Ai Rag Jobs in Hammond, IN (NOW HIRING)

GCP Gemini AI Developer (3-5 Years Experience) Location: Remote / Hybrid - Chicago preferred ... Reusable components adopted in at least 3 future use cases. 3. RAG / Context-Aware Workflows ...

From early-stage use case discovery through production deployment and monitoring, you'll work across the full AI lifecycle-leveraging large language models (LLMs), retrieval-augmented generation (RAG ...

... AI, RAG Pipelines, Python, Amplitude, and Jellyfish to drive enterprise AI tooling strategy, governance, implementation, platform adoption, and engineering productivity across a regulated environment.

This position combines deep hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures with strong technical leadership to deliver secure ...

Proposing and implementing innovative solutions to complex problems • Experienced with Generative AI, RAG and GraphRAG patterns • Design models to predict next-best-action, customer behavior, and ...

Design and build AI solutions that accelerate data migration from legacy systems to the cloud ... Strong coding fluency in Python; hands-on experience with BigQuery, Claude Code, RAG architectures ...

... RAG pipelines leveraging vector search, embeddings, semantic ranking, and enterprise data sources (structured unstructured). • Develop prompt strategies, memory frameworks, and metadata tagging to ...

Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol ...

Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol ...

Develop RAG pipelines, embedding strategies, and vector search architectures. * Build agentic workflows, prompt strategies, and orchestration patterns. * Own AI/ML solutions end to end from design ...

RAG and Agentic AI systems; Python; model serving frameworks and API development such as FastAPI/MLflow; vector databases and embeddings; LangChain/LlamaIndex or similar orchestration; CI/CD ...

Python, SQL, AWS, LLM APIs, RAG, tool calling, production software engineering Preferred: Bedrock ... Hands on experience with AWS AI and cloud services, including Amazon Bedrock, AgentCore, SageMaker ...

Python, SQL, AWS, LLM APIs, RAG, tool calling, production software engineering Preferred: Bedrock ... Hands on experience with AWS AI and cloud services, including Amazon Bedrock, AgentCore, SageMaker ...

Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...

Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies. * Develop scalable backend services, REST ...

Build and optimize RAG pipelines, including implementing and managing embeddings, vector databases ... Expose AI/LLM functionality written in Python using Java services, leverage multi-threading ...

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

Familiarity with large language models, retrieval-augmented generation (RAG), vector search, agent-based architectures, and conversational AI experiences. * Experience working with cloud platforms ...

Familiarity with large language models, retrieval-augmented generation (RAG), vector search, agent-based architectures, and conversational AI experiences. * Experience working with cloud platforms ...

Familiarity with large language models, retrieval-augmented generation (RAG), vector search, agent-based architectures, and conversational AI experiences. * Experience working with cloud platforms ...