{"schemaVersion":"jobsearcher.job.v1","id":"ec88dafdc946b8d5d9f54b5c","url":"https://jobsearcher.com/jobs/ec88dafdc946b8d5d9f54b5c","canonicalUrl":"https://jobsearcher.com/jobs/ec88dafdc946b8d5d9f54b5c","title":"Python AI Platform Engineer","description":"Role Overview:This role involves designing, developing, and maintaining enterprise knowledge-base infrastructure and AI-enabled backend services. The focus is on building and optimizing Generative AI applications, RAG pipelines, and agent workflows using Python, FastAPI, and cloud-native technologies.Key Responsibilities:Design, develop, maintain and evolve enterprise knowledge-base infrastructure and AI-enabled backend services using Python and FastAPI.Build and optimize ingestion, chunking, embedding, vector indexing, semantic retrieval, reranking, context construction and grounded RAG pipelines.Develop LangChain and/or LangGraph-based agent workflows and reusable agent-runtime capabilities including tool calling, state management, retries, validation, guardrails and human approval where required.Integrate LLMs and enterprise knowledge sources securely through reusable APIs and services; use MCP or similar agent-tool integration patterns where appropriate.Implement PostgreSQL/vector database persistence, metadata filtering and retrieval patterns optimized for accuracy, latency and scale.Containerize services with Docker and deploy/manage them on Kubernetes.Build and maintain CI/CD pipelines using GitHub Actions, Jenkins or equivalent tools, including automated testing and deployment controls.Implement logging, tracing, metrics, dashboards and alerts using OpenTelemetry, Prometheus, Grafana and/or enterprise monitoring tools.Diagnose and resolve issues across APIs, retrieval pipelines, agent execution, databases, containers and distributed infrastructure.Improve performance, reliability, security, scalability and cost efficiency of production AI services.Establish automated tests and evaluation approaches for APIs, retrieval quality, grounded responses and agent behavior.Apply secure coding, access controls, audit logging, prompt/output validation and responsible-AI practices.Partner with product, architecture, data, security, DevOps and application teams to translate business needs into reusable knowledge and AI platform capabilities.Document architecture decisions, API contracts, operational procedures and knowledge-platform standards.Participate in Agile delivery, code reviews, technical design discussions, mentoring and production support.Required Skills:Strong hands-on experience with Python 3.11+ and production backend development.Strong experience building secure, scalable REST APIs and microservices using FastAPI; familiarity with Flask/Django is useful.Strong understanding of asynchronous Python, API design, validation, error handling, authentication/authorization, and enterprise integration patterns.Hands-on production experience building enterprise Generative AI applications using LLMs, RAG, semantic search, embeddings, and vector databases; ideally 2+ years of recent GenAI/RAG experience.Strong hands-on experience with LangChain and/or LangGraph for agentic workflows, orchestration, tool calling, multi-step execution, and controlled agent runtimes.Experience designing knowledge ingestion, document chunking, embedding generation, metadata enrichment, retrieval/reranking, context assembly, grounded generation, and response validation pipelines.Experience with PostgreSQL and vector search.Strong understanding of prompt engineering, AI agents, guardrails, human-in-the-loop patterns, AI evaluation, responsible AI, and secure enterprise data access.Strong hands-on experience with Docker and Kubernetes for production AI services.Experience with Git and CI/CD pipelines using GitHub Actions, Jenkins, or equivalent tools for automated build, test, and deployment.Experience with production monitoring and observability using OpenTelemetry, Prometheus, Grafana, Splunk/ELK, or equivalent tools.Ability to troubleshoot performance, reliability, retrieval quality, API, infrastructure, and production issues across distributed AI systems.Strong analytical, problem-solving, documentation, and cross-functional communication skills.Qualifications:5-6 years of relevant experience.Preferred Skills:LangGraph for stateful agent orchestration and reusable agent-runtime patterns.PostgreSQL pgvector or equivalent production vector-database experience.Model Context Protocol (MCP), tool integration protocols, or reusable agent-tool interfaces.OpenTelemetry and production AI/agent observability; GitHub Actions experience.Experience with automated RAG/agent evaluation, regression datasets, retrieval-quality metrics, and grounded-response validation.","company":"Prophecy Technologies","rawCompany":"prophecy technologies","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-10-16T14:14:20.881Z","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 