1300 Rag Jobs - Page 13

Roles & Responsibilities Develop and maintain AI-based solutions using Python. Design, develop, and deploy AI-driven applications with a focus on GenAI Chatbots & AI Agents. Implement GenAI Chatbots, including ingestion and query pipelines, using at least one cloud platform ( Azure, or GCP). Implement Agentic AI framework-based solutions. Develop data ingestion pipelines for efficient data processing and transformation. Ensure high data integrity and performance in AI-driven workflows. Deploy AI models on cloud platforms such as Azure, or GCP. Implement best practices for scalability, security, and cost optimization in cloud-based AI solutions. Conduct regular performance tuning, debugging, ...

Role Overview- We are seeking a highly skilled GenAI Development Lead to drive the design, development, and deployment of cutting-edge Generative AI solutions across enterprise use cases. This role requires a visionary leader with deep technical expertise in AI/ML, hands-on experience with LLMs (Large Language Models), and a strong background in building scalable AI products. The ideal candidate will be responsible for leading a development team, architecting GenAI applications, ensuring best practices in model lifecycle management, and collaborating with cross-functional stakeholders to bring next-generation AI capabilities to market. Key Responsibilities Solution Architecture & Development...

You will be a part of a growing data science team at Amdocs Services CTO, working on advanced AI/GenAI technologies to protect users globally. Your role will involve researching and developing innovative AI-powered capabilities, rapid prototyping and iterating based on data insights, designing and building data-driven solutions, and collaborating closely with Product, analysts, and engineers to deliver production-grade machine learning models. You will work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges. - At least 4+ years of relevant experience and track record in Data Science: Machine Le...

As a GenAI Architect & People Manager at Amdocs, you will play a crucial role in leading our GenAI initiatives by leveraging your technical depth and leadership capabilities. Your responsibilities will include: - Leading the design and implementation of GenAI and ML-based solutions across various business use cases. - Translating business requirements into technical architectures using Azure/AWS Cloud Platforms. - Managing and mentoring a multidisciplinary team of engineers, data scientists, and ML specialists. - Driving adoption of Databricks, PySpark, and Java-based frameworks within solution development. - Collaborating closely with product owners, data engineering teams, and business sta...

Job Application Link:https://app.fabrichq.ai/jobs/865d4815-c031-4216-8e54-462d9b57ea23 Job Summary: The Data Science Architect role focuses on designing and implementing complex Generative AI solutions using AWS technologies. The position requires expertise in Retrieval Augmented Generation (RAG), GraphRAG methodologies, and agentic AI systems. The architect will develop advanced AI architectures incorporating state-of-the-art GenAI technologies while leveraging AWS Bedrock and SageMaker. 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 Retr...

As a Python + AI/ML Developer at our company in Bangalore, you will play a crucial role in leveraging your expertise in Python programming and AI/ML technologies. Your responsibilities will include: - Demonstrating a strong background in Python programming - Utilizing hands-on experience in AI/ML technologies, particularly in NLP, LLMs, RAG, and Semantic Search To excel in this role, you should possess the following qualifications: - Proficiency in Python programming - Experience working with AI/ML technologies, specifically in NLP, LLMs, RAG, and Semantic Search Join our team and contribute your skills to drive innovation and success in the field of AI/ML.,

**Job Description** **Role Overview:** As a Lead AI Engineer in the Innovation team of the TDI Chief Strategy Office at Deutsche Bank, your role involves leading technical teams to identify, evaluate, and execute data- and AI-driven innovation projects. You will design and build high-quality software products that utilize AI and other advanced data-driven technologies to create sustainable value for the Bank. Your responsibilities include practicing hands-on and servant technical leadership, being responsible for the technical delivery of innovation projects, and working in a cross-functional team to identify, evaluate, and execute data- and AI-driven innovation projects. Additionally, you w...

Role Overview: You are a highly skilled AI/ML Engineer with expertise in Python and hands-on experience in developing LLM-based applications. You will be responsible for designing, developing, and deploying LLM-powered applications using frameworks like LangChain and LlamaIndex. Your passion for building cutting-edge AI systems that combine machine learning with advanced language models will drive you to implement and optimize RAG pipelines and integrate large language models such as GPT, LLaMA, Mistral, etc. Additionally, you will work on building and maintaining vector databases for semantic search and context augmentation, collaborating with cross-functional teams to deploy AI features in...

