1283 Rag Jobs - Page 7

About the Job LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives, LatentView enables leading global brands to predict new revenue streams, anticipate product trends, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets. Job Description We are hiring AI Engineers to design, develop, and deploy AI-powered solutions for...

We are seeking a talented Machine Learning Engineer with deep expertise in natural language processing (NLP), large language models (LLMs), and speech technologies to join our forward-thinking team.

Role & Responsibilities Conversational AI & Chatbot DevelopmentDesign and implement intelligent chatbot solutions using modern LLMs like GPT-4, Claude, LLaMA, etc Build prompt strategies, chains, and RAG (Retrieval-Augmented Generation) pipelines for enhanced context-aware responses Integrate chatbot systems with APIs, databases, and enterprise applications Optimize model usage to balance cost, latency, and accuracy Develop fallback logic, session tracking, and context management for multi-turn conversations Ensure secure, ethical, and responsible AI usage AI/ML for Predictive AnalyticsAnalyze historical and real-time data to identify trends, anomalies, and patterns Work with structured and ...

Gen AI Python ML Skills - Gen AI , LLMs, LangChain, RAG, Prompt engineering, and Quantization. These frameworks and implementation techniques are an absolute must. Very specifically for ML, looking for someone who can use scikit-learn APIs to implement Standardized Scaling, and use algorithms like K-Means Clustering, Bayers classification and Logistics Regression.

Role Overview We are seeking an experienced Agentic AI Engineer to design, develop, and deploy intelligent AI agents that can reason, plan, and act autonomously across complex workflows. The candidate should have strong experience in Generative AI, LLMs, multi-agent orchestration frameworks, RAG, and Cloud Integration . This role involves building agent-driven solutions for automation, decision-making, and enterprise use case Key Responsibilities Design and implement autonomous AI agents using LLMs (OpenAI, Anthropic, Llama, etc.). Develop multi-agent systems using frameworks such as MCP, LangChain, LlamaIndex, AutoGen or Semantic Kernel . Architect end-to-end agent workflows that include re...

Role: Senior Snowflake Engineer A Senior Snowflake Developer with Cortex experience is responsible for designing, building, and optimizing data solutions on the Snowflake platform, with a specific focus on leveraging Snowflake Cortex for AI-driven features like RAG (Retrieval- Augmented Generation), LLM functions, and vector search. Key responsibilities include developing scalable ETL/ELT pipelines, creating data models, implementing AI assistants, and coaching other team members, all while adhering to best practices in performance, cost control, and security. Skills: • Bachelors degree in Computer Science, Software Engineering, Information Technology, or related field required. • At least 4...

Role & responsibilities AI developer with Web, Mobile, AI, Android, Flutter, PHP, REACT-NODE, python-django, ML/DL Internships are available For Junior developers, we will train you in live AI/IOT/Web/Mobile projects. Full time opportunity after Successful Internships. Additional training will be provided for freshers along with Master degree enrollments. Preferred candidate profile Fast self learner. AI with Full stack exposure to REACT,NODE,JSP, PHP-Laravel, Python-django, Android, etc . Good understanding of complex Data base and SQL with healthcare and business application exposure is required.

Job description About Client Hiring for One of the Most Prestigious Multinational Corporations! Job Title : Data Science Lead Required Qualifications: Must Have: AI, ML, NLP, LLM, RAG 8+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions. Extensive experience with Gen AI/Agentic AI. Strong experience with NLP. Strong experience with LLMs and RAG. Solid understanding of machine learning principles, algorithms, statistics(e.g., regression, classification, clustering, ensemble methods), and statistical modeling. Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageM...

As a Lead Data Scientist (Generative AI) at Blend, you will be spearheading the development of advanced AI-powered classification and matching systems on Databricks. Your role will involve contributing to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization. **Key Responsibilities:** - Design and implement end-to-end AI pipelines for product classification, fuzzy matching, and deduplication using LLMs, RAG, and Databricks-native workflows. - Develop scalable, reproducible AI solutions within Databricks notebooks and job clusters, leveraging Delta Lake, MLflo...

