7 Rag Workflows Jobs

As a skilled Generative AI Developer with hands-on experience in Large Language Models (LLMs), prompt engineering, and modern GenAI solution design, you will be responsible for building scalable, real-world GenAI applications and continuously exploring advancements in the field of Generative AI. You should be comfortable working with Retrieval-Augmented Generation (RAG), Agents frameworks, and AWS Bedrock, with a basic understanding of LLMOps practices. Proficiency in Streamlit for developing quick front-end prototypes of GenAI applications is highly desirable. **Key Responsibilities:** - Develop and maintain GenAI solutions using LLMs, RAG pipelines, and agent-based workflows. - Integrate L...

As a GenAI Engineer, you will be responsible for designing and implementing GenAI solutions using LLMs, NLP, and computer vision. You will lead product teams in building scalable, LLM-powered digital products and manage client onboarding, rollout, and ongoing enhancements. Additionally, you will be building and maintaining RAG pipelines and LLMOps workflows, working with cloud GenAI platforms such as Azure OpenAI, AWS, and GCP. Your role will also involve integrating APIs, automating workflows, and evaluating and optimizing LLM performance using observability tools. Key Responsibilities: - Design and implement GenAI solutions using LLMs, NLP, and computer vision. - Lead product teams in buil...

Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Salesforce is the #1 AI C...

As a Technical Lead specializing in GEN AI at a Global IT Service Provider company based in Chennai/Bangalore, your role involves designing, developing, and maintaining GenAI applications and agentic workflows. Your responsibilities include: - Building and optimizing RAG pipelines using centralized vector databases and embedding stores. - Developing and deploying GenAI models and BYOA solutions as Docker images on Kubernetes-based infrastructure. - Implementing prompt engineering, orchestration, and evaluation workflows using workbench plugins and browser extensions. - Supporting and extending user interfaces for interacting with GenAI agents and tools. - Ensuring robust security, compliance...

About CoffeeBeans Consulting CoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end deliveryfrom exploration and modeling to GenAI application development and deployment. Role Overview As an Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutionin...

Role Overview: As a Junior ML Engineer, you will be exposed to real-world machine learning systems from day one. You will support model development, testing, and deployment, and also take ownership of core data tasks like ingestion, vectorization, and indexing that form the backbone of the AI search engine. This role is perfect for someone who wants to grow fast, work with state-of-the-art AI tools, and help shape the future of legal research. Key Responsibilities: - Assist in Building and Deploying AI Models - Support senior ML engineers in developing search relevance models using LLMs and RAG. - Help test and evaluate embedding quality, ranking performance, and retrieval accuracy. - Contri...

The ideal candidate for this role should have experience in designing, building, and deploying end-to-end AI solutions with a focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) workflows. You should possess extensive knowledge of large language models, natural language processing techniques, and prompt engineering. Additionally, experience with Oracle Fusion Cloud Applications (ERP and HCM) and their AI capabilities is required. Proficiency in developing AI chatbots using Oracle Digital Assistance (ODA), Fusion APIs, Oracle Integration Cloud (OIC), and genAI services is essential. You should also have experience in testing and validation processes to ensure the ac...