356 Rag Pipelines Jobs - Page 2

As a Senior AI/ML Engineer at the company, your role will involve architecting and leading the development of advanced AI systems focusing on document processing and generative AI. You will work with cutting-edge technologies like LLMs, RAG, vector databases, and the Azure AI stack to deliver innovative solutions that redefine how enterprises extract, classify, and leverage unstructured data. Additionally, you will mentor junior AI engineers and play a key role in shaping the roadmap of intelligent automation for financial workflows. **Key Responsibilities:** - Architect, implement, and optimize AI/ML systems for parsing and extracting tabular and semi-structured data from complex PDF docume...

As a Gen AI QA Engineering Lead at Barclays, you play a crucial role in ensuring the quality, reliability, and compliance of cutting-edge generative AI solutions. You will lead QA efforts across multiple AI PODs, collaborating with various teams to build robust testing frameworks and automation pipelines. Your key responsibilities include: - Designing and implementing QA frameworks for GenAI models, focusing on prompt validation, output consistency, hallucination detection, and bias mitigation. - Building automated test suites for GenAI pipelines using Python, PyTest, and tools like MLflow, SageMaker, or similar. - Integrating QA checks into CI/CD pipelines (e.g., Jenkins, GitHub Actions, Gi...

As a Senior Data Scientist at Elsevier, you will play a crucial role in developing and deploying cutting-edge Generative AI models and solutions. Your responsibilities will include building, testing, and maintaining Generative AI, Retrieval Augmented Generation (RAG), Agentic AI, and Natural Language Processing (NLP) solutions. You will be actively involved in the entire lifecycle of data science projects, from design to implementation, evaluation, productionisation, and ongoing enhancement. **Responsibilities:** - Collect data, conduct data analysis, develop models, define quality metrics, and perform quality assessments of models, with regular presentations to stakeholders. - Create produc...

As a highly skilled Development Lead with expertise in Generative AI and Large Language models, you will play a key role in developing cutting-edge LLM applications and systems for clients. Your primary focus will be on driving innovation and leveraging LLMs to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of LLM apps. **Responsibilities:** - Develop and extend digital products and creative applications, leveraging LLM technologies at their core. - Lead a product development and product operations team to further develop, enhance, and extend existing digital products built on top of LLMs. - Lead client onboard...

You will be working with Large Language Models (LLMs), both open-source (like LLaMA, Mistral, GPT-NeoX) and API-based (like OpenAI, Anthropic). Your responsibilities will include developing and managing multi-agent system architectures for AI-driven applications, conducting comparative evaluation of LLMs based on quality, speed, cost, and reliability, designing, testing, and optimizing prompts, context management strategies, and resolving common issues like hallucinations and irrelevant outputs. You should understand the basics of model fine-tuning and customizing pre-trained models for domain-specific use-cases. Additionally, you will be building and integrating backend systems using Node.j...

As a Senior Technical Architect at our company, you will be responsible for leading the architecture, design, and implementation of scalable data platforms and AI-powered applications for our global clients. Your expertise in Databricks, Apache Spark, and modern data engineering architectures will be pivotal in guiding technical teams and collaborating with stakeholders to address complex business challenges. Your role will involve mentoring data engineers and solution architects, ensuring best practices in security, governance, and performance, and staying updated with emerging trends in data engineering and AI systems. **Key Responsibilities:** - Lead architecture, design, and deployment o...

About the Role We are seeking a Lead Engineer with strong expertise in Computer Vision and working knowledge of Generative AI . This role requires a hands-on leader who can take ownership of delivering end-to-end AI solutions while guiding a team of 810 engineers. The right candidate will balance technical depth, solution delivery, and people management . Key Responsibilities: End-to-End AI Delivery: Drive the entire lifecycle of AI solutions requirement analysis, data preparation, model development, optimization, deployment, and monitoring in production environments. Computer Vision Solutions: Develop models for object detection, recognition, tracking, OCR, and video analytics. Optimize mod...

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy...

Key Responsibilities Develop, test, and maintain high-quality Python applications. Write reusable, efficient, and scalable code using Python frameworks. Integrate user-facing elements with backend logic. Work with databases (SQL/NoSQL) to design, optimize, and manage data models. Develop RESTful APIs and integrate third-party APIs/services. Design and implement Machine Learning models for production use cases. Implement and integrate RAG (Retrieval-Augmented Generation) models with LLMs. Collaborate with cross-functional teams (Product, QA, DevOps, AI/ML teams). Debug issues, improve application performance, and ensure code quality. Participate in code reviews, technical discussions, and doc...

