6 Flowise Jobs

As a Platform Development and Machine Learning expert at Adobe, you will play a crucial role in changing the world through digital experiences by building scalable AI platforms and designing ML pipelines. Your responsibilities will include: - Building scalable AI platforms that are customer-facing and evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models and designing APIs for model inferencing at scale. - Demonstrating proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. - Serving as a subject matter expert in LLM serving paradigms and possessing deep knowledge of GPU architectures. - Expertise in distributed training and serving of large language models and proficiency in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM. - Demonstrating proven expertise in model fine-tuning and optimization techniques to achieve better latencies and accuracies in model results. - Reducing training and resource requirements for fine-tuning LLM and LVM models. - Having extensive knowledge of different LLM models and providing insights on the applicability of each model based on use cases. - Delivering end-to-end solutions from engineering to production for specific customer use cases. - Showcasing proficiency in DevOps and LLMOps practices, including knowledge in Kubernetes, Docker, and container orchestration. - Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph. Your skills matrix should include expertise in LLM such as Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama, LLM Ops such as ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI, Databases/Datawarehouse like DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery, Cloud Knowledge of AWS/Azure/GCP, Dev Ops knowledge in Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus, and Cloud Certifications (Bonus) in AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert. Proficiency in Python, SQL, and Javascript is also required. Adobe is committed to creating exceptional employee experiences and values diversity. If you require accommodations to navigate the website or complete the application process, please contact accommodations@adobe.com or call (408) 536-3015.,

You will be responsible for designing, building, and maintaining automated workflows using tools such as n8n, Make, Activepieces, Windmill.dev, or Coze. Your role will involve integrating APIs, databases, webhooks, and third-party services into workflows. Collaboration with cross-functional teams to understand automation needs and effectively translate them into efficient workflows will be a key aspect of your job. Additionally, you will have the opportunity to build and experiment with AI-powered flows using tools like LangChain, Flowise, or CrewAI. Testing, debugging, and optimizing workflows to ensure performance and reliability will also be part of your responsibilities. Documenting workflows, processes, and key automation logic for internal knowledge sharing is essential to facilitate seamless workflow management. The ideal candidate should have hands-on experience, whether through projects, freelance work, or personal initiatives, with at least one of the following tools: n8n, Coze, Make (Integromat), Activepieces, Windmill.dev, LangChain, Flowise, or CrewAI. A basic understanding of APIs, webhooks, and JSON is required, along with knowledge of workflow logic including triggers, conditions, loops, branching, and scheduling. Moreover, familiarity with integrating Software as a Service (SaaS) tools such as Slack, Gmail, Notion, and Airtable is beneficial for this role. A strong analytical and problem-solving mindset is essential to effectively tackle challenges that may arise during workflow automation. The willingness to learn and adapt to emerging tools and frameworks is crucial to stay updated and enhance your skills in this dynamic field.,

You will be working as an AI Platform Engineer in Bangalore as part of the GenAI COE Team. Your key responsibilities will involve developing and promoting scalable AI platforms for customer-facing applications. It will be essential to evangelize the platform with customers and internal stakeholders, ensuring scalability, reliability, and performance to meet business needs. Your role will also entail designing machine learning pipelines for experiment management, model management, feature management, and model retraining. Implementing A/B testing of models and designing APIs for model inferencing at scale will be crucial. You should have proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. As an AI Platform Engineer, you will serve as a subject matter expert in LLM serving paradigms, with in-depth knowledge of GPU architectures. Expertise in distributed training and serving of large language models, along with proficiency in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM, will be required. Demonstrating proven expertise in model fine-tuning and optimization techniques to achieve better latencies and accuracies in model results will be part of your responsibilities. Reducing training and resource requirements for fine-tuning LLM and LVM models will also be essential. Having extensive knowledge of different LLM models and providing insights on their applicability based on use cases is crucial. You should have proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases. Your proficiency in DevOps and LLMOps practices, along with knowledge of Kubernetes, Docker, and container orchestration, will be necessary. A deep understanding of LLM orchestration frameworks such as Flowise, Langflow, and Langgraph is also required. In terms of skills, you should be familiar with LLM models like Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, and Llama, as well as LLM Ops tools like ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, and Azure AI. Additionally, knowledge of databases/data warehouse systems like DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, and Google BigQuery, as well as cloud platforms such as AWS, Azure, and GCP, is essential. Proficiency in DevOps tools like Kubernetes, Docker, FluentD, Kibana, Grafana, and Prometheus, along with cloud certifications like AWS Professional Solution Architect and Azure Solutions Architect Expert, will be beneficial. Strong programming skills in Python, SQL, and Javascript are required for this full-time role, with an in-person work location.,

