{"schemaVersion":"jobsearcher.job.v1","id":"8ff091a9428020018a4c5eb0","url":"https://jobsearcher.com/jobs/8ff091a9428020018a4c5eb0","canonicalUrl":"https://jobsearcher.com/jobs/8ff091a9428020018a4c5eb0","title":"Lead Python AI Engineer","description":"About the CompanyOur client is a global technology and digital engineering organization that partners with leading businesses to design, develop, and deliver innovative technology solutions. With a strong focus on cloud engineering, artificial intelligence, and digital transformation, the company helps organizations solve complex technical challenges and build scalable, future-ready platforms.\r\nAbout the RoleWe are seeking an experienced Lead Python AI Engineer to design and build scalable, AI-powered backend services, APIs, and intelligent agentic workflows. In this role, you will bridge traditional backend engineering with modern AI technologies, integrating Large Language Models (LLMs), vector databases, and external tools into secure, reliable, production-grade systems. The ideal candidate combines strong Python and distributed systems expertise with hands-on experience in LLM orchestration, Retrieval-Augmented Generation (RAG), and agentic AI frameworks.\r\nKey ResponsibilitiesDesign, develop, and maintain scalable backend API services and advanced LLM orchestration layers.\r\nTake end-to-end ownership of API contracts, service reliability, performance, and graceful failure handling.\r\nBuild and optimize RAG pipelines, including document ingestion, chunking, embeddings, and retrieval strategies.\r\nDevelop reusable agentic workflows and orchestration frameworks using tools such as LangChain, LangGraph, and LlamaIndex.\r\nIntegrate LLMs with internal systems, vector databases, and external tools.\r\nImplement AI evaluation, monitoring, observability, fallback mechanisms, and cost optimization strategies.\r\nEnsure enterprise-grade security, data privacy, authentication, and comprehensive testing across backend services.\r\nContribute to technical architecture, engineering standards, and best practices.\r\nCollaborate with frontend, data engineering, and infrastructure teams to deliver scalable AI solutions.\r\nRequired Skills & Experience7+ years of backend engineering experience, with strong expertise in Python, microservices, and distributed systems.\r\nProven experience designing and developing scalable, cloud-native APIs and backend services.\r\nHands-on experience with AWS, Docker, ECS/EKS, and RESTful APIs.\r\n1-2+ years of production experience integrating AI SDKs such as OpenAI, Anthropic/Claude, AWS Bedrock, or similar technologies.\r\nPractical experience with agentic AI frameworks, including LangChain, LangGraph, or LlamaIndex.\r\nExperience developing and optimizing RAG pipelines, vector databases, embeddings, and retrieval systems.\r\nFamiliarity with vector search technologies such as Amazon Kendra or OpenSearch.\r\nUnderstanding of AI observability and evaluation tools such as LangSmith, Langfuse, or Arize.\r\nStrong knowledge of secure coding practices, authentication, authorization, and API security.\r\nAbility to design reliable, maintainable, and production-ready AI applications.\r\nNice to Have Experience with React and TypeScript.\r\nExperience deploying and scaling applications within AWS EKS environments.\r\nFamiliarity with Model Context Protocol (MCP) and agent interoperability.\r\nUnderstanding of Identity and Access Management (IAM) and Customer Identity and Access Management (CIAM).\r\nAdditional programming experience with Java, Node.js, or Go.\r\nWhy Consider This Opportunity?This is an opportunity to work on advanced AI engineering initiatives, building intelligent systems that go beyond experimentation and into real-world production environments. You will have the opportunity to influence technical architecture, develop reusable AI frameworks, and collaborate with experienced engineering teams on complex, large-scale technology solutions. If you are a hands-on Python engineer with a passion for building reliable, scalable AI systems, we'd love to hear from you.\r\nSalt is acting as an Employment Agency in relation to this vacancy.