18 Chunking Strategies Jobs

Hi, We are looking for AI Architect (Enterprise & Generative AI) Exp: 10+ yrs Required Skills & Competencies Core Technical Skills Strong architecture background across cloud, microservices, API ecosystems, and data architecture. Advanced understanding of LLMs, embeddings, vector databases, and evaluation frameworks. Experience with LangChain, LlamaIndex, semantic caching, chunking strategies, and retrieval tuning. Deep knowledge of both traditional ML and modern GenAI approaches. Architecture & Governance Skills TOGAF-certified or strong working knowledge of enterprise architecture practices. Experience in creating Architecture Decision Records (ADRs), system context maps, solution blueprin...

Overview Agentic GenAI Technical Product Delivery Manager having expertise to deal usecases solutions and delivery with LLM code, Agentic Code, business analyst, Architect develops and implements GEN AI architecture strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Develop architecture , Ai workflow, LLM modeling for GenAI Solutions and tech stacks. This role will focus on the technical development, deployment, and optimization of GenAI solutions, ensuring alignment with business strategies and technological advancements. Responsibilities Develop cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced...

Role Overview: You will be joining our advanced analytics team as a Data Scientist specializing in Generative AI (GenAI). Your responsibilities will include designing, developing, and deploying GenAI models using cutting-edge frameworks like LLMs and RAG. You will be tasked with building and implementing AI pipelines on cloud services such as AWS, Azure, and GCP. Collaboration with cross-functional teams to integrate AI models into business applications will be a key aspect of your role. Moreover, you will manage tokenization strategies, chunking, vector stores, and prompt engineering to ensure optimal GenAI performance while following best practices in hallucination control and ethical AI. ...

Why Join Iris Are you ready to do the best work of your career at one of India's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture that truly values your talent and ambitions Join Iris Software - one of the fastest-growing IT services companies - where you own and shape your success story . About Us At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportati...

Why Join Iris Are you ready to do the best work of your career at one of India's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture that truly values your talent and ambitions Join Iris Software - one of the fastest-growing IT services companies - where you own and shape your success story . About Us At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportati...

Why Join Iris Are you ready to do the best work of your career at one of India's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture that truly values your talent and ambitions Join Iris Software - one of the fastest-growing IT services companies - where you own and shape your success story . About Us At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportati...

Role Overview: As a Full-Stack AI Engineer at our company, you will have the opportunity to design and build enterprise-level web applications using cutting-edge technologies. You will play a key role in developing secure and scalable backend architectures, integrating AI models into production workflows, and collaborating with cross-functional teams to deliver innovative features end-to-end. This role requires a high level of technical expertise and a passion for building AI-powered business applications. Key Responsibilities: - Design and build enterprise-level web applications using React, Node.js/FastAPI, and PostgreSQL - Develop secure, scalable backend architectures supporting microser...

Job Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-e...

An SF based startup is looking to hire a Senior AI Engineer. The role is fully remote. Here's What The Day-to-day Responsibilities Will Look Like - Design and implement conversational AI agents using LLMs Build RAG pipelines to process e-commerce data Optimize prompt engineering for accuracy and cost efficiency Create data ingestion pipelines for various formats (CSV, Excel, APIs) Implement opportunity detection algorithms Ensure system scalability for processing 10,000+ SKUs Collaborate on architecture decisions Here are some key traits that we are looking for - LLM Engineering Experience Previous experience building AI agents Prompt engineering and optimization RAG (Retrieval Augmented Gen...

An SF based startup is looking to hire a Senior AI Engineer. The role is fully remote. Here's What The Day-to-day Responsibilities Will Look Like - Design and implement conversational AI agents using LLMs Build RAG pipelines to process e-commerce data Optimize prompt engineering for accuracy and cost efficiency Create data ingestion pipelines for various formats (CSV, Excel, APIs) Implement opportunity detection algorithms Ensure system scalability for processing 10,000+ SKUs Collaborate on architecture decisions Here are some key traits that we are looking for - LLM Engineering Experience Previous experience building AI agents Prompt engineering and optimization RAG (Retrieval Augmented Gen...

