447 Llamaindex Jobs - Page 8

Overview The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML and GenAI solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks along with LLM frameworks like LangChain / LlamaIndex, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines. Responsibilities Understand the existing Proof of concepts that were built to showcase capability of LLMs to deliver the accurate response to any natural...

As a Senior Data Scientist at our client's organization, you will play a crucial role in architecting agentic AI solutions and overseeing the entire ML lifecycle, from proof-of-concept to production. Your responsibilities will include operationalizing large language models and agentic workflows, designing multi-agent AI systems for cybersecurity tasks, building GenAI solutions, implementing CI/CD pipelines, managing model versioning, automating cloud infrastructure provisioning, monitoring models and infrastructure, and collaborating with cross-functional teams to integrate agentic AI into existing security workflows. Key Responsibilities: - Operationalise large language models and agentic w...

As an experienced fullstack developer with 8-10 years of experience in building and scaling data-driven products, you will be responsible for architecting, building, and shipping GenAI native platforms with LLMs, agents, and predictive AI. Your strong backend skills in Node.js and Python, coupled with frontend expertise in React, will be essential for the successful execution of your responsibilities. Additionally, your familiarity with GCP tools such as Airflow, BigQuery, and Cloud SQL, as well as your skills in data pipelines, real-time processing, and analytics, will be highly valuable in this role. Key Responsibilities: - Write code, design systems, debug, and ensure product excellence -...

About Nuvae Nuvae is building the future of healthcare revenue management. We deliver an advanced GenAI-powered Revenue Management Agent and Conversational AI Platform designed for hospitals and healthcare practices. Our platform leverages information retrieval, Retrieval-Augmented Generation (RAG), process automation, and actionable insights to improve operational efficiency and maximize revenue outcomes. We are seeking a Staff Software Developer with deep expertise in Machine Learning, Generative AI, Agentic AI, and LLM-driven systems who can architect and scale next-generation healthcare AI platforms. What You'll Do Architect and design large-scale AI systems that power Nuvae's revenue ma...

We are seeking an experienced Data Science Engineer with 1+ years of experience implementing AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions. You Will Work On We are looking for a self-driven Data Science Professional to be a member of our Data & AI Practice. We help many of our clients in building advanced analytics solutions (from traditional ML to deep learning, Computer Vision, Gen AI & Automation). You will work on some of the cutting-edge AI technologies to build meaningful products & solutions. Job Location: Pune What You Will Do (Responsibilities) Perform high-level work both independently and collaboratively as a project member. ...

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Role Overview We're building a next-gen LLMOps team at Fractal to industrialize GenAI implementation and shape the future of GenAI engineering. This is a hands-on technical leadership role for AI engineers with strong ML and DevOps skills ideal for those who love building scalable systems from the ground up. You will be designing, deploying, and scaling GenAI and Agentic AI applications with robust lifecycle automation and observability. Required Qualifications 10 - 14 years of experience in working on ML projects that includes product build...

At GKM IT, data isn't just numbersit's insight, innovation, and the foundation of intelligent systems. We're looking for a Data Scientist - Senior II who's ready to go beyond dashboards and dive deep into cutting-edge ML and Generative AI research. In this role, you'll work on high-impact problems using advanced machine learning techniques. You'll also play a key role in shaping the next generation of data scientists by mentoring junior team members and interns. If you're excited by LLMs, transformer models, and pushing the boundaries of what's possible with datathis is the place to be. Requirements 5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work o...

Design, develop, and deploy LLM-powered applications using frameworks like LangChain and LlamaIndex. Implement RAG pipelines Fine-tune large language models such as GPT, LLaMA, Mistral, etc. Work with unstructured data Required Candidate profile 5+ years of Python for AI/ML applications. Solid understanding of LLM Proficient with LangChain and LlamaIndex for building workflows. Experience building RAG systems and using vector stores

Modeling & Analysis: Building, training, and validating models Cleaning and preparing data Combining and shaping data Applying descriptive and inferential statistics Azure Services & Tools : Use of Azure Notebooks, Azure Machine Learning, Azure Databricks, and Azure Synapse Analytics Integration with Kusto Query Language and Azure Data Explorer Machine Learning & Feature Engineering : Preparing data for ML in Azure Building features from nominal, text, and numeric data in Azure Developing and deploying ML models using Azure services Integration with Open-Source Tools : Azure supports Python, R, TensorFlow, PyTorch, scikit-learn, pandas, and NumPy