Opportunity to work with our client who is building the AI foundation for value-based healthcare we're hiring an AI/LLM Technical Lead to architect next-gen Agentic AI systems transforming how healthcare is delivered. Responsibilities: ? Lead architecture, design, and implementation of LLM-based and agentic AI systems for clinical and operational use cases. ? Oversee the development of multi-agent orchestration frameworks (reasoning, planning, and task execution) using tools such as LangGraph, CrewAI, or Semantic Kernel . ? Build scalable RAG pipelines and retrieval systems using vector databases (Pinecone, FAISS, Weaviate, Vertex AI Matching Engine). ? Guide engineers on prompt design, mode...

GenAI & Agentic AI Tech Lead (Fully Onsite in Abu Dhabi office, UAE) Location: Abu Dhabi office Client: AbuDhabi Government About The Role Our client, with distributed teams across the UAE, US, Canada, India, and Pakistan, is hiring a few more high-caliber Senior Generative AI Experts with proven hands-on experience in building Agentic AI applications . This role is ideal for someone who has 12 to 15+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks . Key Responsibilities Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or simil...

About IDfy IDfy is Asia's leading TrustStack, trusted by the best, with global expertise and enterprise-grade tech, we're solving trust challenges, making compliance easy, fraud detection smarter, and onboarding seamless. IDfy's three platforms- OnboardIQ, OneRisk, and Privy - come together to form one seamless solution enabling trust. OnboardIQ is an onboarding platform that accelerates growth with frictionless omni-channel onboarding, while mitigating fraud and improving quality of account. OneRisk is a fraud and risk management platform to mitigate financial, legal, and reputational risks and avoid losses with proactive fraud prevention. It covers individual risk, entity risk, and asset r...

About the Role: Are you a PhD or M.Tech student from a top-tier university (IITs, IISc, IISERs, NITs, etc.) aspiring to be a future professor, researcher, or thought leader in Data Science and AI HCLGUVI offers a Mentorship Internship where you will: Mentor learners in AI/ML, Deep Learning, and Generative AI . Gain first-hand experience in online teaching & mentoring through a leading LMS platform. Collaborate with industry practitioners and edtech teams on real-world and state-of-the-art research projects . Work on AI in Education problems , such as building intelligent educational applications, personalized learning systems, and Gen AI-based teaching assistants. This is not just an interns...

As the Applications Development Senior Group Manager at our company, you will be responsible for leading a team to establish and implement new application systems and programs in coordination with the Technology Team. Your main objective will be to drive applications systems analysis and programming activities. You will be the Head of Applied AI Engineering, leading the design, development, and deployment of AI-driven solutions for our Banking division, encompassing Investment (ECM, DCM, M&A), Corporate and Commercial Banking. This role will involve integrating intelligent automation and data-driven decision-making into dealmaking processes. - **Strategic AI Leadership:** - Identify high-imp...

Senior AI/ML Engineer Global Data Analytics, Technology (Maersk) A.P. Moller Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of C...

As the Lead Engineer at Biz2X, you will be leading the development and deployment of sophisticated AI solutions in fintech products. This includes overseeing a team of engineers, managing MLOps pipelines, and optimizing large language models (LLMs) to enhance financial technology services. Your key responsibilities will include: - Designing and implementing advanced ML models for various applications such as fraud detection, credit scoring, and algorithmic trading. - Developing and managing MLOps pipelines using tools like MLflow, Kubeflow, and Airflow for CI/CD, model monitoring, and automation. - Optimizing and operationalizing LLMs (e.g., GPT-4, BERT) for fintech applications like automat...

Consultant - Python Developer with Gen AIResponsibilities: Collaborate with a cross-functional team to design, develop, and implement web applications using Python, Flask/Django, SQL, Azure OpenAI, and RAG implementation - Azure Open AI. Expertise in GenAI concepts. Write clean, maintainable, and well-documented code. Conduct code reviews and provide constructive feedback to other developers. Troubleshoot and fix bugs in existing applications. Optimize application performance and ensure scalability. Collaborate with UX/UI designers to implement visual elements and enhance user experience. Keep up to date with industry trends and best practices in web development. Requirements : Strong experi...

About Position: We are seeking a Generative AI Engineer to design and build intelligent systems using state-of-the-art generative models. You will work on developing applications powered by large language models (LLMs), diffusion models, and other generative techniques to solve real-world problems across domains like content generation, automation, and personalization. Role: GenAI Engineer Job Location: Bengaluru Experience: 4+ Years Job Type: Full Time Employment What You'll Do: Design, develop, and implement AI-based automation tools for SRE Incident Management. Good experience working with OpenAI or other LLM models with understanding of prompting, tool calling, etc. Utilize LLMs to analy...