#J-18808-Ljbffr","company":"Salt","rawCompany":"salt","city":"Atlanta","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-11-06T01:43:13.382Z","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":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Lead Python AI Engineer","description":"About the CompanyOur client is a global technology and digital engineering organization that partners with leading businesses to design, develop, and deliver innovative technology solutions. With a strong focus on cloud engineering, artificial intelligence, and digital transformation, the company helps organizations solve complex technical challenges and build scalable, future-ready platforms.\r\nAbout the RoleWe are seeking an experienced Lead Python AI Engineer to design and build scalable, AI-powered backend services, APIs, and intelligent agentic workflows. In this role, you will bridge traditional backend engineering with modern AI technologies, integrating Large Language Models (LLMs), vector databases, and external tools into secure, reliable, production-grade systems. The ideal candidate combines strong Python and distributed systems expertise with hands-on experience in LLM orchestration, Retrieval-Augmented Generation (RAG), and agentic AI frameworks.\r\nKey ResponsibilitiesDesign, develop, and maintain scalable backend API services and advanced LLM orchestration layers.\r\nTake end-to-end ownership of API contracts, service reliability, performance, and graceful failure handling.\r\nBuild and optimize RAG pipelines, including document ingestion, chunking, embeddings, and retrieval strategies.\r\nDevelop reusable agentic workflows and orchestration frameworks using tools such as LangChain, LangGraph, and LlamaIndex.\r\nIntegrate LLMs with internal systems, vector databases, and external tools.\r\nImplement AI evaluation, monitoring, observability, fallback mechanisms, and cost optimization strategies.\r\nEnsure enterprise-grade security, data privacy, authentication, and comprehensive testing across backend services.\r\nContribute to technical architecture, engineering standards, and best practices.\r\nCollaborate with frontend, data engineering, and infrastructure teams to deliver scalable AI solutions.\r\nRequired Skills & Experience7+ years of backend engineering experience, with strong expertise in Python, microservices, and distributed systems.\r\nProven experience designing and developing scalable, cloud-native APIs and backend services.\r\nHands-on experience with AWS, Docker, ECS/EKS, and RESTful APIs.\r\n1-2+ years of production experience integrating AI SDKs such as OpenAI, Anthropic/Claude, AWS Bedrock, or similar technologies.\r\nPractical experience with agentic AI frameworks, including LangChain, LangGraph, or LlamaIndex.\r\nExperience developing and optimizing RAG pipelines, vector databases, embeddings, and retrieval systems.\r\nFamiliarity with vector search technologies such as Amazon Kendra or OpenSearch.\r\nUnderstanding of AI observability and evaluation tools such as LangSmith, Langfuse, or Arize.\r\nStrong knowledge of secure coding practices, authentication, authorization, and API security.\r\nAbility to design reliable, maintainable, and production-ready AI applications.\r\nNice to Have Experience with React and TypeScript.\r\nExperience deploying and scaling applications within AWS EKS environments.\r\nFamiliarity with Model Context Protocol (MCP) and agent interoperability.\r\nUnderstanding of Identity and Access Management (IAM) and Customer Identity and Access Management (CIAM).\r\nAdditional programming experience with Java, Node.js, or Go.\r\nWhy Consider This Opportunity?This is an opportunity to work on advanced AI engineering initiatives, building intelligent systems that go beyond experimentation and into real-world production environments. You will have the opportunity to influence technical architecture, develop reusable AI frameworks, and collaborate with experienced engineering teams on complex, large-scale technology solutions. If you are a hands-on Python engineer with a passion for building reliable, scalable AI systems, we'd love to hear from you.\r\nSalt is acting as an Employment Agency in relation to this vacancy.#J-18808-Ljbffr","datePosted":"2026-11-06T01:43:13.382Z","dateModified":"2026-11-06T01:43:13.382Z","hiringOrganization":{"@type":"Organization","name":"Salt","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8ff091a9428020018a4c5eb0"},"url":"https://jobsearcher.com/jobs/8ff091a9428020018a4c5eb0"}}