3788 Langchain Jobs - Page 8

About The Role Grade Level (for internal use): 10 Key Responsibilities As an Agentic AI Senior Developer, you will: Framework and Platform Expertise: Evaluate, recommend, and implement leading AI tools and frameworks, with a strong focus on autonomous AI solutions (e.g., multi-agent frameworks, self-optimizing systems, LLM-driven decision engines). Drive the selection and utilization of cloud platforms (AWS preferable) for scalable AI deployments. Customization and Optimization: Design strategies for optimizing autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Define methodologies for fine-tuning LLMs, multi-agent frameworks, and feedback loops ...

Position Overview Job Title- Lead Data Scientist-Lead Engineer, VP Location- Pune, India Role Description: The Deutsche India is seeking a talented and driven Lead Data Scientist to join our growing team. At the Service Solutions and AI Domain, our mission is to revolutionize our Private Bank process landscape by implementing holistic, front-to-back process automation. And being a Private Bank AI Centre of Excellence we are responsible for strategy building and execution of AI innovation, governance, and delivery across Private Bank, ensuring standardization, compliance, and accelerated adoption of AI solutions. We are dedicated to leveraging the power of data to drive innovation, optimize o...

Role Overview: As a Lead AI Engineer in the Innovation team of the TDI Chief Strategy Office at Deutsche Bank, your primary role will be to lead technical teams in identifying, evaluating, and executing data- and AI-driven innovation projects. You will be instrumental in designing and building high-quality software products that utilize AI and advanced data-driven technologies to deliver sustainable value for the bank. Additionally, you will provide technical leadership, guidance, and support to your team, ensuring successful technical project delivery and acting as a trusted advisor. Key Responsibilities: - Design and build high-quality software products leveraging AI and other advanced dat...

As a Lead ML/AI Scientist at CDK, you will be responsible for mentoring a team to deliver high-quality ML/AI solutions. You will own the full ML lifecycle from data exploration to model deployment. Your role will involve architecting and implementing models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaboration with product, engineering, and MLOps teams to translate business needs into scalable ML solutions will be a key aspect. You will utilize LLMs and Retrieval-Augmented Generation (RAG) for building intelligent customer experiences. Championing model performance, interpretability, and reproducibility across varied domains will be part of your ...

As a software engineer specializing in machine learning, natural language processing, and data science, you will play a crucial role in developing cutting-edge AI solutions. Your responsibilities will include: - Designing and coding machine learning models, focusing on NLP, deep learning, and data science - Applying NLP techniques for text representation, semantic extraction, and data modeling - Utilizing AI technologies such as ML, DL, NLP, RL, and deep learning frameworks like TensorFlow/Keras or PyTorch - Working with typical data used in NLP and deep learning models - Creating technical examples, prototypes, and demonstrations using rapidly changing data and tool sets Qualifications requ...

You are expanding your IP and technology expertise with a dedicated software division focused on intelligent applications and automation. The goal is to build dashboards, custom AI agents, and AI-driven platforms to revolutionize the way Clients and Internal Users access, process, and utilize data-driven insights. **Role Overview:** - Design and develop interactive applications, AI-backed dashboards, and customized AI agents for specific business use cases. - Integrate AI/ML frameworks (LangChain, Rasa, LlamaIndex, Hugging Face, etc.) into production-grade applications. - Build scalable APIs and backend services to support frontend and AI functionalities. - Ensure seamless data integration a...

As an AI Expert, your role will involve designing and implementing RAG pipelines using state-of-the-art LLMs and vector databases. You will be optimizing retrieval efficiency through hybrid search, re-ranking, embeddings fine-tuning, and metadata enrichment. Additionally, as part of your responsibilities, you will architect and deploy agentic AI platforms to enable autonomous agents to interact with tools, APIs, and enterprise data. Collaborating with engineering teams to integrate AI workflows into production applications, defining and tracking evaluation metrics for AI responses, ensuring scalability, robustness, and compliance of AI systems in real-world deployments, and staying up to dat...

As a Data Science Associate at Metyis, you will be responsible for executing data science projects from start to end. Your key responsibilities will include: - Understanding client business problems, defining analytical approaches, and developing actionable solutions. - Engaging directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. - Preprocessing and analyzing structured and unstructured data using statistical approaches. - Building and deploying predictive models, forecasting solutions, and recommendation systems. - Collaborating with engineering, product, and business teams to translate insights into outcomes. - Communicating results clearly...

