10 Graphrag Jobs

GraphRAG & Agent Systems, design, build and deploy production-ready GraphRAG (Graph + Retrieval-Augmented Generation) systems and autonomous AI agents, Develop and maintain robust data ingestion pipelines, Fine-tune and prompt engineer

Hello Candidate, Greetings from Hungry Bird IT Consulting Services Pvt Ltd. We are hiring Data Science Architect for our client. Job Title: Data Science Architect - Python & AI/ML Location: Hyderabad Type: Full-Time Job Summary: We are looking for a skilled and passionate Data Science Architect - Python & AI/ML to design and implement advanced AI systems using AWS technologies. You will work on cutting-edge solutions like Retrieval Augmented Generation (RAG), GraphRAG, and agentic AI systems, leveraging the latest in GenAI tools and techniques. Key Responsibilities: Design and develop complex Generative AI solutions using AWS services Implement RAG and GraphRAG architectures Build scalable AI systems with AWS Bedrock and SageMaker Develop agent-based AI systems with reasoning capabilities Use vector databases and advanced ML methods for custom AI solutions Stay updated and integrate emerging GenAI technologies Optimize AI/ML models and enhance performance Required Skills & Expertise: Generative AI: RAG and GraphRAG methodologies LoRA (Low-Rank Adaptation) Agentic AI design principles Prompt engineering AI model fine-tuning AWS & Cloud: AWS Bedrock and SageMaker Cloud-native AI architecture AWS AI/ML services Technical Skills: Python (advanced) Strong understanding of LLMs and ML architectures Experience with vector databases Frameworks & Tools: PyTorch, TensorFlow, Hugging Face LangChain, LlamaIndex Nice to Have: Experience in enterprise AI strategy development Performance tuning of GenAI systems (Interested candidates can share their CV with us at or reach us at aradhana@hungrybird.in .) PLEASE MENTION THE RELEVANT POSITION IN THE SUBJECT LINE OF THE EMAIL. Example: KRISHNA, HR MANAGER, 7 YEARS, 20 20DAYS NOTICE. Name: Position applying for: Total experience: Notice period: Current Salary: Expected Salary: Thanks and Regards Aradhana Sonkar +91 9959417171 aradhana@hungrybird.in

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: We are seeking a highly skilled Senior Data Scientist with a deep understanding of advanced machine learning techniques and frameworks. The ideal candidate will have extensive experience in Python, graph neural networks, and scalable machine learning pipelines. If you are passionate about developing innovative solutions and driving impactful projects, we want to hear from you! This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists. Job Description: Essential Responsibilities: Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Minimum Qualifications: Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. Preferred Qualification: 5+ years experience in developing and optimizing machine learning models using Python with TensorFlow, Keras, and/or PyTorch. Expertise in Graph Neural Networks (GNNs) for node and link prediction, graph embedding, and graph-based classification. Proven experience in customer segmentation and/or recommendation systems tailored to client needs. Work with transformer models (e.g., BERT, GPT) in real applications, particularly within GenAI workflows. 5+ years experience in building and maintaining scalable ML pipelines using tools such as Kubeflow, MLFlow, Vertex AI, and SageMaker. 5+ years experience in processing and analyzing very large datasets using Spark or similar frameworks. Working with vector databases (e.g., Pinecone) for embedding-based applications including search and similarity tasks. Utilize GCP Services to deploy models at scale, particularly BigQuery and Vertex AI. Experience with GraphRAG and Knowledge Augmented Generation (KAG). Knowledge of Deep Neural Networks, Multi-task Learning (MTL) and AdTech. Subsidiary: PayPal Travel Percent: 0 - PayPal is committed to fair and equitable compensation practices. Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit . The US national annual pay range for this role is $123,500 to $212,850 P ayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit . For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit . Who We Are: to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. Notice to Applicants and Employees who reside within New York City. Click to view the notice.

Are you a graduating student from the class of 2025/26 seeking an internship opportunity Do you possess a keen interest in engineering and AgenticAI, aspiring to build your career in GenAI If so, we present you with an exciting chance to explore and grow. Your qualifications and essential skills should include a B.Tech degree in Computer Science, Mathematics, Engineering, or a related field by 2025/26. Proficiency in Python is a must-have skill. Additionally, familiarity or experience with AI frameworks such as Tensorflow, Pytorch, RAG, CRAG, GraphRAG, HuggingFace, LangChain, LangGraph, VectorDB, MCP, and AWS is highly desirable. The ability to commit to a full-time internship, work independently with minimal supervision, demonstrate a passion for excellence, showcase creative thinking, possess commercial awareness, and maintain a focus on achieving set goals are all important attributes. As an intern, you can look forward to a range of perks and benefits, including the potential opportunity for a job offer based on your performance. You will have the chance to collaborate with experienced entrepreneurs, immerse yourself in cutting-edge research and technology, and contribute to an exciting and rapidly expanding field. Remuneration may also be provided based on your performance. This internship opportunity is full-time and spans a duration of 2-3 months. The work setting is hybrid, offering a mix of in-person and remote work experiences.,

