76 Rag Architecture Jobs

As an AI Data Analyst at Arrk Group India, you will be responsible for leveraging your 8+ years of professional experience and leadership in tech projects to work on cutting-edge AI solutions. Your expertise in Python, Machine Learning, AI APIs, and Large Language Models (LLMs) will be crucial in developing vector-based search and data-driven business insights. Below are the key responsibilities and qualifications required for this role: **Role Overview:** - You will be working on cutting-edge AI solutions, including vector-based search and data-driven business insights. **Key Responsibilities:** - Perform data exploration, profiling, and cleaning of large datasets - Design, build, and evalu...

TCS is Hiring For Gen AI Developer Role : Senior Developer Skill : Gen AI Job Location : Pune, Hyderabad, Bhubaneswar, Bangalore ,Noida, Gurgaon,Kochi Experience : 6 - 12 years Must have skills : Hands on experience using python and APIs like flask/Django/fastAPI Hands on experience with tools such as Langchain, llamaidnex, streamlit. Hands on experience with semi structured and unstructured data. Must have implemented a use case using LLMs Must have implemented a use case using prompt engineering and fine-tuning of LLMs using LoRA/ PEFT. Must have implemented a use case using RAG architecture (Chunking, Indexing, Embedding). Multi-agent framework is an added advantage.

As an AI Engineer, your role involves designing and implementing intelligent systems using agentic AI capable of autonomous decision-making and task execution. You will integrate advanced machine learning models with reasoning, planning, and interaction capabilities to build scalable, intelligent applications. Your expertise in LLMs, prompt engineering, and web development will be crucial for deploying AI-powered web applications successfully. Key Responsibilities: - Design and develop agentic AI systems with autonomous task execution capabilities. - Integrate Large Language Models (LLMs) with reasoning, planning, and interaction frameworks. - Implement Retrieval-Augmented Generation (RAG) a...

As a Senior AI And Automation Developer at EY, you will be responsible for leading advanced projects that leverage technologies like Large Language Models (LLMs), IDP, NLP, Azure Functions, Python, Graph and Vector Databases. Your role will involve designing and delivering enterprise-grade AI solutions, mentoring junior team members, and ensuring technical excellence. **Responsibilities:** - Lead development and implementation of AI & Automation solutions aligned with business objectives - Architect and deploy Proof of Concepts (POCs) and Points of View (POVs) across industry verticals - Ensure robust integration of AI solutions into enterprise systems and cloud environments (Azure, AWS, GCP...

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. Sr. Agentic AI Engineer Job Description Cybersecurity is seeking a Sr. Agentic AI Engineer to join the Cyber Analytics and Data Science team. This role focuses on designing, building, and operationalizing agentic AI systems, multi-agent frameworks, and intelligent automation solutions that enhance our cybersecurity posture. The ideal candidate will leverage advanced machine learning, LLM engineering, reasoning systems, and data engineering to solve enterprise-scal...

Role Overview: As a GenAI Developer specializing in Python and Agentic AI, you will be responsible for developing and deploying GenAI applications using Python and modern AI frameworks. Your role will involve building and optimizing RAG pipelines, integrating LLMs, and managing vector databases. Collaboration with cross-functional teams, including data scientists, DevOps, and product managers, will be essential. Additionally, you will implement and maintain agentic AI workflows using orchestration tools while ensuring code quality, scalability, and performance of AI-driven applications. Staying updated with the latest advancements in GenAI and agentic systems will be crucial to your success....

Qualification We are looking for a Software Engineer who combines deep data engineering expertise with hands-on experience in Generative AI and Agentic AI system development on AWS Cloud. This role is ideal for someone who can design, build, and deploy production-grade GenAI workflows integrating LLMs, vector databases, and orchestration frameworkswith the same rigor as a traditional data system. Required Skills & Experience 610 years of total experience in Data Engineering with strong AWS background. Proficiency in Pyspark with hands-on production grade experience. Hands-on experience with GenAI solutions in real-world environments (not just demos or PoCs). Working knowledge of Agentic AI f...

As an experienced MERN Stack Developer, you will be responsible for independently building and scaling full-stack applications from scratch. Your strong skills in TypeScript, React.js, Node.js, Redux, and REST APIs are essential, along with a solid understanding of microservices architecture, mobile API integrations, and responsive design. You will work on scalable systems, enterprise-grade platforms, and AI-integrated products. Key Responsibilities: - Develop and maintain full-stack web applications using React.js (with TypeScript) and Node.js (Express/NestJS). - Build and document robust RESTful APIs and mobile-ready endpoints. - Implement and consume webhooks for third-party integrations ...