As a Principal Engineer joining the Platform team of Cisco's AI department, you will have the opportunity to play a crucial role in integrating non-AI service and AI services for Cisco Cloud Control products. Your expertise in service operations, architecting/building effective interfaces, and ensuring proper instrumentation will be essential for the success of the product. Your responsibilities will include collaborating with various stakeholders, designing and building interfaces between AI services, monitoring service performance, optimizing integrated AI services, and ensuring security and compliance standards are met. Key Responsibilities: - Provide technical leadership to guide designs...

As a highly skilled Generative AI Solution Architect, your role involves designing, architecting, and deploying scalable AI-driven solutions that leverage generative models, Small Language Models (SLMs), and autonomous agents to revolutionize operations in various industrial sectors. Key Responsibilities: - Lead the end-to-end design and deployment of generative AI systems using SLMs integrated with Agentic AI workflows in complex industrial settings. - Select and fine-tune Small Language Models for specific tasks such as predictive analytics, operational assistance, and workflow automation, ensuring low latency, reduced cost, privacy, and edge deployment. - Architect multi-agent systems whe...

Role Overview: You will be responsible for designing, developing, and optimizing autonomous AI agents that interact with systems, users, and APIs to perform complex tasks. Your work will involve the intersection of LLMs, agentic frameworks, and cloud architectures, focusing on developing self-improving AI workflows for automation, coding, and decision-making. Key Responsibilities: - Strong Python Programming experience with AI/ML frameworks such as TensorFlow, PyTorch. - Design, build, and deploy AI agents using LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks. - Integrate large language models (LLMs) (GPT-4,o1, Claude, Llama, Mistral etc.) into multi-agent systems. - Develop mul...

Role Overview: As an AI/Machine Learning Engineer at Siemens Energy, you will be responsible for collaborating with multi-functional teams to design, develop, and maintain robust machine learning models and workflows. Your role will involve transforming raw data into actionable insights, optimizing algorithms for performance, and integrating AI capabilities into dynamic applications to provide seamless user experiences and enhanced functionality. Key Responsibilities: - Create end-to-end workflows for the training and inference pipeline of the machine learning models. - Design, develop, and implement multi-step RAG (Retrieval-Augmented Generation), agentic, or tool-augmented workflows using ...

As a Technical Lead AI, your role involves driving the design, development, and deployment of AI-driven solutions across multiple product lines. You will collaborate with cross-functional teams to architect scalable AI systems, mentor engineers, and ensure the successful integration of AI capabilities into business applications. Key Responsibilities: - Lead the end-to-end design and implementation of AI/ML and GenAI solutions, including Retrieval-Augmented Generation (RAG) pipelines. - Partner with product and business stakeholders to define AI strategies aligned with organizational goals. - Architect and optimize data pipelines to ensure high-quality, scalable, and reliable input for AI/ML ...

As a skilled Python Developer with 4-6 years of experience, you will be joining our growing technology team to work on cutting-edge AI models and applications. Your main responsibilities will include designing, developing, and deploying AI solutions with a focus on large language models, text-to-image systems, and other GenAI solutions. Your strong programming expertise, problem-solving abilities, and passion for innovation in AI will be crucial for this role. **Key Responsibilities:** - Design, build, and optimize AI-driven applications using Python and modern ML/GenAI frameworks. - Develop and fine-tune large language models (LLMs) and foundation models for business use cases. - Implement ...

Role Overview: Join the Team Revolutionizing Procurement Analytics at SenseCloud. Sensecloud envisions a future where Procurement data management and analytics is as intuitive as your favorite app. They are redefining procurement analytics to provide real-time insights, automation, and a frictionless experience for quick decision-making. As an AI Engineer, you will be designing, implementing, and productionizing LLM-powered agents to solve real-world enterprise problems. You will work on multi-agent systems, fine-tune LLMs, integrate agents with enterprise data sources, and own the MLOps lifecycle. Key Responsibilities: - Architect & build multi-agent systems using frameworks such as LangCha...

Role Overview: As an Associate Sales Engineer at the company, your main role will be to provide technical expertise to the sales team. This involves conducting product demonstrations, analyzing customer needs, and proposing tailored solutions to potential clients. A strong blend of engineering and interpersonal skills, including problem-solving and communication, is essential for success in this role. Key Responsibilities: - Serve as a technical resource for the sales team by explaining product capabilities and use cases to potential customers. - Understand customer requirements and design customized solutions that address their unique technical and business needs. - Deliver compelling techn...

