885 Vector Databases Jobs

We are seeking a highly skilled Data Engineer with 811 years of experience in building scalable data pipelines, integrating AI/LLM models, and developing automation using Python The ideal candidate will have strong expertise in ETL development, API integrations, data processing workflows, and implementation of GenAI-powered solutions This role requires hands-on experience in designing data workflows, preparing datasets for AI/ML use cases, and working with vector databases, embeddings, and retrieval pipelines The candidate should be capable of collaborating with cross-functional teams, optimizing pipelines, ensuring data quality, and leveraging modern AI frameworks to deliver intelligent, en...

Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Solutions team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges.As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning and Generative AI technologies, aimed at addressing complex global challenges. Join our OCI Gen-AI Solutions team to build cutting-edge AI applications that tackle global challenges. We're seeking an experienced Principal Machine Learning Engineer (IC4) to design, develop, and deploy customized Generative AI solutions for strategic customers focu...

You are seeking an experienced Python Developer with a deep understanding of Artificial Intelligence, Machine Learning, and Large Language Models (LLMs) to join the Product Engineering team at Matrimony.com Ltd. As a Python Developer with AI/ML experience, you will be responsible for designing, building, and optimizing intelligent systems and data-driven applications that power next-generation product experiences. Your role will involve developing scalable machine learning pipelines, integrating LLM-based solutions, fine-tuning and deploying models, and implementing robust backend services that deliver secure, high-performance AI functionality. **Key Responsibilities:** - Design and build sc...

As an AI Engineer at Webfries, you will play a crucial role in bridging the gap between AI research and production-ready systems. Your responsibilities will include designing, developing, and deploying AI models while ensuring seamless integration with robust backend infrastructure. Your expertise in prompt engineering, Cursor, PostgreSQL, Python, and FastAPI will be essential in delivering scalable and performant solutions. Staying ahead of industry trends and advancements in LLMs, vector databases, and MLOps will also be a key part of your role. **Key Responsibilities:** - Design, test, and refine prompts for large language models to achieve optimal performance. - Implement retrieval-augme...

As an AI Architect at EY, your role will involve leading the design, development, and deployment of enterprise-grade generative AI solutions. You will be leveraging LLMs, diffusion models, and multimodal architectures to enable responsible and scalable adoption of GenAI across various business domains. Working cross-functionally with data scientists, software engineers, risk and compliance teams, and business stakeholders, you will define reference architectures, integrate systems, and ensure secure and ethical AI adoption. Your key responsibilities will include: - Designing scalable and modular architectures for generative AI solutions like LLMs, chatbots, copilots, document intelligence, i...

Role Overview: You will be joining GlobalLogic as a Generative AI Engineer, where you will play a crucial role in designing, building, and deploying cutting-edge generative models and applications. Your responsibilities will include working on large language model (LLM) training, fine-tuning, and developing sophisticated NLP solutions. If you are passionate about artificial intelligence and pushing its boundaries, this role is for you. Key Responsibilities: - Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques. - Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accurac...

As a member of the AI engineering team at Teradata, you will play a crucial role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes. You will architect foundational components for production-grade AI systems, including agent frameworks, LLM pipelines, and observability layers to ensure reliability, accountability, and performance. Your responsibilities will go beyond building models to making them measurable, debuggable, and trustworthy in real-world, high-stakes deployments. You will work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling challenging pr...

Role Overview: You will be responsible for designing, developing, and integrating LLM-powered applications into enterprise systems. Additionally, you will be building REST/GraphQL APIs for seamless AI model integration, implementing prompt engineering techniques, and optimizing embeddings for performance. Evaluating LLM performance and recommending improvements, fine-tuning/customizing models for enterprise use cases, and collaborating with cross-functional teams to deliver AI-driven productivity solutions will also be part of your role. Ensuring compliance with AI safety, security, and data privacy standards will be crucial. Key Responsibilities: - Design, develop, and integrate LLM-powered...

As a Python Developer at our company, you will be responsible for utilizing your expertise in Python development to contribute to the implementation of AI/ML frameworks and cloud services. Here is a breakdown of the key aspects of the role: **Role Overview:** You will be working with a team of professionals to develop Python-based solutions using frameworks such as FastAPI, Flask, or Django. Your role will involve hands-on experience with AI/ML frameworks like PyTorch, TensorFlow, and LangChain. Additionally, you will be expected to leverage your proficiency in Azure Cloud Services, including Azure ML, Azure OpenAI, Cognitive Services, Azure Storage, and Azure DevOps. **Key Responsibilities:...

