Rag Developer Jobs in Addison, TX (NOW HIRING)

Faithfulness Relevance NDCG MRR Trace-level RAG evaluation (Langfuse) Data Engineering & ETL Prefect 2.x / 3.x Flows, tasks, futures Deployments (YAML) Scheduling ETL/ELT design Schema evolution ...

Architect and develop Generative AI applications using RAG frameworks for enterprise-scale ... Exposure to CI/CD pipelines and DevOps practices.

... RAG systems * 1+ year experience with vector databases such as MongoDB Atlas or Pinecone ... DevOps with GitHub Actions or similar CI/CD tools. * 1+ years of writing and deploying ...

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary ... Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for ...

Conversational AI Developer Locations: Irving/Dallas, Texas & Jacksonville Florida Duration ... Leverage LLMs and RAG: Utilize and fine-tune large language models (LLMs) and implement Retrieval ...

Experience with AI Agents, RAG, Embeddings, or MCP. * Experience with React for extension UI development. * Familiarity with Language Server Protocol (LSP). * Experience building developer ...

RAG-based internal knowledge solutions * Shared SDKs, templates, and integration examples * Reusable components for copilots, agents, and AI-enabled engineering workflows Partner with senior ...

RAG-based internal knowledge solutions * Shared SDKs, templates, and integration examples * Reusable components for copilots, agents, and AI-enabled engineering workflows Partner with senior ...

RAG-based internal knowledge solutions * Shared SDKs, templates, and integration examples * Reusable components for copilots, agents, and AI-enabled engineering workflows Partner with senior ...

RAG Implementation: Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and enterprise knowledge sources. Platform Engineering: Develop resilient, high ...

RAG Implementation: Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and enterprise knowledge sources. Platform Engineering: Develop resilient, high ...

Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs ... Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration ...

Generative AI & RAG: Design and deploy sophisticated RAG pipelines. Orchestrate LLM-as-a-Service (e ... engineering teams. * Strategic Communication: Translate high-level business requirements into ...

... RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate ... engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like ...

As a Software Engineer, you will be responsible for delivering high quality solutions that meet ... Develop reusable foundational components, such as prompt frameworks and reusable templates, RAG ...

This is a hands-on full-stack engineering role that combines client-facing solutioning, Agentic AI ... Build RAG pipelines including document ingestion, chunking, embeddings, vector search, retrieval ...

You will work with foundation models, create robust prompting and RAG pipelines, integrate agentic ... Prompt Engineering * Develop reliable, optimized prompts for various generative AI use cases.

RAG Architectures & AI Agents * Cloud AI Deployment * Data Engineering Fundamentals Key ResponsibilitiesAI Development & Engineering (70%) * Design, develop, and deploy scalable AI/ML solutions ...

The Python Developer will play a critical role in building and enhancing our Agentic AI platform ... RAG Implementation: Develop and maintain Retrieval-Augmented Generation (RAG) solutions leveraging ...

You will work with state-of-the-art foundation models, RAG architectures, and multi-agent systems while partnering closely with product, design, and engineering teams. You will be responsible for ...