8 Rag Frameworks Jobs

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. Your role as a subject matter expert (SME) in ML/AI/Gen AI will require a strong understanding of AI and ML concepts to guide your team effectively. You will lead a team of data scientists in developing and implementing ML/AI/Gen AI models on various platforms, providing technical leadership and ensuring 100% execution accuracy. Your expertise in customizing and fine-tuning RAG frameworks, designing new frameworks, and implementing state-of-the-art ML/AI/Gen AI algorithms will be crucial in meeting and exceeding project requirements. To excel in this role, you must possess a minimum of 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques. A strong knowledge of model development stages, industry best practices, and the ability to recommend appropriate algorithms for business solutions are essential. Your proficiency in coding, Bigdata environments, and various ML/DL applications will be instrumental in delivering projects successfully. Additionally, you should have experience in model execution and governance in any domain. As a people manager overseeing a team of 15+ data scientists, some of whom may be managers themselves, your responsibilities will include managing their career progression, conflict resolution, performance management, coaching, mentorship, and technical guidance. You will be expected to set high performance standards, provide mentorship, and retain talent while effectively managing attrition and career mobility. Your ability to communicate complex analytical concepts to both technical and non-technical audiences, influence business outcomes, and drive innovative solutions will be critical in this role. With excellent project management skills, strategic thinking abilities, and a proactive approach to risk mitigation, you will play a key role in leading the fraud operation function within AIM Financial Crimes and Fraud Prevention Analytics. If you are passionate about leveraging AI and ML technologies to combat financial crimes and fraud, and possess the requisite experience and skills outlined above, we encourage you to apply for this challenging and rewarding opportunity at Citi.,

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 engineering and code quality standards. In this role, you will lead the end-to-end AI solution development lifecycle, from prototyping and experimentation to deployment on cloud platforms such as AWS, Azure, or GCP. Collaboration with cross-functional global teams, including financial analysts, technology architects, and client stakeholders, will be essential to translate business challenges into AI-driven solutions. Additionally, you will continuously evaluate emerging AI technologies and research to ensure that the organization's AI toolkit remains state-of-the-art. To be successful in this position, you should possess 4 to 7 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies, strong programming skills in Python, and proven experience deploying AI/ML solutions on cloud platforms are required. Exposure to NLP, knowledge graphs, ML ops, or similar related areas would be a significant advantage. Effective communication skills, the ability to collaborate across global teams, and handle client interactions are also important traits for this role. A Bachelors or Masters degree from premier Indian institutes in Computer Science, any Engineering discipline, Mathematics, or related quantitative fields is preferred. Join us in redefining how financial intelligence is powered and delivered through innovative AI solutions that have a real-world impact on business outcomes. Grow your career in an environment that fosters best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms while working in a hybrid setup in Pune or Mumbai.,

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 include developing and deploying advanced AI solutions using the latest Generative AI techniques, such as Retrieval-Augmented Generation (RAG) pipelines, designing and building Agentic AI systems, and fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation. In addition, you will build scalable AI workflows, lead the end-to-end AI solution development lifecycle, and collaborate closely with cross-functional global teams to translate business challenges into AI-driven solutions. You will continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. To be successful in this role, you should have 4 to 7 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies, strong programming skills in Python, and experience deploying AI/ML solutions on cloud platforms are essential. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus, along with decent communication skills and a self-driven, proactive mindset. You should hold a Bachelors or Masters degree from premier Indian institutes in Computer Science, Any Engineering discipline, Mathematics, or related quantitative fields. Benefits of this role include a hybrid work model, continuous learning budget, and opportunities to work on industry-leading AI research. If you are eager to push boundaries of AI in financial analytics and thrive in a global, fast-paced environment, we encourage you to apply now and step into the Future of Financial technology with AI.,

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 with development using LLMs. Good understanding of RAG frameworks, embeddings and Agents. Technical know-how of effective prompt engineering, function calling etc., Familiarity with software development best practices, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD). Familiarity with various Azure services such as Azure Search, App Services, API Management, RBAC, VNet, resources, VM, Cosmos DB, etc. Nice to have Integrate generative models or applications into existing systems and workflows seamlessly. Evaluate and implement leading data anonymization and PII detection techniques. Knowledge of Agentic frameworks.

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 ensure safe, compliant, and robust model behavior will be a crucial part of your role, including prompt validation, output moderation, and access controls. Collaboration with cross-functional teams to deploy solutions in cloud-native environments such as Azure OpenAI, AWS Bedrock, or Google Vertex AI will also be expected. Furthermore, you will contribute to system observability via dashboards and logging, as well as support post-deployment model monitoring and optimization. To excel in this role, you must have proven production experience with RAG frameworks like LangChain, LlamaIndex, or custom-built solutions. A solid understanding of Agentic AI design patterns, strong expertise in LLM fine-tuning, vector embeddings, evaluation strategies, and feedback integration are essential. Experience with implementing AI guardrails, proficiency in Python, LLM APIs (OpenAI, Anthropic, Cohere, etc.), and vector database integration are also required. Familiarity with CI/CD pipelines, API integrations, and cloud-native deployment patterns is a plus. Preferred qualifications include experience working on AI projects in regulated environments (Banking domain), hands-on experience with cloud AI platforms like Azure OpenAI, AWS Bedrock, or Google Vertex AI, knowledge of prompt engineering, RLHF, and LLM observability frameworks, as well as experience building or leveraging internal LLM evaluation harnesses, agent orchestration layers, or compliance dashboards.,