Job Title: Generative AI Engineer Location: Hyderabad (onsite) Key Responsibilities: High-Throughput RAG Pipeline Development: Design and build scalable document processing pipelines to ingest and semantically chunk large batches of documents (PDF/DOCX) from sources like Azure Blob and AWS S3. Integrate embedding models and tune vector databases like Milvus for high-performance, sub-100 ms k-NN retrieval. Implement hybrid retrieval systems using BM25 and vector search, and continually track and improve retrieval performance using metrics like MRR and recall@k. Model Fine-Tuning & Prompt Engineering: Apply large language models (LLMs) and NLP techniques to solve complex problems such as named...

We are a fast-growing technology company leveraging large language models and AI to power next-generation applications. Our teams deliver high-impact solutions across diverse domains while maintaining a culture of curiosity, collaboration, and continuous learning. We're seeking a skilled Prompt / AI Engineer to design, implement, and optimize natural-language prompts, chains, and retrieval-augmented workflows. You'll partner with engineering, product, and data science teams to ensure seamless integration of LLM capabilities into our services. What You'll Do At CYBLE Prompt Design & Optimization Craft and iterate prompt templates for a variety of use cases (summarization, classification, Q&A)...

QuartzBio Overview QuartzBio (www.quartz.bio ) is a Software-as-a-Service (SaaS) solutions provider to the life sciences industry. We deliver innovative, data enabling technologies (i.e., software) that provide biotech/pharma (R&D) teams with enterprise-level access to sample/biomarker data management solutions & analytics, information, insight & reporting capabilities. Our end-to-end (from sample collection to biomarker data) suite of solutions are focused on providing sponsors information (data with context) we do this by connecting biospecimen, assay as well as clinical data sources in a secure and scalable cloud-based infrastructure, enabling seamless, automated data management workflows...

Position Overview We are seeking a Data Science Manager to lead our data collection efforts for Large Language Model (LLM) Training and Agentic AI initiatives. In this role, you will manage large teams of engineers and data scientists working on Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and Agentic AI systems. This position requires deep expertise in LLMs and Agentic AI, alongside strong leadership in managing large-scale AI delivery. You will be accountable for driving the development of datasets, creating benchmarks, identifying model losses while ensuring high quality, efficiency, and scalability. Key Responsibilities Lead and manage large, cross-fun...

Job Title: Senior AI Engineer (Remote) Experience: 7+ Years Location: Remote Domain: Agentic AI Systems, Large Language Models (LLMs) About The Role We are seeking a highly skilled Senior AI Engineer with deep expertise in Agentic AI architectures , LLM-based systems , and advanced machine learning techniques. This is remote opportunity to work with a cutting-edge team driving the future of autonomous and intelligent systems powered by LLMs As a Senior AI Engineer, you'll play a key role in designing, developing, and deploying agentic workflows, LLM-driven pipelines, and intelligent task automation. You should be comfortable operating independently, contributing to architectural decisions, a...

Organization: At CommBank, we never lose sight of the role we play in other people's financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things Job Title: FCT Engg - Chapter Area Lead - India Location: Bangalore-Manyata Tech Park (Hybrid) Business & Team: Corp Tech Impact & contribution: As a Chapter Area Lead you will be part of a squad within the Customer Lifecycle management cre...

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile Strong in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs and 5+ years of hands on dev exp Experience with VectorDB, documentation ingestion workflows etc.

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile Strong in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs and 5+ years of hands on dev exp Experience with VectorDB, documentation ingestion workflows etc.

Role Overview: You are an experienced AI/ML Engineer with a solid foundation in Machine Learning and Artificial Intelligence, and a minimum of one year of hands-on experience in Generative AI. Your expertise includes proficiency in Python, LLM Models, and emerging techniques such as Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic AI systems. Key Responsibilities: - Design, develop, and deploy AI/ML solutions focusing on generative models and LLMs. - Implement and optimize RAG pipelines for knowledge-aware AI systems. - Fine-tune and customize models for specific domains. - Build and manage agentic AI systems capable of autonomous planning and decision-making. - Collabora...