Platform Engineer","description":"Role Overview:This role involves designing, developing, and maintaining enterprise knowledge-base infrastructure and AI-enabled backend services. The focus is on building and optimizing Generative AI applications, RAG pipelines, and agent workflows using Python, FastAPI, and cloud-native technologies.Key Responsibilities:Design, develop, maintain and evolve enterprise knowledge-base infrastructure and AI-enabled backend services using Python and FastAPI.Build and optimize ingestion, chunking, embedding, vector indexing, semantic retrieval, reranking, context construction and grounded RAG pipelines.Develop LangChain and/or LangGraph-based agent workflows and reusable agent-runtime capabilities including tool calling, state management, retries, validation, guardrails and human approval where required.Integrate LLMs and enterprise knowledge sources securely through reusable APIs and services; use MCP or similar agent-tool integration patterns where appropriate.Implement PostgreSQL/vector database persistence, metadata filtering and retrieval patterns optimized for accuracy, latency and scale.Containerize services with Docker and deploy/manage them on Kubernetes.Build and maintain CI/CD pipelines using GitHub Actions, Jenkins or equivalent tools, including automated testing and deployment controls.Implement logging, tracing, metrics, dashboards and alerts using OpenTelemetry, Prometheus, Grafana and/or enterprise monitoring tools.Diagnose and resolve issues across APIs, retrieval pipelines, agent execution, databases, containers and distributed infrastructure.Improve performance, reliability, security, scalability and cost efficiency of production AI services.Establish automated tests and evaluation approaches for APIs, retrieval quality, grounded responses and agent behavior.Apply secure coding, access controls, audit logging, prompt/output validation and responsible-AI practices.Partner with product, architecture, data, security, DevOps and application teams to translate business needs into reusable knowledge and AI platform capabilities.Document architecture decisions, API contracts, operational procedures and knowledge-platform standards.Participate in Agile delivery, code reviews, technical design discussions, mentoring and production support.Required Skills:Strong hands-on experience with Python 3.11+ and production backend development.Strong experience building secure, scalable REST APIs and microservices using FastAPI; familiarity with Flask/Django is useful.Strong understanding of asynchronous Python, API design, validation, error handling, authentication/authorization, and enterprise integration patterns.Hands-on production experience building enterprise Generative AI applications using LLMs, RAG, semantic search, embeddings, and vector databases; ideally 2+ years of recent GenAI/RAG experience.Strong hands-on experience with LangChain and/or LangGraph for agentic workflows, orchestration, tool calling, multi-step execution, and controlled agent runtimes.Experience designing knowledge ingestion, document chunking, embedding generation, metadata enrichment, retrieval/reranking, context assembly, grounded generation, and response validation pipelines.Experience with PostgreSQL and vector search.Strong understanding of prompt engineering, AI agents, guardrails, human-in-the-loop patterns, AI evaluation, responsible AI, and secure enterprise data access.Strong hands-on experience with Docker and Kubernetes for production AI services.Experience with Git and CI/CD pipelines using GitHub Actions, Jenkins, or equivalent tools for automated build, test, and deployment.Experience with production monitoring and observability using OpenTelemetry, Prometheus, Grafana, Splunk/ELK, or equivalent tools.Ability to troubleshoot performance, reliability, retrieval quality, API, infrastructure, and production issues across distributed AI systems.Strong analytical, problem-solving, documentation, and cross-functional communication skills.Qualifications:5-6 years of relevant experience.Preferred Skills:LangGraph for stateful agent orchestration and reusable agent-runtime patterns.PostgreSQL pgvector or equivalent production vector-database experience.Model Context Protocol (MCP), tool integration protocols, or reusable agent-tool interfaces.OpenTelemetry and production AI/agent observability; GitHub Actions experience.Experience with automated RAG/agent evaluation, regression datasets, retrieval-quality metrics, and grounded-response validation.","datePosted":"2026-10-16T14:14:20.881Z","dateModified":"2026-10-16T14:14:20.881Z","hiringOrganization":{"@type":"Organization","name":"Prophecy Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ec88dafdc946b8d5d9f54b5c"},"url":"https://jobsearcher.com/jobs/ec88dafdc946b8d5d9f54b5c"}}