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 development and AI to solve complex business problems intelligently. Responsibilities Translate business needs into advanced machine learning AI services and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence. Build high-quality, scalable, and efficient software solutions that brings GenAI capabilities, leveraging latest advancements such as Agentic LLM and RAG frameworks, etc. Leverage Agentic AI (Autogen, Langchain, etc.) and in-house ML tools & OCI platform to develop reusable, highly performant machine learning systems. Lead architectural discussions and provide technical guidance to ensure the adoption of best practices and alignment with the overall technology roadmap. Work closely with product owners/managers to understand requirements, translate them into technical specifications, and deliver features in a timely manner. Participate in code reviews, providing constructive feedback and ensuring code quality and adherence to coding standards. Work with peers to propose and review design, solutions and implementation with an emphasis on metric driven results. Preferred Skills and Experience Experience with AI/ML frameworks and libraries is a significant asset. Experience working in Generative AI, Customizing LLM's, is an added advantage. Experience in Agentic AI. Autogen, LangGraph, etc. Experience in OJET. Experience with build automation, continuous integration, or continuous deployment tools such as Git, Jenkins, Ansible, etc. Experience in developing and designing solutions with containerization technologies such as Docker and Kubernetes. Experience with cloud observability tools and practices. Minimum Qualifications 8+ years of full-stack software development experience. 1+ year of experience with software design and architecture. Bachelor's or master's in computer science, Engineering, or a related field. Experience in Python and Fast API. REST API - Client and API service development. Experience in cloud technologies - OCI, GCP, AWS etc. OCI is preferred. Good grasp of cloud development concepts like micro-services, BFF, distributed storage. Experience with JavaScript UI development with frameworks like React. Proficient in working with both SQL (e.g.: Oracle, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis) Experience driving architecture / design reviews, documentation. Experience in complete life cycle of software development including development, testing, installation, configuration, and deployment. Possess excellent verbal and written skills. Career Level - IC4

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 Power BI : Basic dashboards and visualizations Others : SharePoint integration, prompt engineering Responsibilities: Develop AI solutions focusing on LLMs, vision, and generative AI Build and optimize RAG apps using vector databases and LlamaIndex Integrate models with Azure services and create event-driven pipelines Collaborate with senior AI teams to troubleshoot, document, and innovate Stay updated with emerging tools and frameworks Must-Have Qualifications: Bachelor’s in CS, Data Science, or related field Minimum 5+ years of AI/ML experience with hands-on expertise in Gen AI and LLMs Strong Azure ecosystem experience Immediate joiners or those with max 15 days notice only Shift : 2 PM – 11 PM IST Work Mode : Hybrid (3 days a week) from any Xebia office Location : Open to candidates across India (Preferred: Chennai, Pune, Gurugram, Bhopal, Jaipur, Hyderabad or Bangalore) How to Apply: Please share your updated CV and the details below to vijay.s@xebia.com Full Name: Total Experience: Current CTC: Expected CTC: Current Location: Preferred Location: Notice Period / Last Working Day (if serving notice): LinkedIn URL: Primary Skill Set: Kindly apply only if you haven’t recently applied or are not in process for any Xebia roles. If this sounds like a match—or if you know someone who’d be a great fit—let’s connect! #HiringNow #AIDeveloper #GenerativeAI #LLM #AzureAI #PythonJobs #ImmediateJoiners #XebiaCareers

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 engineering innovations to simplify the business requirements into scalable solutions. You will be expected to be able to work without immediate supervision and deliver on departmental goals in the required timeframe. The ideal candidate is highly technical, proficient in Java, have a complex understanding of the Fusion and Spectra technology stacks, be proficient in data base design and have experience of building scalable solutions, along with acute product sense and business understanding, in order to map the technology choices to the context of each initiative. Career Level - IC4 Write elegant and performant code in Java. Create detailed technical designs specifications, present it to the team and write code as per the design. Perform thorough code reviews for the Java code written by peers. Design and build scalable solutions for distributed systems using microservices. Develop proof of concepts in Java as well as python for AI and GenAI solutions. Build high-quality, scalable, and efficient software solutions that brings GenAI capabilities, leveraging latest advancements such as Agentic LLM and RAG frameworks, etc. in GenAI space. Leverage third-party and in-house ML tools & OCI platform to develop reusable, highly performant machine learning systems with low-latency serving and reliable means to update/re-train ML models. Work collaboratively with cross-functional partners including product managers, operations team, and data scientists. Communicate continually with the project teams and explain progress on the development effort. Ensures quality of work through development standards and QA procedures. Keen on improvising technical solutions and processes emphasizing discovery through doing, iteration, and feedback loops. Identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions, and quantify impact. Minium Qualifications BS/MS/Phd in Computer Science/Engineering or related fields Fusion and Spectra development experience required Proficient in Java and object-oriented concepts. Proficient in Data modeling and database design. Proficient in Data structures and Algorithms Good working knowledge of Microservices Architecture, Application Architecture, and Technology Architecture. Experience with containers and cloud native components Experience with scripting languages for developing automations Experience in developing resilient and fault tolerant systems. 5+ years software engineering experience in a distributed cloud environment Career Level - IC4