About the Role GeoTech Infoservices Pvt. Ltd. is seeking a Lead Python Developer to join our growing team of skilled technologists. In this role, you will take ownership of complex and high-impact software solutions, leveraging the power of Python and modern data processing tools. You'll lead a team of developers while also being hands-on with codedesigning, developing, and delivering innovative applications that support our core business objectives.You will also work on data engineering initiatives, including the development of scalable data pipelines and integration with machine learning systems. If you’re passionate about high-quality software, eager to learn and apply the latest tech, an...

Job description Job Role -Gen AI/Agentic AI Engineers Location - Bangalore/Gurugram Level - Senior Associate Experience - 4-8 years Skills & Experience Strong background in Python , ML engineering and API development ( FastAPIs ) Knowledge of tokenization libraries and GenAI/NLP techniques (RAG, embeddings, transformers). Hands-on with GenAI frameworks (LangChain, LlamaIndex, DSPy) and Agentic AI orchestration (LangGraph, MCP, A2A, AutoGen, etc.). Expertise with vector databases, elastic search, unstructured data Experience with cloud AI/ML services (AWS, Azure, GCP). Key Responsibilities Design and implement GenAI applications (chatbots, copilots, knowledge assistants). Build and manage Age...

About The Opportunity : A fast-scaling technology company operating in the Enterprise AI / Generative AI sector, building production-grade LLM-driven products and intelligent automation for global clients. We deliver secure, low-latency generative systems that power conversational AI, summarization, code generation, and retrieval-augmented applications across cloud-native environments. We are hiring a Senior Generative AI Engineer (7+ years) to own architecture, model development, and production deployment of advanced generative systems. This is a fully remote role for candidates based in India. Role & Responsibilities : - Lead end-to-end design and delivery of Generative AI/LLM solutionsdat...

About The Opportunity : A fast-scaling technology company operating in the Enterprise AI / Generative AI sector, building production-grade LLM-driven products and intelligent automation for global clients. We deliver secure, low-latency generative systems that power conversational AI, summarization, code generation, and retrieval-augmented applications across cloud-native environments. We are hiring a Senior Generative AI Engineer (7+ years) to own architecture, model development, and production deployment of advanced generative systems. This is a fully remote role for candidates based in India. Role & Responsibilities : - Lead end-to-end design and delivery of Generative AI/LLM solutionsdat...

Role & Responsibilities : - Lead end-to-end design and delivery of Generative AI/LLM solutionsdata ingestion, pre-processing, model training/fine-tuning, evaluation, and scalable inference. - Develop and productionize transformer-based models (instruction-tuning, LoRA, quantization) using PyTorch/TensorFlow and Hugging Face tooling. - Architect and implement RAG pipelines integrating vector databases (FAISS/Milvus/Chroma), dense / sparse retrieval, and scalable embedding workflows. - Optimize inference throughput and latency using ONNX/TorchScript/TensorRT, autoscaling, and cost-efficient deployment patterns on cloud infra. - Define MLOps best practices : CI/CD for models, containerization, ...

Job Title: Lead AI/ML Engineer Experience: 815 Years Location: Bangalore Work Mode: Hybrid (Work from Office – Mon, Tue, Wed) About the Role We are looking for a highly skilled Lead AI/ML Engineer to lead our Artificial Intelligence initiatives and drive the design, development, and deployment of cutting-edge Generative AI and Machine Learning solutions. The ideal candidate will have strong hands-on experience in RAG (Retrieval-Augmented Generation) systems, LangChain , and modern GenAI frameworks , along with proven leadership in building and mentoring technical teams. Key Responsibilities Lead the design and implementation of AI and ML architectures , including RAG pipelines, vector databa...

Key Responsibilities: Design, develop, and deploy AI agents powered by LLMs (e.g., GPT-4, Claude, Gemini) for internal tools, operational pipelines, and customer interactions. Integrate AI agents with APIs, databases, and automation frameworks to streamline business workflows. Build reusable prompt chains, RAG pipelines, and multi-agent workflows for decision-making and insight generation. Utilize frameworks such as LangChain, LangGraph, AutoGen, or Semantic Kernel for managing complex AI architectures. Fine-tune or instruct LLMs for specific business domains and real estate use cases. Deploy and manage AI models on cloud platforms like AWS, Azure, or Salesforce. Qualifications & Skills: Str...