1311 Rag Jobs - Page 22

Job Description : AI Engineer role is to design and implement intelligent systems using agentic AI capable of autonomous decision-making and task execution by integrating advanced machine learning models with reasoning, planning, and interaction capabilities. Skills: Python, LLM, Prompt engineering, Vector databases, RAG architecture, Agentic libraries(Lang chain/Lang graph/Autogen), Computer Vision, Document Processing

AI/ML & GenAI Engineer Job Description Location: On-site ( IT Park Chandigarh) Experience: 5+ years Role Type: Full-Time Job Summary We are looking for an experienced and innovative AI/ML Engineer to join our team. The ideal candidate will have over 5 years of hands-on experience in machine learning, computer vision, natural language processing, and AI system design. This role requires expertise in building and deploying ML models, with additional experience in generative AI techniques including the use of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG). You will play a key role in developing AI-powered applications and solutions that combine tradit...

One of the Healthcare AI Product Start ups based out of Hyderabad is looking out for a AI Architect. If you are looking for a challenging environment and would like to be a part of building AI products in a start up environment, let us connect and discuss. Title: AI Engineer Experience: 3 to 5 yrs Qualification: B.Tech / M.Tech Job Location: Hyderabad Job Type & Model: Permanent & Hybrid Position Overview: We are looking for a skilled AI Engineer to develop, implement, and optimize AI solutions using cutting-edge generative AI technologies. This role focuses on hands-on development of AI applications, model integration, and production deployment while working closely with our AI architecture...

Inviting applications for the role of Lead Consultant - MLOps Engineer! In this role, you will define, implement and oversee the MLOps strategy for scalable, compliant, and cost-efficient deployment of AI/ GenAI models across the enterprise. This role combines deep DevOps knowledge, infrastructure architecture, and AI platform design to guide how teams build and ship ML models securely and reliably. You will establish governance, reuse, and automation frameworks for AI infrastructure, including Terraform-first cloud automation, multi-environment CI/CD, and observability pipelines. Responsibilities Architect secure, reusable, modular IaC frameworks across cloud and regions for MLOps Lead the ...

Position: Senior AI/ML & Gen AI Engineer Experience: 5+ Years Location: Hyderabad Work Mode: 5 Days Work from Office Role Overview: We are hiring a Senior AI/ML & Gen AI Engineer with expertise in AWS Bedrock, AWS Nova, LLMs, RAG, and Agentic AI architectures . This role will focus on AI model development, MLOps, Gen AI solutions, and AI-first innovation initiatives . The ideal candidate will work on PoCs, accelerators, and AI-driven solutions while mentoring freshers and growing our AI practice. Key Responsibilities: Develop and deploy AI/ML models, LLM-based applications, and RAG architectures . Design AI-powered accelerators, PoCs, and reusable ML pipelines . Build multi-cloud AI/ML solut...

As an AI Technical Lead at Academian in the EdTech domain, you will play a crucial role in developing and deploying cutting-edge AI solutions that enhance education through technology. Academian is a leading EdTech company that focuses on delivering impactful learning experiences and shaping the future of education with AI-driven solutions. Your primary responsibility will be to design, train, and deploy AI models for diverse use cases such as computer vision, natural language processing (NLP), and generative AI. You will optimize these models for performance, scalability, and accuracy using core algorithms and frameworks like TensorFlow, PyTorch, and Scikit-learn. Additionally, you will wor...

Excited to grow your career At Citi, we are not just building technology, we are shaping the future of banking. Our diverse teams, encompassing a wide range of specialties, roles, and cultures, are dedicated to creating innovative solutions utilized globally. As one of the world's leading banks, Citi is at the forefront of transforming the way business is conducted worldwide. If you believe this position aligns with your career aspirations, we welcome you to apply! Finance, Markets and Credit Risk Technology at Citi plays a crucial role in enabling the bank to achieve its day-to-day operations and long-term growth objectives. Through the provision of services, technical solutions, and infras...