We are seeking a passionate and skilled AI Engineer to join our technical team. This role will be responsible for designing, developing, and deploying cutting-edge AI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), MCP and Agentic AI frameworks. Key Responsibility: Design and implement AI solutions leveraging LLMs, RAG pipelines, MCP and Agentic AI architectures. Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow. Build scalable APIs using REST / FastAPI to serve AI models and integrate with enterprise systems. Optimize model performance and ensure robustness in production environments. Stay updated with th...

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Assistant Director - AI Product Manager (Client & Internal Solutions) Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are seeking a Manager - AI Product Manager who will drive the design, roadmap, and del...

As a Mid-Level LLM Application Developer at Dentsu Creative, your role will involve designing, developing, and implementing intelligent applications powered by Azure OpenAI, Python, and LLM frameworks. You will work on creating innovative AI solutions, specifically focusing on chatbots, knowledge assistants, and RAG-based systems. Collaboration with cross-functional teams is essential to bring these solutions to life and leverage generative AI and agentic technologies effectively. **Key Responsibilities:** - Design and develop LLM-powered applications using Python and Azure OpenAI services. - Build end-to-end Retrieval-Augmented Generation (RAG) pipelines with vector databases and semantic s...

TransUnion's Job Applicant Privacy Notice What We'll Bring Key requirements of M1- DSA hiring in Innovation team Total 10+ years of exp and atleast 3+ years experience in leading small ML team Experience with NLP & Deep Learning with production grade deployment exposure Well versed with GenAI toolkit - LLMs ( Tuning , Evaluation , Guardrails) , AI Agents & Workflows , RAG pipelines Tool stack - Python , PyTorch , SparkML , LangGraph/LangChain, Relational & Vector DB Cloud - GCP experience What You'll Bring Industry - Credit , Fintech , Consulting Impact You'll Make We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to ra...

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description The Client Services Data & AI Solutions Team builds open, trusted...

We are Hiring LLM / Gen-AI Engineer at Coforge Ltd. Job Locations: Hyderabad, Pune & Greater Noida Only Experience Required: 3 to 6 Years ( considered for strong hands-on experience ) Availability: Immediate joiners preferred Job Title: LLM / Gen-AI Engineer Role Summary We are looking for an experienced LLM / Gen-AI Engineer to design, implement, and operate LLM-powered solutions such as RAG pipelines , fine-tuning/LoRA workflows , and evaluation & monitoring frameworks . You will play a key role in delivering production-grade Gen-AI capabilities for enterprise customers. Key Responsibilities:- Architect and implement RAG systems : document ingestion chunking embeddings vector store retriev...

Role Overview: As an experienced AI/ML Engineer with a strong background in Machine Learning and Artificial Intelligence, you will be responsible for working on Generative AI projects. Your expertise in Python, LLM Models, and emerging techniques like Retrieval-Augmented Generation (RAG) will be crucial for designing, developing, and deploying AI/ML solutions. Key Responsibilities: - Design, develop, and deploy AI/ML solutions focusing on generative models and LLMs. - Implement and optimize RAG pipelines for knowledge-aware AI systems. - Fine-tune and customize models for specific domains. - Build and manage agentic AI systems capable of autonomous planning and decision-making. - Collaborate...

As a Machine Learning Engineer with 9-12 years of experience, you will play a key role in designing and deploying agentic AI architectures involving LLMs, Agentic AI frameworks, and MCP-based architectures. Your responsibilities will include: - Agentic AI & LLM Development: - Design, implement, and optimize agentic workflows using LangChain, LangGraph, n8n, and related orchestration tools. - Develop RAG solutions by leveraging vector databases, relational databases, and MongoDB. - Implement web crawling and external MCP services like Tavily to enhance agent capabilities. - Knowledge Base Engineering: - Build knowledge repositories from text, audio, and video sources using embeddings, transcr...

