Ai Rag Jobs in Austin, TX (NOW HIRING)

Experience with RAG, prompt engineering, and AI agents * Preferred: Familiarity with MLOps, model monitoring, observability, and enterprise AI governance * Preferred: Experience communicating ...

Familiarity with RAG patterns, eval tooling, agent frameworks, and the broader AI tools landscape * ML-leaning PM background at a company that has matured past the prototype phase Why Join Us? * A ...

When Reuse is well-designed, delivery teams compose from a trusted catalogue of capabilities (e.g., OCR, RAG, triggers, integrations) rather than building bespoke for every engagement. When AI Builds ...

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

... RAG) pipelines, agentic tool-use frameworks, and domain-adapted models. Collaborating with formal ... Prototyping novel AI-driven approaches for tasks such as automatic SVA property synthesis, natural ...

Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi ... Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy ...

Guide the implementation of modern AI capabilities, including retrieval-augmented generation (RAG), AI agents, orchestration frameworks, and integrations with leading LLM providers. * Establish ...

Strong background in machine learning and modern AI systems, including LLM/VLMs, agent frameworks, RAG, or adjacent applied ML systems. * Ability to move comfortably between research and engineering.

Guide the implementation of modern AI capabilities, including retrieval‑augmented generation (RAG), AI agents, orchestration frameworks, and integrations with leading LLM providers. * Establish ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Enable RAG use cases: Implement AI application services powered by machine learning models, enabling scalable Retrieval-Augmented Generation (RAG) and semantic search. * Lead by Example: Advocate for ...

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Develop LLM-based solutions, including classification, extraction, structured generation, and RAG ... Mentor Senior AI Engineers through design reviews and technical guidance* Collaborate with Staff ...

Develop LLM-based solutions, including classification, extraction, structured generation, and RAG ... Mentor Senior AI Engineers through design reviews and technical guidance * Collaborate with Staff ...

Develop LLM-based solutions, including classification, extraction, structured generation, and RAG ... Mentor Senior AI Engineers through design reviews and technical guidance* Collaborate with Staff ...

Develop LLM-based solutions, including classification, extraction, structured generation, and RAG ... Mentor Senior AI Engineers through design reviews and technical guidance * Collaborate with Staff ...

Guide the implementation of modern AI capabilities, including retrieval‑augmented generation (RAG), AI agents, orchestration frameworks, and integrations with leading LLM providers. * Establish ...

Strong hands‑on experience building AI/ML applications, particularly those leveraging Large Language Models (LLMs) -- including prompt engineering, fine‑tuning, RAG architectures, agentic systems ...

A senior, hands-on engineer with expertise in Apigee, MCP, AI agents, Agentic AI, LLMs, RAG, AI-DLC, Terraform, GitHub Actions, and Developer Portal technologies , capable of driving API platform ...

They are seeking a highly technical AI Engineer to design and deploy AI systems that enhance their ... etc.) and RAG architectures Preferred : • Experience with audio processing, livekit, and ASR ...