As an experienced professional, you will be responsible for the following tasks: - Implementing ML/AI solutions for enterprise-level projects on Azure/AWS cloud - Effectively communicating with clients to brainstorm solutions - Conducting research and development primarily focused on AI/ML implementations - Implementing RAG architecture for confidential data use cases - Applying deep learning techniques and leveraging machine learning experience - Developing and implementing generative AI models using cutting-edge techniques and frameworks - Collaborating with cross-functional teams to comprehend project requirements and design solutions that meet business needs - Researching and experimenti...

As an experienced professional with 7 years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud, you will play a crucial role in the following key responsibilities: - Communicate effectively with clients to brainstorm solutions - Conduct research and development primarily on AI/ML implementations - Implement RAG architecture for confidential data use case - Apply deep learning techniques and machine learning experience - Develop and implement generative AI models using state-of-the-art techniques and frameworks - Collaborate with cross-functional teams to understand project requirements and design solutions addressing business needs - Research and experiment...

About the Role: We are looking for a Software Engineer who combines deep data engineering expertise with hands-on experience in Generative AI and Agentic AI system development on AWS Cloud. This role is ideal for someone who can design, build, and deploy production-grade GenAI workflows integrating LLMs, vector databases, and orchestration frameworkswith the same rigor as a traditional data system. Key Responsibilities: Design and maintain data pipelines and AI data infrastructure on AWS (Glue, Lambda, S3, Redshift, Step Functions, Athena, etc.). Develop and deploy LLM-based applications and Agentic AI workflows using frameworks like LangChain, LlamaIndex, or AutoGen. Build RAG (Retrieval-Au...

As an experienced ML/AI professional, you will be responsible for implementing ML/AI solutions for enterprise-level projects on Azure/AWS cloud. You will effectively communicate with clients to brainstorm solutions and conduct research and development primarily focusing on AI/ML implementations. Your role will involve implementing RAG architecture for confidential data use cases, applying deep learning techniques, and developing generative AI models using state-of-the-art techniques and frameworks. Key Responsibilities: - Collaborate with cross-functional teams to understand project requirements and design solutions addressing business needs - Research and experiment with new AI algorithms, ...

As an experienced professional in the field of ML/AI, you will be responsible for the following: - Implementing ML/AI solutions for enterprise-level projects on Azure/AWS cloud, ensuring effective communication with clients to brainstorm solutions. - Conducting research and development primarily focused on AI/ML implementations, including the implementation of RAG architecture for confidential data use cases. - Applying deep learning techniques and leveraging machine learning experience to deliver high-quality solutions. - Developing and implementing generative AI models using state-of-the-art techniques and frameworks, collaborating with cross-functional teams to design solutions that meet ...

Role & responsibilities Mandatory Skills: Azure AI Azure OpenAI Mandatory Skills Description: - Hands-on experience with LLM/NLP and RAG architecture - Practical experience with Python - Familiarity with LangChain and LangGraph - WEB API experience - Experience with AI Foundry - Experience working in a large company, navigating complex security requirements to successfully deliver projects. - Ability to build solutions that deliver explainable and context-aware outputs - Team-oriented with strong communication skills Nice-to-Have Skills Description: - Experience with OpenAI - Familiarity with C# Preferred candidate profile

We are seeking a highly experienced GenAI Lead with 7- 12 years of total experience, including strong hands-on expertise in Generative AI solution development, LLM integration, prompt engineering, and end-to-end AI project delivery. The ideal candidate will lead the design, development, and deployment of GenAI -driven systems across multiple business domains, including automation, content generation, knowledge engineering, and intelligent agentic workflows. The role involves architecting LLM pipelines, evaluating open-source and commercial models, fine-tuning, embedding generation, vector databases, and building scalable production-grade AI solutions. You will collaborate with cross-function...

Job Title: AI Engineer (Azure AI Foundry & Generative AI) Location: Remote Experience: 3+ Years Mandate Skills:- Azure Open AI, Azure AI Foundry, Azure AI Search , Python About the Role We are seeking an experienced AI Engineer to design and deliver enterprise-grade AI applications using Azure AI Foundry , Generative AI , and Retrieval-Augmented Generation (RAG) architectures. Key Responsibilities Design, develop, and deploy RAG pipelines integrating Azure OpenAI with Azure AI Search (Vector DB). Build and maintain AI Foundry Knowledge Bases connected to Fabric semantic models and OneLake . Implement embedding models and manage vector indexes for unstructured data retrieval and grounding. De...

Company Overview: IRISS, Inc. is a leading innovator in the field of advanced technological solutions, providing cutting-edge products and services to enhance safety, reliability, and efficiency of assets across various industries. Our commitment to pushing boundaries and delivering exceptional solutions has positioned us as a trusted partner for clients seeking top-tier technical expertise in Condition Based Monitoring. IRISS Inc - Leader in Electrical Maintenance Safety Solutions IRISS - YouTube Position: AI Engineer (Conversational Analytics & GenAI Systems) Location: Bengaluru, India About the Product: You will work on IRISS's conversational analytics platform, a GenAI-powered chatbot th...