As a Senior Data Scientist at AuxoAI, you will be responsible for designing, deploying, and scaling production-grade ML systems. Your expertise in AI, machine learning engineering (MLE), and generative AI will be crucial in this role. You will have the opportunity to work on large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This position is perfect for someone who enjoys combining cutting-edge research with production rigor and is passionate about mentoring while creating impactful AI applications. Your key responsibilities will include: - Owning the full ML lifecycle: from model design to training, evaluation, and deployment - Designing production-ready ML pipe...

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Architect - Google Vertex AI & Databricks (Agentic AI Solutions) to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Duties: 1. Architecture & Solution Design . Design end-to-end agentic AI systems integrating Vertex AI Agent Builder, Gemini models, and Databricks Mosaic AI Agent Framework. . Develop hybrid architectures where Databricks is the governed data and tool plane, and Vertex AI is the reasoning/LLM runtime (and vice-versa as per client needs). . D...

Hiring for: Strong: Python (Backend & AI) Experience: AI/ML, GenAI Agents, RAG Pipelines & LLM Orchestration Cloud: AWS (Bedrock, SageMaker, Inferentia) or Azure OpenAI, or Google Vertex AI Mandatory AIML Certification: AWS, Azure, or GCP Required Candidate profile Agentic: LangGraph, AutoGen, CrewAI Evaluation: Agent Evaluation & Debugging Data Engineering: Vector Database, Graph Database, Ingestion Pipeline Containerization: Docker, Kubernetes & CI/CD pipeline Perks and benefits Excellent Perks & Benefits

Job Description What You'll Do Design and develop backend services that power GenAI applications and platforms Build APIs and infrastructure to support LLM-based features, tools, and agent workflows Collaborate with frontend, ML, and product teams to create seamless AI experiences Optimize backend systems for performance, scalability, and reliability Work with vector databases, data pipelines, and AI model endpoints (OpenAI, Anthropic, Hugging Face, etc.) Maintain clean, secure, and production-grade code Contribute to the architecture and roadmap of our GenAI stack What We're Looking For 1-3 years of experience in backend development Proficient in Python Strong experience with REST APIs, mic...

As an AI/ML & Generative AI Developer, you will be a part of the AI Innovation Team, contributing to the development of cutting-edge Generative AI, LLM-powered applications, and Agentic AI systems for various enterprise use cases. This role involves designing, developing, and deploying advanced ML models, LLM applications, and intelligent AI agents using technologies like LangChain, LlamaIndex, RAG pipelines, Azure, and Databricks. - Develop and deploy AI/ML models and Generative AI applications for diverse enterprise challenges. - Fine-tune and integrate LLMs with LangChain, LlamaIndex, and RAG pipelines. - Build Agentic AI systems with multi-step reasoning and decision-making. - Design sca...

Role Overview: You will be responsible for researching and experimenting with the latest AI and cloud innovations, such as AWS Agents, Databricks AI, and other Model Context Protocol (MCP) integrations. Your role will involve prototyping and implementing these solutions using Python, developing proof-of-concepts, and driving the implementation of scalable AI-enabled applications. Key Responsibilities: - Research and evaluate emerging technologies in AI, cloud computing, and developer productivity, including AWS Core Agent, Databricks, LLM-based agents, and MCPs. - Prototype and integrate AI-driven solutions to enhance internal tools, chatbots, and workflows. - Design and develop robust, scal...

As the AI Agent Specialist at the company, your role involves building, deploying, and optimizing AI agents to support research automation and ESG analysis. You will be the primary technical specialist, collaborating with research and product teams to enable scalable AI-driven solutions in a hybrid work setting. **Key Responsibilities:** - Build and maintain autonomous and assistive AI agents for sustainability research and consulting workflows. - Integrate agent solutions with APIs, cloud platforms, sustainability databases, and external client systems. - Collaborate with internal research and consulting teams to develop, test, and refine agent-driven products and reporting solutions (e.g.,...

Job Title: AI Prompt Engineer Duration: 2 months Contract Location: Remote About the Role We are looking for an experienced AI Prompt Engineer who can design, optimise, and manage high-quality prompts for advanced AI models. The ideal candidate has hands-on experience with LLMs, a strong understanding of AI workflows, and the ability to translate business needs into effective AI-driven solutions. Key Responsibilities Develop, refine, and optimise prompts for LLMs (ChatGPT, Claude, Gemini, etc.) to generate accurate and context-aware outputs. Collaborate with product, engineering, and business teams to understand requirements and build AI-powered workflows. Fine-tune and test prompt variation...