As an AI/ML Intern at Techlusion, you will be part of a tech-forward IT consulting firm that delves into cutting-edge innovation. Your role will involve working on AI agentic workflows utilizing tools such as LangChain, Cursor, and lovable.ai. You will also contribute to Generative AI prototypes and micro-solutions for real-world use cases. Additionally, your responsibilities will include researching and experimenting with LLMs, vector DBs, RAG, and prompt engineering. Collaborating with engineering teams on the integration of AI into live apps and participating in hackathons, internal sprints, and fast prototyping challenges will be essential parts of your role. Continuous exploration of th...

As an experienced AI Architect with more than 10 years of expertise in Artificial Intelligence, Machine Learning, and Data Science, you will play a pivotal role in defining and leading our AI strategy. Your primary responsibility will be to design and optimize AI/ML solutions from data ingestion to production. Additionally, you will build advanced ML, deep learning, and generative AI models, work with large datasets, pipelines, and automation, and deploy and maintain AI systems in production while ensuring scalability, reliability, and monitoring. Implementing MLOps practices such as CI/CD for ML, containerization, and orchestration will also be part of your key responsibilities. Apply your ...

Role Overview: As an AI Enabled Automation Developer Senior at EY, you will have the opportunity to build a unique career tailored to your skills and interests. You will be part of a global team that provides support, fosters an inclusive culture, and leverages cutting-edge technology to help you reach your full potential. Your individual voice and perspective are valued contributions that will help EY enhance its services and make a positive impact on the working world. Key Responsibilities: - Develop and implement AI-enabled automation solutions that align with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) in various industry verticals to showc...

As an AI Engineer at our company, you will play a crucial role in designing, developing, and deploying AI models and algorithms to address complex challenges and enhance business outcomes. Your expertise in machine learning, deep learning, and data science, coupled with your proficiency in programming, will be instrumental in driving innovation and success. **Key Responsibilities:** - Design, develop, and implement AI models and algorithms to tackle real-world problems. - Collaborate with diverse teams to understand business requirements and translate them into technical solutions. - Conduct data analysis and preprocessing to ensure high-quality inputs for AI models. - Train, test, and valid...

Key Responsibilities Design, build, and productionize scalable ML/GenAI models and pipelines with a focus on reliability and precision Develop retrieval-augmented generation (RAG) pipelines and agentic systems using advanced LLMs Fine-tune, optimize, and deploy transformer-based models (GPT, Llama, Mistral, etc.) for enterprise use cases Architect and implement multi-agent frameworks (tool-augmented reasoning, orchestration, memory management) Deliver robust APIs and services for ML/GenAI models with performance and cost optimization in mind Collaborate with software engineers and DevOps teams to scale AI systems across environments (cloud, hybrid, on-prem) Drive automation in model deployme...

As a Senior Principal Software Engineer at Red Hat IT Innovation Team in Pune, India, you will be part of a dynamic team working on cutting-edge applications that leverage Generative AI. Your role will involve architecting, designing, and developing applications in Java, Python, and frameworks like Spring Boot, Quarkus, LangChain, and other frameworks. Collaborating with various teams and stakeholders, you will analyze business requirements, implement data models, and ensure application quality and maintainability. Key Responsibilities: - Architect, design, document, and develop applications in Java, Python, and frameworks like Spring Boot, Quarkus, LangChain, and others - Lead implementatio...

As an experienced Salesforce AI Architect Manager with over 10 years of expertise, your role will involve architecting and leading AI-driven initiatives within the Salesforce platform. You will play a critical role in engaging with clients, providing technical leadership, and delivering scalable AI solutions. Here are the key responsibilities associated with this role: - Pre-Sales and RFPs: - Engage with clients to identify their AI and Salesforce needs and align business objectives with Salesforce Einstein AI capabilities. - Lead technical discussions during pre-sales engagements, showcasing Salesforce Einstein AI expertise, its benefits, and strategic value. - Develop and deliver presentat...

You will be an AI Engineering Intern (SDE) at Darwix AI, where you will have the opportunity to work on cutting-edge technology to build real-time, multilingual conversational intelligence for omnichannel enterprise sales teams using Generative AI. The company is on a mission to solve a unique problem by providing industry-first features like live agent coaching, speech-to-text in 11 Indic languages, and autonomous sales enablement nudges. **Key Responsibilities:** - Work on core components of the real-time agent assist engine using Python, FastAPI, Kafka, and Redis. - Train, evaluate, and integrate whisper, wav2vec, or custom STT models on diverse datasets. - Develop internal tools for anal...