The Digital Workforce team at Red Hat's Data and AI organization is dedicated to developing strategic AI agents that enhance human capabilities, streamline workflows, and optimize operations within the enterprise. As a member of our fast-paced development team, you will play a crucial role in architecting and designing cutting-edge applications that leverage Generative AI technology. Collaboration with various teams, stakeholders, product owners, and program managers will be essential as you contribute to the design, documentation, and development of innovative solutions within Red Hat's Digital Workforce. We are looking for skilled engineers who can lead the technological advancements and design of key components, shaping the future of digital agents at Red Hat. The ideal candidate will possess strong technical skills, a commitment to quality and open source, a passion for innovation, excellent communication abilities, and thrive in a dynamic, startup-like environment. Your responsibilities will include: - Architecting, designing, documenting, and developing applications using Python and frameworks such as LangChain, LangGraph, LLamaStack - Leading the implementation of Agentic AI applications - Implementing scalable open-source solutions with distributed computing capabilities using Machine Learning models on OpenShift AI - Designing new features with RAG, RAFT, GraphRAG, InstructLab, and their respective pipelines - Developing and optimizing retrieval-augmented generation (RAG) pipelines - Collaborating with various teams to analyze business requirements and implement data models and business logic - Mentoring and coaching a distributed team of engineers - Communicating effectively with stakeholders and project team members to ensure visibility of development efforts - Reviewing code merge requests for new features - Building and deploying applications on Red Hat OpenShift Platform-as-a-Service (PaaS) and public clouds like Google Cloud Platform and AWS - Ensuring non-functional requirements such as performance, scalability, resiliency, maintainability, and security are met according to defined standards - Resolving bugs, performance issues, and other production application issues Requirements: - Strong experience in software engineering - Bachelor's degree in Computer Science, Computer Engineering, or related field - 5-7 years of professional coding experience, with at least 1 year using Python - Excellent communication skills in English - Problem-solving and troubleshooting skills - Understanding of web application infrastructure and fundamentals like REST and HTTP - Knowledge of public cloud concepts and development practices - Experience with Distributed Systems - Familiarity with LangGraph, LangChain, Autogen, and/or Python/Java-based AI libraries for GenAI applications - Experience with continuous delivery (CD) tools like Jenkins and PaaS platforms like OpenShift/Kubernetes - Presentation and public speaking skills - Passion for solving challenging problems and working with emerging technologies Additional skills considered a plus: - Experience with AI Agentic frameworks - Experience with MCP servers - Experience working with LLMs - Building Chatbots with Slack Red Hat is a global leader in enterprise open source software solutions, delivering high-performing Linux, cloud, container, and Kubernetes technologies. With associates in over 40 countries, we offer flexible work environments to accommodate diverse roles. At Red Hat, all associates are encouraged to share their best ideas and contribute to solving complex problems. Our inclusive and open environment fosters innovation and collaboration across diverse backgrounds and experiences. Inclusion at Red Hat: Red Hat's culture is rooted in the principles of transparency, collaboration, and inclusion. We value diverse perspectives and backgrounds, empowering individuals to share ideas, challenge conventions, and drive innovation. We strive to provide equal opportunity and access to all, celebrating the voices and contributions of individuals from various backgrounds worldwide. Equal Opportunity Policy (EEO): Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. For assistance with completing our online job application, please contact application-assistance@redhat.com. General inquiries regarding job application status will not receive a response.,

Location: Remote / Pan India , Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Notice Period: Immediate iSource Services is hiring for one of their client for the position of AI/ML Engineer. About the Role - We are looking for a highly skilled ML Engineer with experience in cutting-edge design patterns and AI-powered applications. The ideal candidate will have a deep understanding of agentic design patterns, multi-modal RAG Systems, and practical product development experience. Design and implement Agentic Design Patterns, such as ReAct and ReWoo, to enhance the functionality and adaptability of AI systems. Utilize LLMCompiler to create efficient and scalable models and leverage LLM as Judge for decision making processes. Develop and optimize Multi-modal RAG systems, integrating diverse data modalities for advanced retrieval-augmented generation. Implement and maintain GraphRAG solutions for enhanced reasoning and contextual information retrieval. Collaborate with cross-functional teams to translate cutting-edge AI research into production-ready solutions. Contribute to the development of scalable and robust AI-powered products. Requirements: Strong knowledge of Agentic Design Patterns (ReAct, ReWoo). Proficiency in LLMCompiler and LLM as Judge methodologies. Experience building Multi-modal RAG and GraphRAG systems. 5+ years of experience in AI/ML development, including practical product development experience. Expertise in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and large language models (LLMs). Strong problem-solving and analytical skills with a focus on innovation. Preferred Skills: Familiarity with distributed systems and cloud platforms. Experience in data engineering and model optimization. Knowledge of graph databases and advanced information retrieval techniques. ML/AI development, Python Agentic Design Patterns (ReAct, ReWoo). LLMCompiler, LLM as judge. ML models, ML frameworks.