We are looking for a highly skilled Full-Stack AI Engineer who can design, develop, and deploy advanced AI-driven applications. The ideal candidate will have strong expertise in RAG (Retrieval-Augmented Generation) systems, vector databases , and end-to-end ML pipelines . You will be working on scalable, production-grade AI solutions leveraging state-of-the-art frameworks and cloud-native technologies. Key Responsibilities Design and implement RAG-based AI applications with optimized semantic search. Build and manage vector database solutions (Pinecone, Weaviate, Qdrant, FAISS). Develop and maintain production-ready ML systems ensuring performance and scalability. Apply prompt engineering te...

Role Overview: As an experienced Python engineer, you will have the opportunity for excellent future growth along either technology or management tracks. You should enjoy solving hard problems, be a technologist at heart who loves coding as much as building and leading a high-performing team, and be looking to create a real impact in the US Insurance ecosystem. Key Responsibilities: - Accountable for application development using Python and GenAI, including architecting, designing the technical solution, and leading the team in implementation. - Collaborate with application teams to integrate solutions with products and platforms, ensuring alignment with technology strategy and business outc...

Key Responsibilities Lead the design, development, and implementation of enterprise-scale AI/ML solutions optimized for real-world applications. Collaborate with cross-functional teams to identify business requirements and translate them into robust AI/ML strategies. Develop and optimize generative AI solutions using tools and frameworks such as LangChain, LangSmith, LlamaIndex, MCP, Semantic Kernel, Autogen, and Agents. Utilize Python along with frameworks such as PyTorch and TensorFlow to build sophisticated machine learning models and algorithms. Conduct analysis of data and identify trends, providing actionable insights to stakeholders. Mentor and guide junior data scientists, promoting ...

Software Developer Key Responsibilities Design, develop, and deploy AI/ML solutions with a focus on Generative AI and LLMs . Fine-tune, prompt-engineer, and optimize LLMs for domain-specific tasks. Leverage frameworks such as LangChain, LlamaIndex, or similar for building modular AI applications. Integrate LLMs with APIs, databases, vector stores, and enterprise applications. Evaluate and implement model deployment strategies (on-prem, cloud, serverless, or containerized environments). Collaborate with cross-functional teams (data engineers, product managers, software engineers) to deliver end-to-end AI solutions. Stay updated with the latest advancements in AI, ML, and GenAI research and pr...

Company : Soothsayer Analytics Working Hours : Full-Time No. of Positions : 4 Locations : Hyderabad apply now apply now Position Overview About the Role: We are seeking a talented Generative AI/LLM Engineer with a strong background in building and deploying AI models, focusing on leveraging state-of-the-art technologies like Azure OpenAI GPT-4, GPT-4 Vision, or GPT-4 Omni. Experience with Retrieval-Augmented Generation (RAG) and working with Vector Databases is essential. While fine-tuning large language models (LLMs) is a plus, it is not mandatory. A general understanding of how deep learning models are trained or fine-tuned is required. The ideal candidate should be able to quickly learn a...

Job Description We are seeking a talented Generative AI Engineer with a strong foundation in Python and backend engineering to build scalable AI-driven applications. This role blends hands-on development with cutting-edge AI research, focusing on integrating large language models (LLMs), prompt engineering, RAG systems, and vector databases to deliver intelligent solutions for complex business challenges. Key Responsibilities Design, build, and deploy generative AI models using frameworks like LangChain or LlamaIndex . Apply prompt engineering techniques and optimize LLM-based workflows for diverse business scenarios. Build Retrieval-Augmented Generation (RAG) pipelines using vector database...

We are looking for a hands-on AI/Agentic Engineer to build, integrate, and deploy AI agents, RAG (Retrieval-Augmented Generation) systems, and AI-powered applications. You will work across the full stack, from backend agent orchestration to AI-driven UIs, enabling scalable and high-performance AI solutions. Key Responsibilities Design, develop, and deploy AI agents and applications using modern AI frameworks. Implement RAG pipelines and integrate LLMs with structured and unstructured data sources. Build, maintain, and query vector databases for embeddings and semantic search. Collaborate with front-end developers to create AI-powered user interfaces when needed. Implement version control, CI...