This is a full-time onsite role based in Indore at WeStack AI, a leading company in Generative AI, RAG, and LLMs. We specialize in providing end-to-end product development services and excel in Generative AI, RAG & LLMs, Web Development, Mobile Application Development, Product Design, and DevOps & Cloud Services. As a Back-End Developer at WeStack AI, you will be responsible for tasks related to Back-End Web Development, Software Development, Object-Oriented Programming (OOP), and general programming. The ideal candidate for this role should have 2-4 years of experience and possess strong programming skills in Python/Golang, and Node.js. Additionally, proficiency in building and managing API...

As an experienced AI/ML Engineer, you will be an integral part of our team working on Mizzle Mate, an AI-driven DevOps automation platform. Your primary responsibility will be to design, develop, and deploy AI/ML models for predictive analytics, anomaly detection, and intelligent automation within Mizzle Mate. You will also work on developing NLP-based chatbots, AI-driven observability, and automated monitoring solutions to enhance the platform's capabilities. Utilizing your expertise in artificial intelligence, machine learning, and data science, you will collaborate with DevOps, cloud engineers, and software developers to integrate AI solutions seamlessly into Mizzle's cloud ecosystem. Fur...

Job title - Senior AI/ML engineer Experience: 10+ Years Location: Remote (initially) Only candidates from Tamil Nadu will be considered Notice Period: Immediate to 30 Days About the Role We are seeking a highly experienced and visionary AI/ML Architect to lead the design and delivery of enterprise-grade AI solutions. This role demands deep expertise in software architecture, data platforms, and modern AI technologies, with a strong focus on GenAI, LLMs, and scalable data systems. You will work cross-functionally to drive innovation, performance, and measurable business impact. Core Competencies Required 1014 years in software architecture, with 56 years in AI/ML or data platform roles. 56 ye...

Permanent job opening for Gen AI Engineer with US MNC organization at Hyderabad Required skills 5+ years of professional experience in building Machine Learning models & systems 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents. Experience in driving the engineering team toward a technical roadmap. Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must. Understanding of Cloud services, including Azure, GCP, or AWS Excellent communication skills to effectively collaborate with business SMEs Roles & Responsibilities Develop and optimize LLM-based solutions: Lead the design, train...

We’re hiring a Senior Data Scientist (6–12 yrs) in Mangaluru. Strong in Python, AI/ML, GenAI, LLMs, RAG, Agentic AI, Cloud (Azure/AWS), ML frameworks & Vector DBs. Work on cutting-edge AI solutions with global exposure & growth opportunities.

Job Title: Python Developer AI & RAG Systems Key Responsibilities 1. Backend Development Build and deploy Python-based APIs and microservices using FastAPI and Flask . Integrate LLMs (OpenAI, Anthropic) with RAG pipelines for intelligent Q&A and chatbot systems. Develop serverless functions (e.g., Azure Functions ) for scalable AI workflows 1 . 2. AI & RAG Integration Implement Retrieval-Augmented Generation (RAG) using LangChain , LangGraph , and LangSmith . Connect to Vector Databases like Pinecone , FAISS , or Chroma for semantic search. Fine-tune and manage LLMs for domain-specific tasks. 3. DevOps & Deployment Set up CI/CD pipelines using Jenkins or GitHub Actions. Containerize applicat...

Job description Role & responsibilities Proven experience as an AI Architect, with a track record of successful AI solution design and implementation. Streamlit -- Python Generative AI HuggingFace , OpenAi and any Custom Model development experience Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.). In-depth knowledge of machine learning techniques, algorithms, and model evaluation. Familiarity with big data technologies, cloud platforms, and distributed computing. Excellent problem-solving abilities and analytical thinking. Effective communication skills to collaborate with cross-func...

Data pipelines and infrastructure for AI and analytics using cloud-native tools. Design and implement production-ready GenAI applications using services like Amazon Bedrock, Azure Mandatory Skills: Cloud Computing, Artificial Intelligence , Python

Role & responsibilities Lead and contribute to end-to-end Generative AI projects, from problem formulation to scalable solution deployment. Prior experience in areas of predictive modelling, classification, and generative capabilities Hands-on experience in machine learning, NLP, and transformer-based models, with a strong focus on Generative AI. Prior experience of having used NLP for text generation, summarization, sentiment analysis, named entity recognition, language translation, etc Prior experience in prompt engineering, design and implementation of RAG pipelines, including integrating LLMs with vector databases (e.g. Pinecone, Weaviate, FAISS or ChromaDB). Prior experience in Azure Op...