Company Name - Fission Labs Apply Here - https://app.fabrichq.ai/jobs/0e46cebe-8b91-4a96-9061-950b66dc4d54 About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Key Responsibilities Design and architect complex Generative AI solutions using AWS technologies Develop advanced AI architectures incorporating state-of-the-art GenAI technologies Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions Architect scalable AI systems using AWS Bedrock and SageMaker Design and implement agentic AI systems with advanced reasoning capabilities Develop custom AI solutions leveraging vector databases and advanced machine learning techniques Evaluate and integrate emerging GenAI technologies and methodologies Technical Expertise Requirements Generative AI Technologies Expert-level understanding of: Retrieval Augmented Generation (RAG) Vector Database architectures Agentic AI design principles AWS AI Services Comprehensive expertise in: AWS Bedrock Amazon SageMaker AWS AI/ML services ecosystem Cloud-native AI solution design Technical Skills Advanced Python programming for AI/ML applications

Company Name - Fission Labs Apply Here - https://app.fabrichq.ai/jobs/0e46cebe-8b91-4a96-9061-950b66dc4d54 About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Key Responsibilities Design and architect complex Generative AI solutions using AWS technologies Develop advanced AI architectures incorporating state-of-the-art GenAI technologies Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions Architect scalable AI systems using AWS Bedrock and SageMaker Design and implement agentic AI systems with advanced reasoning capabilities Develop custom AI solutions leveraging vector databases and advanced machine learning techniques Evaluate and integrate emerging GenAI technologies and methodologies Technical Expertise Requirements Generative AI Technologies Expert-level understanding of: Retrieval Augmented Generation (RAG) Vector Database architectures Agentic AI design principles AWS AI Services Comprehensive expertise in: AWS Bedrock Amazon SageMaker AWS AI/ML services ecosystem Cloud-native AI solution design Technical Skills Advanced Python programming for AI/ML applications

About the Job : The Digital workforce team is part of Red Hats Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. In this role, you will work as a member of a highly dynamic, and fast-paced team. As part of the development team, youll need to be creative, motivated, and proficient in architecting and designing cutting-edge applications that leverage Generative AI. You will work closely with different teams, stakeholders, product owners, and program managers to design, document, and develop solutions. We are seeking talented engineers to spearhead the technology and design of key components within Red Hat's Digital Workforce, shaping the future of digital agents. The ideal candidate will possess strong technical abilities, a commitment to quality and open source, a drive for innovation, excellent communication and teamwork skills, and will excel in a dynamic, startup-like setting. What will you do? Architect, design, document, and develop applications in Python and frameworks like LangChain, LangGraph, LLamaStack. Architect and lead the implementation of Agentic AI applications. Architect and lead the implementation of scalable open-source solutions with distributed computing capabilities using Machine Learning models, running on OpenShift AI Architect and design new features with RAG, RAFT, GraphRAG, InstructLab, and their pipelines Develop and optimize retrieval-augmented generation (RAG) pipelines Collaborate with product owners, program managers, different teams, and engineering managers to analyze and clarify business requirements to implement data models and business logic Mentor, influence, and coach a distributed team of engineers Effectively communicate to stakeholders and project team members to ensure proper visibility of development efforts Review code merge requests from other team members for new features Build and deploy applications to Red Hat OpenShift Platform-as-a-Service (PaaS), public clouds, i.e., Google Cloud Platform, AWS, etc. Ensure non-functional requirements, including performance, scalability, resiliency, maintainability, security, etc., are met according to defined standards Resolve bugs, performance problems, and other issues with production applications What will you bring? Strong experience in a software engineering role Bachelor's degree in Computer Science, Computer Engineering or related field 10+ years of professional coding, at least a year using Python Excellent communication skills, solid written and verbal communication skills in English; ability to communicate effectively in a global team Problem-solving and troubleshooting skills including performing root cause analysis Understanding of web application infrastructure and fundamentals like REST and HTTP Understanding of public cloud concepts and development practices Knowledge of Distributed Systems Experience with LangGraph, LangChain, Autogen and/or Python/ Java-based AI libraries for GenAI applications Experience with continuous delivery (CD) like to build and deploy pipelines like Jenkins, Platform-as-a-Service (PaaS) like OpenShift/Kubernetes Presentations skills and public speaking skills for conferences and demos Enjoys solving challenging problems and working with emerging technologies The following are considered a plus: Experience with AI Agentic frameworks Experience with MCP servers Experience working with LLMs Experience in building Chatbots with Slack Personal qualities and communication: Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills.

• Python ecosystem/API for graph database • GraphRAG for for graph database • MCP server for graph database • AI tooling integration, e.g. LangChain, LlamaIndex, NER