As a Data Scientist specializing in Gen AI, your role will involve collaborating with business stakeholders and SMEs to gain a deep understanding of the business context and key questions. Your major duties and responsibilities will include: - Creating Proof of Concepts (POCs) and Minimum Viable Products (MVPs) and guiding them through production deployment - Influencing machine learning strategy for Digital programs and projects - Making solution recommendations that balance speed to market and analytical soundness - Developing analytical and modeling solutions using tools like Python, R, and TensorFlow - Formulating model-based solutions by combining machine learning algorithms with other ...

Role Overview: You will work closely with business stakeholders and cross-functional subject matter experts to gain a deep understanding of the business context and key questions. Your main responsibilities will include creating Proof of Concepts (POCs) and Minimum Viable Products (MVPs), guiding them through production deployment, and operationalization of projects. Additionally, you will influence machine learning strategy for Digital programs and projects, make solution recommendations balancing speed to market and analytical soundness, explore design options, and develop analytical solutions using various tools such as Python, R, and TensorFlow. Furthermore, you will formulate model-base...

An SF based startup is looking to hire a Senior AI Engineer. The role is fully remote. Here's What The Day-to-day Responsibilities Will Look Like - Design and implement conversational AI agents using LLMs Build RAG pipelines to process e-commerce data Optimize prompt engineering for accuracy and cost efficiency Create data ingestion pipelines for various formats (CSV, Excel, APIs) Implement opportunity detection algorithms Ensure system scalability for processing 10,000+ SKUs Collaborate on architecture decisions Here are some key traits that we are looking for - LLM Engineering Experience Previous experience building AI agents Prompt engineering and optimization RAG (Retrieval Augmented Gen...

As a Data Science + Generative AI professional joining our AI & Analytics team, you will be responsible for utilizing your expertise in AI architectures, frameworks, and cloud technologies to develop innovative solutions in the generative AI and data science domains. Key Responsibilities: - Design and deploy Gen AI solutions using modern tools and cloud platforms - Implement RAG pipelines and enhance knowledge-based LLMs - Work collaboratively with cross-functional teams on AI project design and implementation - Optimize model performance, token usage, and latency for production systems - Assist in evaluating and incorporating Responsible AI practices Qualification Required: - Hands-on exper...

Overview Agentic GenAI Technical Product Delivery Manager having expertise to deal usecases solutions and delivery with LLM code, Agentic Code, business analyst, Architect develops and implements GEN AI architecture strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Develop architecture , Ai workflow, LLM modeling for GenAI Solutions and tech stacks. This role will focus on the technical development, deployment, and optimization of GenAI solutions, ensuring alignment with business strategies and technological advancements. Responsibilities Develop cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced...

As a Data Scientist specializing in Generative AI (GenAI), you will be responsible for designing, developing, and deploying GenAI models using cutting-edge frameworks such as LLMs and RAG. Your role will involve building and implementing AI pipelines on cloud services like AWS, Azure, and GCP. You will collaborate with cross-functional teams to integrate AI models into business applications. Additionally, you will manage tokenization strategies, chunking, vector stores, and prompt engineering to ensure optimal GenAI performance while adhering to best practices in hallucination control and ethical AI. Key Responsibilities: - Design, develop, and deploy GenAI models using frameworks such as LL...

You are a passionate and experienced professional in Generative AI (GenAI) sought to join the AI & Data Science team. Your expertise lies in working with LLMs, RAG pipelines, LangChain, and cloud AI services. Your primary responsibility will be designing, developing, and deploying GenAI solutions for real-world enterprise use cases. You will architect and implement LLM-based agent frameworks to enable task automation and intelligent decision-making. Additionally, you will develop and optimize RAG systems using effective chunking strategies for context-aware responses. LangChain will be utilized to orchestrate modular GenAI workflows integrated with vector databases such as FAISS, Pinecone, a...

As a Data Scientist specializing in Generative AI (GenAI), you will be joining our advanced analytics team where you will be responsible for designing, developing, and deploying GenAI models using cutting-edge frameworks such as LLMs and RAG. Your role will involve building and implementing AI pipelines on cloud services like AWS, Azure, and GCP, and collaborating with cross-functional teams to integrate AI models into business applications. Additionally, you will be managing tokenization strategies, chunking, vector stores, and prompt engineering to ensure optimal GenAI performance while adhering to best practices in hallucination control and ethical AI. In this role, you will be driving re...