{"schemaVersion":"jobsearcher.job.v1","id":"643b10d41631cc4678154936","url":"https://jobsearcher.com/jobs/643b10d41631cc4678154936","canonicalUrl":"https://jobsearcher.com/jobs/643b10d41631cc4678154936","title":"Lead Developer - GenAI & RAG Systems","description":"Lead Developer – GenAI & RAG SystemsLocation: Austin, TX (Hybrid with 3 days onsite) Type: Contract Only local candidatesJob SummaryWe are seeking a highly skilled Lead Developer with strong expertise in Python, Generative AI (LLMs, RAG pipelines, Embeddings), and GCP Cloud Services. The ideal candidate will have hands-on experience in building production-grade AI/ML systems with UI integration, managing secure enterprise deployments, and ensuring scalability and compliance.Key ResponsibilitiesDesign, build, and deploy Retrieval-Augmented Generation (RAG) pipelines for enterprise GenAI solutionsDevelop scalable LLM-based applications using embeddings, vector databases, and prompt engineering best practicesWork with Azure Functions, Azure OpenAI, Azure ML, Cosmos DB, and Blob Storage for cloud-native implementationsBuild robust Python microservices for real-time AI inference and data processingIntegrate secure authentication mechanisms (SSO, OAuth, JWT) ensuring security and compliance standardsCollaborate with front-end engineers to build interactive UIs for AI workflowsLead and mentor junior developers in AI/ML engineering best practicesEnsure performance, fault tolerance, and observability in deployed applicationsRequired Skills & Experience8+ years of experience in software engineering, with at least 3+ years in AI/ML systemsExpertise in Python and hands-on experience with RAG pipelines, LLMs (GPT, Claude, LLaMA, etc.), and embedding modelsGCP stack: Vertex AI, Cloud Functions, Firestore, BigQueryDeep understanding of enterprise integrations including SSO, authentication, data privacy, and complianceExperience with vector databases like Pinecone, FAISS, Weaviate, or Azure Cognitive SearchFamiliarity with front-end/UI development frameworks (e.g. React, Streamlit, Flask for dashboards)Proven record of deploying production-grade AI applications with UI and backend integrationPreferred SkillsExperience with LangChain, LlamaIndex, or similar GenAI orchestration frameworksKnowledge of MLOps practices and tools (e.g., MLflow, Azure DevOps)Familiarity with CI/CD pipelines and containerization using Docker & Kubernetes","company":"Abode Techzone","rawCompany":"abode techzone","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-03T02:02:00.091Z","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":"Lead Developer - GenAI & RAG Systems","description":"Lead Developer – GenAI & RAG SystemsLocation: Austin, TX (Hybrid with 3 days onsite) Type: Contract Only local candidatesJob SummaryWe are seeking a highly skilled Lead Developer with strong expertise in Python, Generative AI (LLMs, RAG pipelines, Embeddings), and GCP Cloud Services. The ideal candidate will have hands-on experience in building production-grade AI/ML systems with UI integration, managing secure enterprise deployments, and ensuring scalability and compliance.Key ResponsibilitiesDesign, build, and deploy Retrieval-Augmented Generation (RAG) pipelines for enterprise GenAI solutionsDevelop scalable LLM-based applications using embeddings, vector databases, and prompt engineering best practicesWork with Azure Functions, Azure OpenAI, Azure ML, Cosmos DB, and Blob Storage for cloud-native implementationsBuild robust Python microservices for real-time AI inference and data processingIntegrate secure authentication mechanisms (SSO, OAuth, JWT) ensuring security and compliance standardsCollaborate with front-end engineers to build interactive UIs for AI workflowsLead and mentor junior developers in AI/ML engineering best practicesEnsure performance, fault tolerance, and observability in deployed applicationsRequired Skills & Experience8+ years of experience in software engineering, with at least 3+ years in AI/ML systemsExpertise in Python and hands-on experience with RAG pipelines, LLMs (GPT, Claude, LLaMA, etc.), and embedding modelsGCP stack: Vertex AI, Cloud Functions, Firestore, BigQueryDeep understanding of enterprise integrations including SSO, authentication, data privacy, and complianceExperience with vector databases like Pinecone, FAISS, Weaviate, or Azure Cognitive SearchFamiliarity with front-end/UI development frameworks (e.g. React, Streamlit, Flask for dashboards)Proven record of deploying production-grade AI applications with UI and backend integrationPreferred SkillsExperience with LangChain, LlamaIndex, or similar GenAI orchestration frameworksKnowledge of MLOps practices and tools (e.g., MLflow, Azure DevOps)Familiarity with CI/CD pipelines and containerization using Docker & Kubernetes","datePosted":"2026-06-03T02:02:00.091Z","dateModified":"2026-06-03T02:02:00.091Z","hiringOrganization":{"@type":"Organization","name":"Abode Techzone","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"643b10d41631cc4678154936"},"url":"https://jobsearcher.com/jobs/643b10d41631cc4678154936"}}