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Urgent! Lead Developer GenAI & RAG Systems Job Opening In Austin Texas – Now Hiring Abode Techzone LLC

Lead Developer GenAI & RAG Systems



Job description



Job Title: Lead Developer GenAI & RAG Systems

Location : Austin, TX

(Hybrid with 3 days onsite)

Type : Contract

Only local candidates



Job Summary

We 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 Responsibilities


  • Design, build, and deploy Retrieval-Augmented Generation (RAG) pipelines for enterprise GenAI solutions

  • Develop scalable LLM-based applications using embeddings, vector databases, and prompt engineering best practices

  • Work with Azure Functions, Azure OpenAI, Azure ML, Cosmos DB, and Blob Storage for cloud-native implementations

  • Build robust Python microservices for real-time AI inference and data processing

  • Integrate secure authentication mechanisms (SSO, OAuth, JWT) ensuring security and compliance standards

  • Collaborate with front-end engineers to build interactive UIs for AI workflows

  • Lead and mentor junior developers in AI/ML engineering best practices

  • Ensure performance, fault tolerance, and observability in deployed applications



Required Skills & Experience


  • 8+ years of experience in software engineering, with at least 3+ years in AI/ML systems

  • Expertise in Python and hands-on experience with RAG pipelines , LLMs (GPT, Claude, LLaMA, etc.) , and embedding models

  • GCP stack: Vertex AI, Cloud Functions, Firestore, BigQuery

  • Deep understanding of enterprise integrations including SSO , authentication, data privacy, and compliance

  • Experience with vector databases like Pinecone, FAISS, Weaviate, or Azure Cognitive Search

  • Familiarity 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 integration



Preferred Skills


  • Experience with LangChain , LlamaIndex , or similar GenAI orchestration frameworks

  • Knowledge of MLOps practices and tools (e.g., MLflow, Azure DevOps)

  • Familiarity with CI/CD pipelines and containerization using Docker & Kubernetes






Required Skill Profession

Other General



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