Role Overview: You will be responsible for designing, developing, and maintaining applications in Python. Your role will involve implementing RAG pipelines by integrating various LLMs with enterprise and external data sources. Additionally, you will develop MCP-based integrations to connect tools, APIs, and enterprise data systems with LLMs. Building APIs and microservices for AI-powered search, summarization, and conversational AI will also be a key part of your responsibilities. Furthermore, you will create document ingestion pipelines and manage embeddings with vector databases. Collaborating with AI engineers, architects, and data teams to ensure scalable deployment of RAG/MCP solutions ...

Job Description AI/ML Engineer (Generative AI & LLMs About the Role We are looking for a passionate AI/ML Engineer with strong expertise in Generative AI, LLM integration, and RAG-based applications . The ideal candidate will have hands-on experience in building, deploying, and optimizing AI-powered solutions such as chatbots, knowledge assistants, and semantic search systems. You will collaborate with cross-functional Agile teams to rapidly prototype, fine-tune, and productionize intelligent applications. Key Responsibilities Design, develop, and deploy Generative AI applications such as RAG pipelines, chatbots, and knowledge assistants . Integrate and fine-tune LLMs for domain-specific use...

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Responsibilities May Include, But Are Not Limited To 80% [Primary Function] Technical Execution Contribute to accurate, unambiguous technical design specifications with appropriate detail, including GenAI-based system integration. Deliver customer value in the form of high-quality software components and AI-powered services while ensuring adherence to security, performance, longevity, and AI model integration best practices. Estimate the size of development tasks in story points. Understand and follow coding conventions, AI model integration architectures, and best pr...

We are seeking a highly skilled Data Engineer with 811 years of experience in building scalable data pipelines, integrating AI/LLM models, and developing automation using Python The ideal candidate will have strong expertise in ETL development, API integrations, data processing workflows, and implementation of GenAI-powered solutions This role requires hands-on experience in designing data workflows, preparing datasets for AI/ML use cases, and working with vector databases, embeddings, and retrieval pipelines The candidate should be capable of collaborating with cross-functional teams, optimizing pipelines, ensuring data quality, and leveraging modern AI frameworks to deliver intelligent, en...

Job Title AI First Full Stack Tech Lead Job Description AI First Full Stack Tech Lead. About the Role We are seeking a highly skilled AI Tech Lead / Senior Developer to drive the design, development, and integration of agentic AI solutions within Philips CRM landscape (Salesforce CRM, Microsoft Dynamics CRM, Conga CPQ, CLM). The role requires a strong foundation in AI/ML, LLMs, and agentic workflows, coupled with solid experience in enterprise-grade application development. The ideal candidate will combine deep technical expertise (AI/ML, Python, Java, JavaScript, MCP, microservices, React.js) with domain knowledge in CRM and CPQ/CLM to design innovative solutions that improve automation, co...

Job Summary: We are looking for a talented Generative AI Developer with strong Python expertise to join our team. The ideal candidate will have hands-on experience in building and deploying AI/ML models, especially in the field of Generative AI (e.g., LLMs, Diffusion Models, Transformers). Youll work closely with data scientists, product managers, and engineering teams to integrate intelligent, generative capabilities into real-world applications. Key Responsibilities: Design, develop, and deploy Generative AI models (e.g., LLMs, GPT, diffusion models, VAEs). Fine-tune pre-trained models using Hugging Face, OpenAI, or other frameworks. Build data pipelines and APIs to support training and in...

As a Senior AI/ML Specialist in Sustainability, Health & Safety at ERM, you will lead the development of AI accelerators, intelligent agents, and machine learning models to drive client impact in sustainability, health, and safety domains. You will have the opportunity to apply cutting-edge technologies such as LLMs, BERT, and Microsoft Azure AI to design enterprise-grade solutions. ERM is committed to delivering sustainability-focused digital solutions and values technical excellence, scalability, and cross-functional teamwork. **Key Responsibilities:** - Lead the design, development, and deployment of AI/ML solutions, accelerators, and frameworks for sustainability, ESG, and workplace safe...

Role Overview: The Data Science Analyst role within the GWFO team involves applying specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. As a Data Science Analyst, you will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications, while collaborating with cross-functional stakeholders. Key Responsibilities: - Gather and process operational data from various cross-functional st...

