356 Rag Pipelines Jobs - Page 10

Role:AI-ML Architect Experience: 5 to 7 Years Location:Pune, Gurgaon, Bangalore Hybrid Shift Time: 12:00 PM - 10:00 PM Clairvoyant an EXL Company is a global technology consulting and services company founded in 2012, headquartered in Chandler, US, and has delivery centers across the globe. We help organizations maximize the value of data by providing data engineering, analytics, machine learning, and user experience consulting and development projects to multiple Fortune 500 clients. Clairvoyant clients rely on its deep vertical knowledge and best-in-class services to drive revenue growth, boost operational efficiencies, and manage risk and compliance. Our team of experts with direct indust...

As a candidate for this position, you will be responsible for working with Large Language Models (LLMs) such as open-source (LLaMA, Mistral, GPT-NeoX) and API-based (OpenAI, Anthropic). Your key 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 addressing common issues like hallucinations and irrelevant outputs - Understanding model fine-tuning basics and customizing pre-trained models for domain-specific use-cases - Building and integrating backend systems...

As a Senior Technical Architect with expertise in Databricks, Apache Spark, and modern data engineering architectures, you will play a crucial role in leading the architecture, design, and implementation of scalable data platforms and AI-powered applications for global clients. Your responsibilities will include: - Leading the architecture, design, and deployment of scalable data solutions using Databricks and the medallion architecture. - Guiding technical teams in building batch and streaming data pipelines using Spark, Delta Lake, and MLflow. - Collaborating with clients and internal stakeholders to understand business needs and translate them into robust data and AI architectures. - Desi...

As a Senior AI/ML Engineer at the company, your role involves architecting and leading the development of advanced AI systems in the domain of document processing and generative AI. You will have the opportunity to work with cutting-edge technologies like LLMs, RAG, vector databases, and the Azure AI stack. Additionally, you will mentor junior AI engineers to deliver innovative products that redefine how enterprises extract, classify, and leverage unstructured data. **Key Responsibilities** - Architect, implement, and optimize AI/ML systems for parsing and extracting tabular and semi-structured data from complex PDF documents. - Develop and deploy LLM-powered solutions for semantic understan...

As a Generative AI Engineer specializing in FastAPI development, your role will involve designing, building, and deploying scalable backend systems for cutting-edge generative AI applications. You will collaborate with data scientists, ML engineers, and product teams to deliver innovative AI-driven solutions at scale. **Key Responsibilities:** - Design, develop, and maintain high-performance backend systems using Python and FastAPI. - Build and expose secure, scalable RESTful APIs for AI-powered services. - Implement prompt engineering, RAG, and embedding techniques to enhance model performance. - Integrate and manage vector databases (e.g., Pinecone, ChromaDB) for efficient AI data retrieva...

AI Engineer Multi-Agent Systems & NLP/ML Location: Gurugram, India (On-site, Full-time) Experience: 24 years About LeapX LeapX is building the next generation of AI-powered advertising platforms. Our products are redefining how brands run campaigns with speed, precision, and intelligence. We're looking for an AI Engineer (Multi-Agent Systems & NLP/ML) to design, train, and productionize intelligent multi-agent workflows that form the backbone of our platform. This role is ideal for someone who thrives at the intersection of machine learning, NLP, and systems engineering . What You'll Do Design & Build Multi-Agent Workflows: Architect agentic environments (e.g., LangGraph or similar framework...

About the Role: We are seeking a dynamic and experienced Manager AI to lead the design, development, and deployment of next-generation AI solutions, with a strong focus on Generative AI , Natural Language Processing (NLP) , and Machine Learning (ML) within the pharmaceutical industry. As an AI Manager, you will guide a team of engineers and data scientists, drive project execution, and collaborate closely with product and domain teams. You will be responsible for architecting production-grade systems, mentoring technical talent, and spearheading innovation through applied GenAI. This role combines strategic leadership, technical depth, and hands-on executionideal for a candidate passionate a...

About Anteriad We are not just another B2B solution provider. We're problem solvers. We believe that data is the key to unlocking effective solutions that span a range of marketing challenges - from customer acquisition to demand generation to account-based marketing. Data is at the core of everything we do. Our team works tirelessly to create powerful solutions that drive real results for our clients. Whether it's through innovative technology or deep analysis, we're committed to finding the best path to growth for every one of our customers. Why Join Our Data Engineering Team? Work with a collaborative team and provide top-rated solutions to Fortune 500 companies. This is an exciting oppor...

About Skyclad Ventures Skyclad Ventures is an engineering-led startup builder, working at the intersection of AI, IoT, mobility, and intelligent systems. We partner with exceptional founders and teams to take ideas from zero to one, building both software and hardware solutions that solve real-world problems. Our projects span AI-powered mobility, document intelligence, property tech, and computer vision, with a focus on taking bold, moonshot ideas to market fast. We operate like a high-speed startup lab small teams, big impact, and rapid iteration cycles. If you want to work on challenging problems, ship products fast, and learn directly from founders and senior engineers who've built and s...

About Us HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network ...

Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, as a part of being a distributed-first company. About the team The Cloud Access & Intelligence (CAI) org at Atlassian focuses on AI-first solutions that simplify admin experiences, automate workflows, and enhance customer support through intelligent agents. We're pushing the boundaries of LLM-based features, prompt engineering, and AI-driven automation ...

As a Technical Lead AI, you will be responsible for driving the design, development, and deployment of AI-driven solutions across multiple product lines. You should have a proven track record of supporting AI-embedded products, leading Gen AI initiatives, and establishing best practices in data pipelines, ML model lifecycle, LLMs, and MLOps. Your role will involve collaborating with cross-functional teams to architect scalable AI systems, mentor engineers, and ensure successful integration of AI capabilities into business applications. - Lead the end-to-end design and implementation of AI/ML and GenAI solutions, including Retrieval-Augmented Generation (RAG) pipelines. - Partner with product...

