12 Rag Frameworks Jobs

As an AI Engineering Intern at AskGalore Digital, you will be part of a cutting-edge AI consulting company that focuses on leveraging artificial intelligence to transform businesses and marketing strategies. You will have the opportunity to work on real-world AI applications in marketing, content, and computer vision. Key Responsibilities: - Assist in developing and deploying RAG-based solutions. - Work on Computer Vision projects including image/video processing, recognition, and classification. - Explore and experiment with LLMs (Large Language Models) and their applications. - Support the team in training, testing, and fine-tuning AI/ML models. - Research and present innovative applicatio...

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...

Location : Pune / India (Remote/Hybrid) Engagement : Contract, 2030 hours/week (flexible) Compensation : Competitive, project-based Role Split : Development, Data Engineering, DevOps About Join our agile team building agentic AI workflows for SMBs and enterprises. You will prototype and deploy end-to-end AI solutions while managing the infrastructure that powers them. Key Responsibilities Build full-stack AI applications with Python backend (FastAPI/Django) and React/Vue frontend Integrate LLMs (GPT-4, Claude, Llama) into production workflows with RAG frameworks, including CoT/ToT reasoning frameworks Design data pipelines and optimise both SQL/NoSQL databases Develop APIs and automation scr...

The Financial Crimes & Fraud Prevention Analytics team at Citi is looking for a skilled individual to join as a C14 (people manager) reporting to the Director/Managing Director, AIM. This role will involve leading a team of data scientists based in Pune/Bangalore, focusing on the development and implementation of Machine Learning (ML) /AI/Gen AI models for Fraud Prevention. The successful candidate will be responsible for designing, developing, and deploying generative AI based solutions, analyzing data to understand fraud patterns, and developing models to achieve overall business goals. Additionally, the individual will collaborate with the model implementation team, ensure model documenta...

As a part of the Citi Analytics & Information Management (AIM) team in the Financial Crimes & Fraud Prevention Analytics unit within the Fraud Operation team, you will have the opportunity to lead a team of data scientists in Pune/Bangalore. Reporting to the Director/Managing Director, AIM, your primary focus will be to develop and implement Machine Learning (ML)/AI/Gen AI models for fraud prevention. You will analyze data, identify fraud patterns, and work towards achieving overall business goals. Additionally, you will collaborate with the model implementation team, ensure model documentation, and address questions from model risk management (MRM) while adapting to changing business needs....

As an AI Engineer specializing in GenAI & ML Solutions at a leading global credit rating and financial analytics organization, you will be at the forefront of AI innovation in finance technology with exposure to cutting-edge GenAI techniques. Your primary responsibility will be to develop and deploy advanced AI solutions using the latest Generative AI techniques, including Retrieval-Augmented Generation (RAG) pipelines and designing Agentic AI systems to automate complex decision-making workflows. You will also be tasked with fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation and building scalable AI workflows while adhering to robust engi...

As a Senior AI Engineer at our leading global credit rating and financial analytics organization, you will play a key role in leveraging cutting-edge AI and analytics to redefine how financial intelligence is powered and delivered. In this role, you will have the opportunity to work on state-of-the-art solutions and drive our AI capabilities into the future. You will be at the forefront of AI innovation in finance technology, with exposure to next-gen GenAI techniques. Collaborating with dynamic global teams spanning finance, technology, and client solutions, you will work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Your responsibilities will includ...

Roles and Responsibilities: Develop and maintain web applications using React and Python Integrate disparate structured and unstructured datasets and documents into a vector database for an effective RAG system Ability to develop complex applications in LLM, including developing chatbots and integration with Agents Build an auditing system for monitoring usage, ensuring security and cost efficiency. Build a robust data pipeline system to ingest and manage data from various sources. Optimize GenAI applications for enhanced performance, scalability, and reliability. Required skill set Experience in developing applications using data, AI/ML, web technologies using Python and React Experience wi...

You should have 6-10+ years of experience in AI/ML development, including at least 3 years of hands-on experience in Generative AI, RAG frameworks, and Agentic AI systems. As a Generative AI Engineer, you will be responsible for designing, developing, and optimizing RAG pipelines using frameworks such as LangChain, LlamaIndex, or custom-built stacks. You will also implement Agentic AI architectures involving task-based agents, stateful memory, planning-execution workflows, and tool augmentation. Additionally, you will perform model fine-tuning, embedding generation, and evaluation of LLM outputs while incorporating human and automated feedback loops. Building and enforcing guardrails to ensu...

Our team is a part of Oracle CSS who solutions, designs and develops AI applications for Managed Customer requirements. You'll join a team of talented, driven, and diverse individuals, each bringing unique perspectives and expertise. Our team develops cutting-edge applications across both AI and non-AI domains. Your expertise will be pivotal in building end to end software solutions flows that include Architecture design, database design, conversational AI solutions, Agentic flows using LLM and other cutting-edge Machine learning techniques. In this role, you will design, develop, and build scalable services using agile methods leveraging the latest and greatest advancements in software deve...

Were Hiring: AI Developer | Generative AI, LLMs, Vision Models | Hybrid | 2 PM 11 PM Shift Are you passionate about building cutting-edge AI solutions? Join us at Xebia , where innovation meets impact. Were looking for an experienced AI Developer (5+ years) with strong expertise in Python, LLMs, vision models, and generative AI , ready to work on transformative projects using tools like Azure AI Studio, RAG frameworks, and vector databases . What We’re Looking For: Programming : Python (expert-level), REST APIs, Git AI/ML : TensorFlow / PyTorch, LLMs, vision models, generative AI Azure : Azure AI Studio, Azure Blob Storage, Event Hub, Kafka Frameworks : LlamaIndex, RAG, Agentic frameworks Po...

Oracle is investing heavily in Generative AI, so having a good understanding and experience in leveraging the capabilities of Large Language Models would be useful. In this role, you will design, develop, and build scalable services using agile methods leveraging the latest and greatest advancements in software development and GenAI to solve complex business problems intelligently. Your expertise will be pivotal in building end to end software solutions flows that include:- data base design, conversational AI solutions, Agentic flows using LLM and other cutting-edge Machine learning techniques. You will partner with product managers, software engineers, and operation teams to leverage engine...