5 Rag Implementation Jobs

About the Role We are seeking a skilled Full-Stack AI Engineer to design, build, and deploy advanced AI/ML solutions. You will work on Retrieval-Augmented Generation (RAG), semantic search optimization, and production-scale ML systems. Core Skills RAG implementation Vector database expertise Semantic search optimization Building production ML systems Technical Requirements Experience with LangChain/LlamaIndex Hands-on with Pinecone/Weaviate/Qdrant Knowledge of OpenAI, Sentence Transformers Strong coding in Python, NumPy Familiarity with FAISS and prompt engineering Document chunking and Redis/caching Show more Show less

As a Senior AI/ML Engineer with 8 years of experience based in Bangalore, you will be responsible for leveraging your expertise in Prompt Engineering, Large Language Models (LLMs), and Agentic AI frameworks. Your primary focus will be on designing, implementing, and optimizing AI-driven solutions that capitalize on the latest advancements in generative AI. Your key responsibilities will include developing prompt engineering strategies to enhance AI model performance, fine-tuning LLM hyperparameters like temperature and top_p, building and deploying solutions using Agentic AI frameworks such as LangChain, LangGraph, and Crew AI. You will also be involved in implementing Retrieval-Augmented Generation (RAG) pipelines for knowledge-driven AI systems, evaluating LLMs, and ensuring model quality and accuracy through observability. Writing clean and efficient Python code, deploying AI/ML applications on cloud platforms like AWS, Azure, or GCP, and collaborating with cross-functional teams to integrate AI capabilities into products and services are essential aspects of this role. To excel in this position, you must possess expertise in Prompt Engineering strategies, a deep understanding of LLM architecture and hyperparameters, hands-on experience with Agentic AI frameworks, RAG implementation, LLM evaluation, Python programming skills, and cloud deployment experience on major platforms like AWS, Azure, or GCP. If you are passionate about AI and machine learning, have a strong background in Python programming, and are eager to work on cutting-edge AI technologies to drive innovation, this role offers you an exciting opportunity to contribute to the development and deployment of advanced AI solutions.,

As a skilled Python Backend Engineer at Cognio Labs, you will be responsible for leveraging your expertise in FastAPI and your strong foundation in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies. Your role will involve a blend of backend development and data science to facilitate data processing for model fine-tuning and training. You should have a minimum of 2 years of experience in Python backend development and possess the ability to develop and maintain APIs using the FastAPI framework. Proficiency in asynchronous programming, background task implementation, and database management using both SQL and NoSQL databases, especially MongoDB, are essential. Additionally, familiarity with Git version control systems and RESTful API design and implementation is required. Experience with containerization technologies like Docker, understanding of component-based architecture principles, and the capability to write clean, maintainable, and testable code are valuable additional technical skills. Knowledge of testing frameworks, quality assurance practices, and AI technologies such as LangChain, ChatGPT endpoints, and other LLM frameworks will be advantageous. In the realm of AI and Data Science, your experience with LLMs and RAG implementation will be highly valued. You should be adept at data processing for fine-tuning language models, manipulating and analyzing data using Python libraries such as Pandas and NumPy, and implementing machine learning workflows efficiently. Your key responsibilities will include designing, developing, and maintaining robust, scalable APIs using the FastAPI framework, preparing data for model fine-tuning and training, implementing background tasks and asynchronous processing for system optimization, integrating LLM and RAG-based solutions into the product ecosystem, and following industry best practices to write efficient, maintainable code. Collaboration with team members, database design and implementation, troubleshooting and debugging codebase issues, as well as staying updated on emerging technologies in Python development, LLMs, and data science will be integral parts of your role at Cognio Labs.,

As a Web Developer, you will 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. You will demonstrate expertise in GenAI concepts and ensure writing clean, maintainable, and well-documented code. By conducting code reviews, you will provide constructive feedback to other developers and troubleshoot/fix bugs in existing applications. Optimizing application performance, ensuring scalability, and collaborating with UX/UI designers to implement visual elements will be crucial to enhancing user experience. Keeping up to date with industry trends and best practices in web development is essential. Your profile should include strong experience in web development using Python, Flask/Django, SQL, along with Azure OpenAI experience in creating agentic workflow/RAG implementation/AI Search. It would be advantageous to have knowledge of frontend technologies such as HTML, CSS, JavaScript, and frameworks like React. Expertise in backend development with Python and Flask/Django frameworks, solid understanding of relational databases, and proficiency in SQL are required. Familiarity with cloud technologies and services, specifically Azure, and experience with containerization technologies like Docker are beneficial. Experience with Azure OpenAI and RAG implementation - Azure Open AI is mandatory. Furthermore, a good understanding of software development fundamentals, industry best practices, strong problem-solving and analytical skills, excellent communication and collaboration skills, familiarity with version control systems like Git, and an understanding of agile software development methodologies are essential for success in this role.,

Role & responsibilities We are looking for Data Scientist position with US MNC company for permanent role, Remote. Preferred candidate profile Mandatory Skills : 5 Years + relevant experience in data science. Experience in RAG implementation pipeline. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience in the Financial Services Industry and an understanding of compliance standards. (Preferred) Experience with Master data management, Data Wrangling and ETL Processes. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Certification in Data Science or AI/ML.