Join the Corporate AI Incubator team within Corporate Banking as a Gen AI QA Engineering Lead at Barclays. This role is pivotal in ensuring the quality, reliability, and compliance of cutting-edge generative AI solutions, including LLMs and retrieval-augmented generation (RAG) pipelines. You will lead QA efforts across multiple AI PODs, collaborating with data scientists, ML engineers, Data engineers and governance teams to build robust testing frameworks and automation pipelines that validate model performance, safety, and enterprise readiness. **Key Responsibilities:** - Designing and implementing QA frameworks for GenAI models, including prompt validation, output consistency, hallucinatio...

About Us Ushur delivers the world's first Customer Experience Automation platform built specifically for regulated industries. Purpose-built for delivering ideal self-service, Ushur infuses intelligence into digital experiences for the most delightful and impactful customer engagements. Equipped with guardrails and compliance-ready infrastructure, Ushur powers vertical AI Agents for healthcare, financial services and insurance use cases. Designed for rapid code-less deployment with flexible, advanced capabilities for IT and business teams, enterprises can transform customer and employee journeys at scale in the fastest time to value. About About Ushur I Ushur XOS l Ushur GenA I Title: Direct...

Role Overview: You will be responsible for designing and implementing scalable data systems focusing on Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI. Your role will involve collaborating with data scientists, engineers, and business stakeholders to deliver innovative solutions aligned with enterprise objectives. Key Responsibilities: - Design and implement enterprise-grade data architectures. - Lead initiatives related to data modeling, governance, metadata management, data lineage, and master data management. - Develop scalable data solutions to facilitate real-time inference and autonomous agent systems. - Architect and deploy end-to-end pipelines to support AI/ML wo...

Role Overview: You are an experienced AI/ML Engineer with a solid foundation in Machine Learning and Artificial Intelligence, and a minimum of one year of hands-on experience in Generative AI. Your expertise includes proficiency in Python, LLM Models, and emerging techniques such as Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic AI systems. 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. - Collabora...

As a Senior Data Scientist at AuxoAI, you will play a significant role in designing, deploying, and scaling production-grade ML systems. Your expertise in AI, machine learning engineering (MLE), and generative AI will be utilized to work on large language model (LLM)-based pipelines, AI copilots, and agentic workflows to build impact-first AI applications. This role requires a balance between cutting-edge research and production rigor, along with a passion for mentoring team members. **Key Responsibilities:** - Own the full ML lifecycle: model design, training, evaluation, deployment - Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection - Fine-tune LLMs ...

As a Mid-Level LLM Application Developer at Dentsu Creative, you will be responsible for designing and developing intelligent applications using Azure OpenAI, Python, and LLM frameworks. Your role will involve collaborating with cross-functional teams to implement innovative AI solutions and create scalable solutions such as chatbots, knowledge assistants, and RAG-based systems. Responsibilities: - Design and develop LLM-powered applications using Python and Azure OpenAI services. - Construct end-to-end Retrieval-Augmented Generation (RAG) pipelines with vector databases and semantic search tools. - Develop conversational agents and virtual assistants with frameworks like LangChain or LlamaI...

Role Overview: You will be responsible for building, deploying, and optimizing AI agents to support research automation and ESG analysis. As the primary technical specialist, you will collaborate with research and product teams to create scalable AI-driven solutions in a hybrid (remote and onsite) work environment. 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., ...

You will play a crucial role as an AI/ML & Generative AI Developer in our AI Innovation Team, contributing to the creation of cutting-edge Generative AI, LLM-powered applications, and Agentic AI systems for enterprise solutions. Your responsibilities will include: - Developing and deploying AI/ML models and Generative AI applications for various enterprise challenges. - Fine-tuning and integrating LLMs with LangChain, LlamaIndex, and RAG pipelines. - Constructing Agentic AI systems with multi-step reasoning and decision-making capabilities. - Designing scalable data ingestion and retrieval pipelines for structured and unstructured data. - Collaborating with Data Engineers, Product Managers, ...

We are seeking an experienced NLP Scientist to design and develop state-of-the-art NLP and LLM-based solutions for text, speech, and conversational AI systems.

Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, as a part of being a distributed-first company. About the team The Cloud Access & Intelligence (CAI) org at Atlassian focuses on AI-first solutions that simplify admin experiences, automate workflows, and enhance customer support through intelligent agents. We're pushing the boundaries of LLM-based features, prompt engineering, and AI-driven automation ...

Generative AI Engineer (LLMs & RAG) Healthcare SaaS Location: Remote / Hyderabad (preferred) Experience: 5+ years Employment Type: Full-time Domain: Generative AI, Healthcare, SaaS About the Role We are looking for a hands-on Generative AI Engineer with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) . In this role, you will architect and deliver production-grade AI systems that combine unstructured and structured healthcare data to power a next-generation clinical assistant. You will work at the cutting edge of Generative AI and healthcare innovation , helping design safe, scalable, and impactful solutions that directly influence real-world patient outcome...

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Role & responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retr...

About the Role Uplevyl is seeking a Senior AI Engineer to lead the design and deployment of AI-powered, agentic workflows that shape the future of personalized insights. You will focus on vector search, retrieval-augmented generation (RAG), and intelligent automation , working closely with full-stack engineers and product teams to bring scalable GenAI features into production. This role is ideal for someone passionate about applied AI and engineering with the ability to build, optimize, and deploy AI systems that go beyond prototypes and into real-world, production-grade systems . Key Responsibilities AI & Agentic Workflows Design and implement RAG pipelines for semantic search, personalizat...