Ai Rag Jobs in Forney, TX (NOW HIRING)

Contract Key Skills - AI, Python, Rag, LLM Overview We are seeking an AI Engineer with proven experience in building and scaling AI-powered applications . This role combines hands-on development with ...

... AI RAG Design and deploy sophisticated RAG pipelines and Transformerbased architecture Orchestrate LLMasaService eg GPT4 GeminiVertex AI alongside local SLMs eg Llama 3 Mixtral Agentic Workflows ...

Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data. * Develop and test AI agents, traditional ML models, and deterministic logic for real-world use ...

Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data. * Develop and test AI agents, traditional ML models, and deterministic logic for real-world use ...

Generative AI & RAG: Design and deploy sophisticated RAG pipelines. Orchestrate LLM-as-a-Service (e.g., GPT-4, Gemini, Vertex AI) alongside local SLMs (e.g., Llama 3, Mixtral). * Agentic Workflows:

Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data. * Develop and test AI agents, traditional ML models, and deterministic logic for real-world use ...

Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data. * Develop and test AI agents, traditional ML models, and deterministic logic for real-world use ...

Lead the end-to-end design, development, and implementation of scalable AI/ML systems and pipelines, emphasizing Generative AI/LLM solutions, including RAG implementation and evaluation.

Azure Machine Learning, Azure OpenAI, Azure AI Foundry Experience building MLOps platforms and automated ML pipelines Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG (retrieval ...

... RAG, fine-tuning, prompt engineering, function calling, and tool use. • Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety ...

RAG & Vector Databases * LangGraph, Agents SDK, Google ADK * Docker, Kubernetes, CI/CD * AWS, Azure, or GCP * AI Governance & Observability * Cursor, Windsurf, Codex Key Responsibilities * Define AI ...

Domain: Enterprise AI / Agentic AI / AWS Bedrock Compensation: Competitive, commensurate with ... Implement advanced RAG pipelines with optimized chunking, reranking, grounding, and hybrid/vector ...

Design end-to-end AI solutions spanning Generative AI (RAG, CAG, GraphRAG, fine-tuning, model distillation) and agentic AI (tool-using agents, multi-agent orchestration, MCP-based integrations)

It requires deep expertise in RAG (Retrieval-Augmented Generation) and Agentic AI architecture on cloud-native platforms, enabling intelligent, scalable, and production-ready AI systems after ...

Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions. Design and implement robust system architectures for AI-driven platforms ensuring scalability ...

RAG patterns and agentic frameworks (LangGraph); Python web/API development (FastAPI, Flask, Django) Local AI model stacks (vLLM, LiteLLM, Ollama); reverse proxies (Caddy, Nginx, Traefik); vector ...

... RAG) pipelines, and Agent SDKs - Skilled in building and deploying AI/LLM systems in production environments - Familiarity with AI agents, including evaluation frameworks, agent tooling, RAG ...

It requires deep expertise in RAG (Retrieval-Augmented Generation) and Agentic AI architecture on cloud-native platforms, enabling intelligent, scalable, and production-ready AI systems after ...

Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions. Design and implement robust system architectures for AI-driven platforms ensuring scalability ...

It requires deep expertise in RAG (Retrieval-Augmented Generation) and Agentic AI architecture on cloud-native platforms, enabling intelligent, scalable, and production-ready AI systems after ...