Ai Rag Jobs in Springfield, MA (NOW HIRING)

Looking for a GenAI & Agentic AI Developer with strong Java Full Stack expertise to design and deliver LLM-based enterprise solutions, including RAG architectures and autonomous agent workflows ...

Define and implement architectures for RAG, agentic, multi-agent, and multimodal systems . Review and guide solution designs to ensure alignment with AI CoE standards and enterprise architecture

Build LLM-based applications, RAG pipelines, and AI agents. * Create and test AI prototypes and POCs based on business requirements. * Integrate LLMs, APIs, tools, and enterprise data sources.

Design and deliver Generative AI, LLM, retrieval‑augmented generation (RAG), and agentic AI solutions that create measurable product and business impact. * Build reusable AI platform capabilities ...

Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own technical ...

Integrate AI/ML models (LLMs, analytics, perception, RAG pipelines) into enterprise applications. * Implement CI/CD, automated testing, observability, and secure deployment workflows. * Ensure ...

Minimum 1 year with LLMs, RAG workflows, and AI frameworks (PyTorch, TensorFlow). * Minimum 1 year with integrating AI/ML models into software applications. Qualifications We Prefer * Demonstrated ...

Integrate AI/ML models (LLMs, analytics, perception, RAG pipelines) into enterprise applications. * Implement CI/CD, automated testing, observability, and secure deployment workflows. * Ensure ...

Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own technical ...

We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book, combining frontier LLMs, multi-agent systems, retrieval-augmented generation (RAG ...

We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book, combining frontier LLMs, multi-agent systems, retrieval-augmented generation (RAG ...

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). • Strong understanding of NLP, deep learning, and model fine-tuning techniques. • Experience working with MLOps, cloud-based AI deployment (AWS/GCP/Azure), and containerization (Docker ...

At the Hartford, we are seeking a Principal AI Engineer who is responsible for building our AI ... Proficiency in customization techniques across various stages of the RAG pipeline, including model ...

Integrate AI/ML models (LLMs, analytics, perception, RAG pipelines) into enterprise applications. * Implement CI/CD, automated testing, observability, and secure deployment workflows. * Collaborate ...

Build advanced RAG and GraphRAG pipelines, vector retrieval systems, and knowledge-graph-augmented ... Develop scalable AI microservices using Python/Typescript, Cloud Run, Vertex AI, and event-driven ...

Integrate AI/ML models (LLMs, analytics, perception, RAG pipelines) into enterprise applications. * Implement CI/CD, automated testing, observability, and secure deployment workflows. * Collaborate ...

Integrate AI/ML models (LLMs, analytics, perception, RAG pipelines) into enterprise applications. * Implement CI/CD, automated testing, observability, and secure deployment workflows. * Collaborate ...

Build advanced RAG and GraphRAG pipelines, vector retrieval systems, and knowledgegraph-augmented ... Develop scalable AI microservices using Python/Typescript, Cloud Run, Vertex AI, and event-driven ...

Build advanced RAG and GraphRAG pipelines, vector retrieval systems, and knowledge‑graph ... Develop scalable AI microservices using Python/Typescript, Cloud Run, Vertex AI, and event-driven ...