Job Title: AI/ML Engineer Experience Required: 4 to 8 Years CONTRACTUAL JOB: 3 MONTHS Location: Pune (Work from Office) About the Role We are seeking a skilled and passionate AI/ML Engineer with at least 4 years of experience to join our growing team. The ideal candidate will have strong expertise in designing, developing, and deploying machine learning and deep learning models, including Retrieval-Augmented Generation (RAG) systems, along with the ability to translate business problems into data-driven solutions. Key Responsibilities Design, build, and deploy scalable machine learning and AI models for real-world applications. Work closely with data scientists, engineers, and business stake...

Role Overview: As a Quality Assurance (QA) Engineer at OpenText, you will be responsible for validating Generative AI systems, multi-agent workflows, and Retrieval-Augmented Generation (RAG) pipelines developed using frameworks like LangGraph, LangChain, and Crew AI. You will work closely with AI engineers, data scientists, and product owners to ensure the accuracy, reliability, and performance of LLM-powered enterprise applications. Key Responsibilities: - Develop and execute test cases for validating RAG pipelines, LLM integrations, and agentic workflows. - Validate context retrieval accuracy, prompt behavior, and response relevance across different LLM configurations. - Conduct functional...

Sonata Software Overview In today's market, there is a unique duality in technology adoption. On one side, extreme focus on cost containment by clients, and on the other, deep motivation to modernize their Digital storefronts to attract more consumers and B2B customers. As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Plat formation playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients. Headquartered in Bengaluru, India, Sonata has a strong global presen...

Role & responsibilities Position name- ML Engineer Exp- 8+ years Hyderabad Only Send Cv on komal@contactxindia.com , call on 9987334349 JD- Key Responsibilities: ML Engineer (MLE) 11-14 years of experience in data engineering and ML engineering 7-8 years as a data engineer before transitioning to ML engineering roles, feature engineering, feature stores Experience with SQL, NoSQL, graph databases, Oracle/Snowflake/Cloudera, Vector DBs, RAG architecture, prompt tuning Experience with at least one cloud platform. Strongly preferred: AWS, Sagemaker, Bedrock, AWS Glue, EMR, Lambda, IAM, Athena, Redshift, Kakfa Experience creating, monitoring and fixing model pipelines/data pipelines for data at ...

We are seeking a skilled AI Engineer with strong hands-on experience in Azure AI and Machine Learning services. The ideal candidate will design, develop, and deploy scalable AI/ML and Generative AI solutions leveraging Azure Cloud technologies, Microsoft Fabric, and Azure AI Foundry to solve complex business challenges and drive innovation. Key Responsibilities Design, develop, and deploy AI/ML models using Azure Machine Learning, Azure Databricks, and Microsoft Fabric. Build and operationalize LLM-based solutions leveraging Azure AI Foundry, Azure OpenAI, and Cognitive Services. Implement RAG-based architectures using Azure AI Search, Vector Databases, and LangChain or LangGraph frameworks....

As a Senior AI Engineer at Teradata, you will be responsible for developing intelligent, scalable, and cloud-native AI systems. Your focus will be on building advanced agent-based architectures and runtime components that drive next-generation AI and LLM-driven solutions. **Role Overview:** You will be tasked with: - Building and optimizing AI and LLM-based agents, including runtime components for orchestration, data retrieval, and execution across distributed environments. - Leveraging Retrieval-Augmented Generation (RAG) techniques, vector stores, and NLP pipelines to enable intelligent automation and conversational capabilities. - Working with MCP servers, Python, and containerized deploy...

Role Overview: As an AI Engineer specializing in Conversational Analytics & GenAI Systems at IRISS Inc, you will be working on the company's conversational analytics platform, a GenAI-powered chatbot that transforms natural language queries into validated, compliant, and tenant-aware SQL and visual insights. Your primary responsibility will be to design, develop, and maintain the AI chatbot platform that serves as the intelligence layer for the SaaS ecosystem. This will involve architecting end-to-end conversational pipelines, integrating various technologies, and partnering with other engineering teams to embed AI features directly into user workflows. Key Responsibilities: - Design and imp...

As a Senior Staff AI Engineer at Teradata, you will play a crucial role in developing intelligent, scalable, and cloud-native AI systems. Your responsibilities will include: - Building and optimizing AI and LLM-based agents, along with runtime components for orchestration, data retrieval, and execution across distributed environments. - Leveraging Retrieval-Augmented Generation (RAG) techniques, vector stores, and NLP pipelines to enable intelligent automation and conversational capabilities. - Working with MCP servers, Python, and containerized deployments (Docker, Kubernetes) to deliver resilient, observable, and scalable cloud-native services. - Employing AI-assisted development tools (e....