As an Immediate Joiner, you will play a vital role in designing, developing, and integrating LLM-powered applications into enterprise systems. Your responsibilities will include: - Building REST/GraphQL APIs to ensure seamless AI model integration. - Implementing prompt engineering techniques and optimizing embeddings for enhanced performance. - Evaluating LLM performance in terms of accuracy, latency, and cost, and suggesting improvements. - Working on fine-tuning and customization of models to cater to specific enterprise use cases. - Collaborating effectively with cross-functional teams to deliver AI-driven productivity solutions. - Ensuring compliance with AI safety, security, and data p...

Role Overview: You are required to join as a CTO - Architect Python AI/ML at Wipro Limited. You will be responsible for designing, developing, and maintaining robust agentic systems with advanced AI and ML capabilities. Your role will involve developing agents using agentic frameworks in Python, optimizing LangChain for efficient language model chaining, and deploying solutions based on Agent, LLMs, RAG to solve complex problems. Key Responsibilities: - Design, develop, and maintain robust agentic systems integrating advanced AI and ML capabilities. - Develop agents using agentic frameworks in Python, with mandatory experience in langgraph or autogen. - Implement and optimize LangChain for e...

As an Applied AI/ML Engineer/Data Scientist within our team, you will make a real impact by solving complex problems and delivering cutting-edge models into production environments. Collaborate with experts to design and deploy advanced solutions that drive quality and productivity. **Key Responsibilities:** - Develop and implement AI/ML models and algorithms to solve business problems. - Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. - Train and evaluate AI/ML models using large datasets. - Train and evaluate AI/ML models to help design test cases, automate coding, design self-healing codes, predict defects, identify optimized...

As a member of Apple's Data Services Data Analytics and Engineering team, your role will involve designing, architecting, engineering, and mentoring in Big Data and MPP technologies. You will have the opportunity to lead the development and management of new solutions using cutting-edge technologies like SingleStore, Vertica, Clickhouse, and Doris across different environments. Your responsibilities will include creating scalable and robust systems that adapt to evolving business requirements, optimizing system/datastore performance, developing proofs of concept for emerging technologies, and recommending tools and processes to accelerate the development and maintenance of Analytics workload...

You will be working as an Agentic Infrastructure Observability Engineer at XenonStack, a leading Data and AI Foundry for Agentic Systems. Your role will involve designing and implementing end-to-end observability frameworks for AI-native and multi-agent systems. Here are the key responsibilities associated with this role: - **Observability Frameworks**: - Design and implement observability pipelines covering metrics, logs, traces, and cost telemetry for agentic systems. - Build dashboards and alerting systems to monitor reliability, performance, and drift in real-time. - **Agentic AI Monitoring**: - Track LLM usage, context windows, token allocation, and multi-agent interactions. - Build mon...

As the Gen AI Manager at GlobalLogic, your primary responsibility will be to design, implement, and maintain large-scale Generative AI solutions, focusing on Large Language Models (LLMs). This role requires a combination of strategic leadership and hands-on technical execution, including architecture design, LLM fine-tuning, deployment, and ensuring operational excellence. **Key Responsibilities:** - **AI Architecture & Strategy:** - Design scalable, high-performance AI/LLM systems for production environments. - Define AI model strategy, infrastructure requirements, and integration with existing systems. - **LLM Operations (LLM Ops):** - Oversee deployment, monitoring, and maintenance of LLM...

As a Manager - AI/GenAI at EY, you will have the opportunity to work in a multi-disciplinary technology team focusing on Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. Your role will involve developing and delivering industry-specific solutions for various sectors such as Financial services, Consumer products & Retail, Healthcare & wellness, Manufacturing, Supply chain, Telecom, Real Estate, etc., which will be utilized to implement EY SaT mergers and acquisition methodologies. **Key Responsibilities:** - Develop, review, and implement solutions using AI, Machine Learning, Deep Learning, and Python programming. - Lead the developm...

As an AI Automation Engineer, you will be responsible for developing and fine-tuning LLM-based models and AI agents for automation, reasoning, and decision-making. Additionally, you will build multi-agent systems that coordinate tasks efficiently and design prompt engineering, retrieval-augmented generation (RAG), and memory architectures. Your role will also involve optimizing inference performance and reducing hallucinations in LLMs, as well as integrating LLMs with APIs, databases, and external tools for real-world applications. You will implement reinforcement learning with human feedback (RLHF) and continual learning strategies, collaborating with research and engineering teams to enhan...