812 years of experience inAI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Design, develop and maintain Model Context Protocol (MCP) interfaces to support interoperability between simulation orAIcomponents. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. Strong understanding of RAG concepts. Strong understanding of GIT MCP server implementation experience Experience building and depl...

As a GenAI Developer specializing in AI & NLP, you will be responsible for designing and deploying AI models focusing on LLMs, RAG, and NLP to support Rabbits" marketing automation suite. Your role will involve collaborating with the engineering team to integrate cutting-edge AI features into products using tools like Python, React, Azure, and Postgres. Additionally, you will be tasked with building and refining data pipelines to enhance data quality, conducting performance monitoring, and ensuring optimal AI model functionality through A/B testing. Your responsibilities will also include exploring the latest AI advancements to solve industry-specific challenges within the marketing automati...

As an AI Developer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will have the opportunity to work remotely or in a hybrid setting. In this role, whether on a full-time or contract basis, your responsibilities will revolve around developing AI-driven conversational agents using LangChain and LangGraph. You will collaborate with various LLMs such as OpenAI, Claude, and Llama, fine-tuning and customizing models to meet project requirements. Additionally, you will be tasked with implementing vector search functionalities using databases like Milvus, MongoDB, or other relevant platforms. Integration of AI models into the backend of the platforms and opti...

Responsibilities Develop scalable full-stack apps using React/Node.js, build APIs, collaborate with UX teams via Figma, use AG Grid, ensure clean code, and support CI/CD via Azure DevOps in an agile setup. Required Candidate profile Proven React/Node.js full-stack experience, strong AG Grid API skills, Figma collaboration, Azure DevOps pipeline use, knowledge of Azure, .NET Core, ADF is a plus; private deal lifecycle a bonus.

Job Description: You should have at least 8 to 12 years of experience in Full Stack Development or similar roles. Your proficiency should include multiple programming languages like Python and Node.js. Additionally, you must be knowledgeable in various frontend languages and libraries, such as HTML, CSS, JavaScript, React, Node.js, XML, and jQuery. Experience with LLM and RAG patterns is a must, including an understanding of concepts like LLM Evaluation, LLM Caching, and LLM Streaming. You should possess a strong understanding of NoSQL databases and be familiar with RESTful API design and development. It is essential that you have hands-on experience developing and deploying applications on ...

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Applied AI ML Associate Sr at JPMorganChase within the Consumer and Community Bnaking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture. Act as a thought leader and ...

Role & Responsibilities : - Design, fine-tune and productionize large language models (instruction tuning, LoRA/PEFT) using PyTorch and Hugging Face tooling for real-world applications. - Architect and implement RAG pipelines : embeddings generation, chunking strategies, vector search integration (FAISS/Pinecone/Milvus) and relevance tuning for high-quality retrieval. - Build scalable inference services and APIs (FastAPI/Falcon), containerize (Docker) and deploy to cloud/Kubernetes with low-latency and cost-optimized inference (quantization, ONNX/Triton). - Collaborate with data engineers and ML scientists to productionize data pipelines, automate retraining, monitoring, evaluation and drift...

4+ years of experience in AI/ML. Strong in Python, NumPy, SciPy, Scikit-learn, Matplotlib, and CUDA for GPU computing. Time Series Analysis, Standard ML Algorithms or Deep Learning Architectures. Required Candidate profile Practical experience with GenAI models and prompt engineering. Familiarity with containerization and deployment -Docker, FastAPI, Flask Solid grasp of statistics, model validation & evaluation metrics

What we're looking for: At least 5 years of experience in designing & building AI applications for customer and deploying them into production. Software engineering experience in building Secure, scalable and performant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI. Design, develop, and operationalize existing ML models by fine tuning, personalizing it. Evaluate machine learning models and perform necessary tuning. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning,...