As an experienced IT software tester with 6+ years of experience, you will be responsible for the following: - Automating Business acceptance criteria through Behavior Driven Development (BDD) using Selenium with Java/python - Conducting Web Services and REST API testing - Demonstrating proficiency in SQL, RDBMS databases, and Database testing - Utilizing Java programming language or any other programming language (Core Java, Python, C#) - Implementing DevOps and CICD pipeline using Gitlab - Applying Generative AI Concepts such as Advanced Prompt Engg, RAG, leveraging LLMs, etc. - Demonstrating excellent communication and analytical skills Qualifications required for this role: - 6+ years of...

As a Generative AI Lead at our GenAI CoE team, you will play a crucial role in developing intelligent applications using Large Language Models (LLMs) and designing autonomous agent-based systems. You will be at the forefront of Generative AI, working with frameworks like CrewAI, LangChain, and LangGraph to create scalable solutions that automate tasks across the Software Development Life Cycle (SDLC), data engineering, and enterprise operations. **Key Responsibilities:** - Build, fine-tune, and deploy LLM-powered applications such as chatbots, agents, and RAG pipelines. - Design and implement autonomous agents utilizing frameworks like CrewAI, LangChain, or LangGraph. - Integrate AI into exi...

Job Role: Lead - AIML DS/ GEN AI Developer Years of Experience: 6-10 years Preferred Location: Chennai / Bangalore Shift Timing (IST): General shifts Description Primary Responsibilities: o Utilize solid development skills in programming languages such as Java, .Net, Python, or Node.js. o Oversee the design, development, and deployment of AI/ML models and solutions o Optimize and fine-tune AI/ML models for performance and scalability o Ensure best practices in coding, testing, and deployment o Own technology decisions and solutions for business problems o Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solu...

We're seeking a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud to join our team. The ideal candidate will have a passion for leveraging the power of LLMs to create innovative and efficient applications. Job Description: Responsibilities : Develop and maintain LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Integrate LLM apps with foundational models using multiple techniques and methods Design and develop Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models Leverage external data and content sources to ground LLM outputs Design and impleme...

Full Stack ML Engineer Agentic AI At Innodata, we build enterprise-grade agentic AI solutions that go beyond chatbots—multi-agent systems with context, compliance, and orchestration. We are looking for Full Stack ML Engineers who can take ownership of end-to-end agent engineering, from data pipelines and model fine-tuning to multi-agent orchestration and production deployment. This role is critical to delivering secure, scalable, and reliable AI agents for use cases such as HR onboarding, smart search, copilots, and enterprise workflow automation. Responsibilities Design and implement multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen or similar frameworks. Build A2A (agent-to-a...

Role & responsibilities Will work on end to end development of highly sophisticated Gen AI applications for firmwide integretion Work as an independent contributor to develop GenAI Infrastructure, tools and application Work with the stakeholders and mentor team members Preferred candidate profile BTech / MTech from premier institutes with 9-17 years of strong backend experience in Python / Java/ Golang / MS Technologies Have atleast 2-3 years of experience in Gen AI and LLMs Technically strong Individual Contributors with experience on Retrieval-Augmented Generation (RAG) Strong experience on Python frameworks added advantage Strong communication, interpersonal, stakeholder management and me...

Primary Skills (Must have hands on Exp): Gen AI, RAG, LLM, Agentic AI, Data Science, Python, AI/ML, API Integration GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. API Integration: Experience in integrating OpenAI models into software ...

Key Responsibilities Architect and implement enterprise-scale AI/ML solutions including Generative AI, Agentic systems, and LLM applications ( including fine-tuning) Design and deploy intelligent AI agents using frameworks like Langchain & Lang Graph to enhance user experience and operational efficiency Build and optimize NLP/document processing pipelines using GCP/Azure tech stack Lead the development of Retrieval-Augmented Generation (RAG) systems and multi-agent architectures. Establish and maintain robust LlmOps/MLops practices for model lifecycle management. Develop and deploy models using PyTorch, MLFlow, and Fast API. Ability to Implement scalable ML infrastructure, Kubernetes, and CI...

You will be playing a key role in designing and implementing enterprise-grade GenAI architectures across various aspects such as discovery, search, booking, and service automation. Your responsibilities will include building cloud-native AI applications on AWS, Azure, or GCP, utilizing platform-native services like Bedrock, Azure OpenAI, and Vertex AI. You will also be developing and orchestrating AI workflows using LLMs, RAG, embeddings, and agent frameworks such as LangChain and LlamaIndex. Additionally, you will architect autonomous AI agents for tasks like itinerary planning, fare optimization, customer service, and supplier interactions, ensuring a robust enterprise architecture that co...