Role Overview: You will be a Data Analytics focused Senior Software Engineer at PubMatic, responsible for developing advanced AI agents to enhance data analytics capabilities. Your role will involve building and optimizing AI agents using technologies such as Hadoop, Spark, Scala, Kafka, and cloud-based solutions. You will play a crucial role in improving data-driven insights and analytical workflows for the platform. Key Responsibilities: - Build, design, and implement a highly scalable and fault-tolerant big data platform for processing terabytes of data and providing in-depth analytics. - Develop backend services using Java, REST APIs, JDBC, and AWS. - Create and maintain Big Data pipelin...

As a Full Stack Developer at DigLip7, you will play a crucial role in developing cutting-edge SaaS products and AI-driven platforms. You will have the opportunity to work on diverse and impactful projects in a collaborative and innovative work culture. If you are passionate about AI automation and web platforms, this role is for you. **Key Responsibilities:** - **AI Automation Development** - Integrate AI/ML models into platforms (chatbots, predictive analytics, NLP, computer vision, RPA). - Automate workflows for task management, SEO audits, reporting, legal documentation, and astro predictions. - Implement AI agents for intelligent, self-learning task execution. - **Full Stack Development*...

As a member of the Digital Workforce team at Red Hat's Data and AI organization, you will play a crucial role in building and delivering strategic AI agents to enhance human capabilities, streamline workflows, and scale operations within the enterprise. Working in a fast-paced and dynamic environment, your responsibilities will include: - Architecting, designing, documenting, and developing applications in Python and frameworks like LangChain, LangGraph, and LLamaStack - Leading the implementation of Agentic AI applications and scalable open-source solutions with distributed computing capabilities using Machine Learning models on OpenShift AI - Designing new features with RAG, RAFT, GraphRAG...

As Principal AI Engineer, you will lead the technical design and development of AI agent systems and LLM-powered capabilities. You'll operate at the intersection of applied research, systems design, and strategic customer engagement. While your day job includes architecting scalable, production-ready AI components, your role also spans into guiding enterprise customers - serving as a thought leader in pre-sales, executive briefings, and AI strategy workshops. Key Responsibilities: - Technical Leadership - Architect and implement advanced AI agent frameworks using LLMs (e.g. GPT, Claude, open-weight models). - Design end-to-end systems and solutions that integrate planning, memory, retrieval,...

As an experienced Python developer with specialization in AI-driven applications, you will be responsible for developing high-performance backend solutions using FastAPI. Your expertise in working with LLMs (GPT, Llama, Claude, etc.) and AI model deployment will be crucial in this role. Additionally, your hands-on experience with LangChain for AI-driven workflows and vector databases (FAISS, Pinecone, Weaviate, ChromaDB, etc.) will be valuable assets to the team. Key Responsibilities: - Develop AI-driven applications using Python with a focus on FastAPI for backend development. - Work with LLMs and deploy AI models effectively. - Utilize LangChain for designing AI-driven workflows. - Impleme...

As a part of the Beghou team, you will be involved in designing, developing, and deploying AI solutions specifically tailored to pharmaceutical clients. Your collaboration with cross-functional teams, including data scientists, business consultants, and software developers, will be crucial in translating complex life sciences challenges into AI-driven innovations. Key Responsibilities: - Design and implement AI/ML pipelines to address real-world problems in life sciences such as territory alignment, rep scheduling, patient segmentation, and incentive compensation optimization. - Work closely with domain consultants to understand client requirements and develop customized AI solutions. - Lead...

As a candidate with 5+ years of experience in AI/ML, you should have a strong expertise in deep learning, including supervised, unsupervised, self-supervised, and reinforcement learning. Additionally, you should be well-versed in Large Language Models such as Transformers, self-attention, mixture of experts, and embeddings. Your key responsibilities in this role would include: - Proven experience in Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design, orchestration, and optimization. - Hands-on experience with model fine-tuning, data pre-processing, and Python programming, with proficiency in ML frameworks like PyTorch, TensorFlow,...

As a Senior AI/ML Engineer at the company, your role will involve architecting and leading the development of advanced AI systems focusing on document processing and generative AI. You will work with cutting-edge technologies like LLMs, RAG, vector databases, and the Azure AI stack to deliver innovative solutions that redefine how enterprises extract, classify, and leverage unstructured data. Additionally, you will mentor junior AI engineers and play a key role in shaping the roadmap of intelligent automation for financial workflows. **Key Responsibilities:** - Architect, implement, and optimize AI/ML systems for parsing and extracting tabular and semi-structured data from complex PDF docume...

Role Overview: As an AI Decision Science Consultant, you will be responsible for leading the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. Leveraging cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations, you will create intelligent systems capable of reasoning, planning, and acting independently to address complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Key Re...