{"schemaVersion":"jobsearcher.job.v1","id":"e035cd26c8fbc04173e1ece8","url":"https://jobsearcher.com/jobs/e035cd26c8fbc04173e1ece8","canonicalUrl":"https://jobsearcher.com/jobs/e035cd26c8fbc04173e1ece8","title":"AI/ML Backend Developer","description":"Overview\nIn this role you will design and deliver production-ready AI-powered backends that orchestrate Generative AI, LLMs and agentic workflows. You will build REST APIs in Python, manage data pipelines and integrate AI services to create contextual, intelligent solutions. You’ll work across data stores and vector databases to support RAG, intent detection and autonomous AI agents. This role sits at the intersection of backend engineering and AI/ML orchestration, enabling scalable enterprise applications.\n\nResponsibilitiesDesign, develop, and maintain REST APIs in Python to integrate AI/ML servicesDesign and orchestrate autonomous AI agents that reason, plan, and execute multi-step tasks by connecting LLMs with tools, APIs, and data sourcesImplement AI/ML orchestration, workflows and AI models using PythonDevelop Generative AI solutions for text generation, summarization, and conversational AIManage data with SQL, graph databases (CosmosDB), and unstructured stores (Elasticsearch)Build RAG pipelines using Azure AI Search, OpenSearch, or vector databases for contextual responsesDesign and manage robust data ingestion and transformation pipelines for AI workloadsDevelop or integrate intent detection and NLU to enhance conversational AICreate and optimize prompts for LLMs to improve quality and reduce latencyCollaborate with frontend and product teams to embed GenAI features in enterprise apps\nKey requirementsBackend Development in Python for scalable REST APIsAI/ML orchestration with LLMs and AI workflowsAgentic AI development experience with frameworks like OpenAI Functions or similarGenerative AI experience (text generation, summarization, conversational AI) and prompt engineeringData management across SQL, graph databases (CosmosDB), and ElasticsearchRAG implementation using Azure AI Search, AWS OpenSearch or similar vector DBsData pipelines experience with Databricks, Azure Data Factory or equivalentIntent detection & NLU development or deploymentcollaborativeproblem-solvingstrong communicationPythonLLMsAgentic AI","company":"Sri Tech","rawCompany":"sri tech","city":"Alexandria","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-09-15T03:37:03.296Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"AI/ML Backend Developer","description":"Overview\nIn this role you will design and deliver production-ready AI-powered backends that orchestrate Generative AI, LLMs and agentic workflows. You will build REST APIs in Python, manage data pipelines and integrate AI services to create contextual, intelligent solutions. You’ll work across data stores and vector databases to support RAG, intent detection and autonomous AI agents. This role sits at the intersection of backend engineering and AI/ML orchestration, enabling scalable enterprise applications.\n\nResponsibilitiesDesign, develop, and maintain REST APIs in Python to integrate AI/ML servicesDesign and orchestrate autonomous AI agents that reason, plan, and execute multi-step tasks by connecting LLMs with tools, APIs, and data sourcesImplement AI/ML orchestration, workflows and AI models using PythonDevelop Generative AI solutions for text generation, summarization, and conversational AIManage data with SQL, graph databases (CosmosDB), and unstructured stores (Elasticsearch)Build RAG pipelines using Azure AI Search, OpenSearch, or vector databases for contextual responsesDesign and manage robust data ingestion and transformation pipelines for AI workloadsDevelop or integrate intent detection and NLU to enhance conversational AICreate and optimize prompts for LLMs to improve quality and reduce latencyCollaborate with frontend and product teams to embed GenAI features in enterprise apps\nKey requirementsBackend Development in Python for scalable REST APIsAI/ML orchestration with LLMs and AI workflowsAgentic AI development experience with frameworks like OpenAI Functions or similarGenerative AI experience (text generation, summarization, conversational AI) and prompt engineeringData management across SQL, graph databases (CosmosDB), and ElasticsearchRAG implementation using Azure AI Search, AWS OpenSearch or similar vector DBsData pipelines experience with Databricks, Azure Data Factory or equivalentIntent detection & NLU development or deploymentcollaborativeproblem-solvingstrong communicationPythonLLMsAgentic AI","datePosted":"2026-09-15T03:37:03.296Z","dateModified":"2026-09-15T03:37:03.296Z","hiringOrganization":{"@type":"Organization","name":"Sri Tech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alexandria","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e035cd26c8fbc04173e1ece8"},"url":"https://jobsearcher.com/jobs/e035cd26c8fbc04173e1ece8"}}