developer","description":"We are looking for a hands-on Python AI Engineer to build and enhance an enterprise knowledge platform evolving from traditional RAG-based chatbots toward advanced, agent-driven knowledge systems.Mandatory Technical SkillsPython: Strong hands-on development experience in platform engineering, automation, or backend infrastructure.CLI Development: Experience building command-line tools using Python, Go, or Rust.AI Frameworks: Hands-on experience with LangChain and LangGraph.Retrieval Systems: Understanding of RAG pipelines, embeddings, vector search, and pgvector.Containers & CI/CD: Strong experience with Docker and GitHub Actions; familiarity with Kubernetes-based workflows and Helm.Observability: Experience with metrics, distributed tracing, dashboards, logging, alerting, and troubleshooting production issues.Distributed Systems: Ability to diagnose failures and improve reliability, performance, and scalability across interconnected services.Data Pipelines: Experience with ingestion, ETL, content processing, or similar large-scale pipelines.LLM Evaluation: Understanding of evaluation frameworks, quality measurement, and regression testing for AI-powered applications.Key ResponsibilitiesDevelop and maintain Python-based backend services and platform components.Build and optimize RAG pipelines, knowledge ingestion workflows, and hybrid retrieval capabilities.Implement AI agent workflows using LangChain and LangGraph.Develop Python-based CLI tools for automation, platform operations, and troubleshooting.Improve retrieval accuracy, response grounding, citation quality, and LLM evaluation.Build and maintain containerized deployments and automated CI/CD pipelines.","datePosted":"2026-11-06T07:32:25.507Z","dateModified":"2026-11-06T07:32:25.507Z","hiringOrganization":{"@type":"Organization","name":"Itech Us","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3315f79d7dcc9adeb4bce67f"},"url":"https://jobsearcher.com/jobs/3315f79d7dcc9adeb4bce67f"}}