Short Description Description About Oracle Customer Success Services Oracle University & the Role It is an exciting time to be part of Oracle Customer Success Services (CSS) Oracle University. As Oracle continues to rapidly introduce new products and enhancements, our focus is on delivering world class training solutions for next-generation AI capabilities that automate and revolutionize business processes across industries. The Fusion Cloud Applications Product Management Team within Oracle University is instrumental in setting the learner journey direction aligned to the innovative Fusion Cloud Applications AI initiative , and we are seeking a highly skilled, visionary Solution Lead with deep expertise in Oracle Fusion Cloud Applications and AI-driven solutions. This unique opportunity blends technical leadership, consulting, enablement, curriculum strategy, and hands-on innovation. You will shape, deliver, and educate on practical, scalable AI and AI Agent solutions that empower customers and Oracle partners to leverage leading AI capabilitieswhile translating the latest Oracle Fusion Cloud Application AI innovations into actionable training and enablement resources. Responsibilities Key Responsibilities AI Training Strategy and Design Lead the design and deployment of Oracle Fusion Cloud (ERP, HCM, SCM, CX) solutions by building and integrating the latest AI/ML innovations from Oracles evolving cloud portfolio into innovative training solutions. Consult closely with product development on the end-to-end implementation of practical AI agent applications, ensuring alignment with business objectives and industry best practices to include in OU training catalog. Serve as a subject matter expert and technical advisor, guiding customers and systems integrator partners on effectively implementing, tailoring, and operationalizing AI agent templates via OU training catalog. Advisory, & Best Practice Development Engage directly with Product Development to define training requirements, use cases, and desired AI outcomestranslating these needs into hands-on, deployable technical training solutions. Document and curate AI agent best practices, use cases, and lessons learned, elevating OU learners understanding and adoption of AI-powered enterprise solutions. Provide actionable feedback to CSS OU teams based on real-world AI agent deployments and customer interactions to continually evolve and enhance training. Partner & Customer Enablement: Training and Curriculum Leadership Act as an AI evangelist and enablement leaderdesign, develop, and continuously update comprehensive training curriculum and enablement resources focused on Oracle Fusion Cloud Applications AI capabilities for Oracle partners and customers. Proactively track and evaluate new Oracle Fusion Cloud AI features and innovations, translating advancements into high-impact internal and external enablement programs, workshops, documentation, and learning content. Innovation, Collaboration & Continuous Improvement Collaborate cross-functionally with Oracle product development and curriculum teams to innovate and refine agent-based cloud solutions, remaining hands-on and current in advanced AI and analytics trends. Lead continuous process and content improvement by gathering and analyzing stakeholder feedback, iterating training materials and curriculum as Oracles AI portfolio advances. Use project management and analytics tools to transparently track deliverables, monitor program and curriculum success, and measure overall business impact. Required Qualifications Bachelors or Masters degree in Computer Science, Software Engineering, Advanced Analytics, Information Systems, or a related STEM field. Experience working directly with customers, partners, and sales teams to deliver tailored technical solutions and advisory services Strong background in computer science, technical solution engineering, or advanced analytics. Understanding of RAG (Retrieval-Augmented Generation) techniques is required. Experience in designing and building AI multi-agent solutions for business environments is a plus Has built and deployed enterprise applications, including experience in solution engineering, building functional and/or technical demonstrations, consulting, or software development. Hands-on experience implementing scalable AI systems is desired though not required. Ability to understand, clarify, and translate functional/business requirements into practical, viable training solutions Experience leading Oracle Fusion Cloud Application implementations (ERP, HCM, SCM, CX) focusing on AI and enterprise innovation Demonstrated hands-on experience architecting, building, and deploying enterprise-class cloud and AI/ML solutionsparticularly within Oracle Fusion Cloud and/or analogous ERP, HCM, SCM, CX platforms. Expertise in the design of functional/technical curriculum and enablement material. Proficiency with frameworks such as Flowise, CrewAI, Relevance AI, Langchain, or AutoGen. Ability to consult, advise, and collaborate directly with enterprise customers, SI partners, and Oracle sales teams to deliver tailored, high-impact AI and cloud solutions. Outstanding communication skills (oral, written, and presentation), strong analytical and critical thinking skills, and the ability to proactively solve complex problems. Experience working in a fast-paced, dynamic software/cloud environment. Preferred Qualifications Oracle Cloud Architect and/or relevant Functional certifications. Experience enabling Oracle partners/customers in deploying and adopting AI or automation-driven cloud solutions. Previous involvement in change management and user adoption programs for enterprise systems. Knowledge of hybrid and multi-cloud architectures. Show more Show less

Company Name: Radiant Consumer Appliances Pvt. Ltd. Brand Name: Cafe Desire Location: Hyderabad Name of Job Position: AI Automation Engineer Job Summary We are seeking a highly skilled and innovative AI Automation Engineer to join our dynamic team. This role is pivotal in transforming our digital marketing landscape and streamlining internal operations through cutting-edge AI and automation technologies. The ideal candidate will be a No-Code Developer and Low-Code Platform expert, capable of designing and implementing sophisticated Automation Workflows that leverage AI Automation and advanced Prompt Engineering . You will be responsible for taking raw content and business processes and utilizing a suite of powerful tools like Zapier, Make.com, Pabbly, n8n, Flowise, ChatGPT, and Gemini to create efficient, scalable, and intelligent automated solutions Key Responsibilities Design & Implement AI-Powered Automation: Lead the end-to-end design, development, and deployment of AI-driven automation workflows for both digital marketing initiatives and broader company processes. Digital Marketing Process Automation: Specialize in automating digital marketing campaigns, including lead generation, content distribution, social media management, email automation, and performance reporting. Cross-Functional Workflow Streamlining: Act as a Business Automation Expert to identify, analyze, and streamline repetitive tasks and complex operational workflows across various departments. No-Code/Low-Code Platform Development: Develop, configure, and maintain robust automation solutions primarily using No-Code/Low-Code Platforms such as Zapier, Make.com, Pabbly, n8n, and Flowise . AI Agent & Prompt Engineering: Leverage advanced AI models like ChatGPT and Gemini through expert Prompt Engineering to build intelligent AI Agent Developer solutions and enhance existing workflows. Integration & Webhooks Management: Establish and manage seamless integrations between disparate software applications and services utilizing Webhooks and APIs, including Slack Integration . Google Sheets & Email Automation: Implement advanced automation for data management, analysis, and reporting within Google Sheets Automation , and create sophisticated Email Automation sequences. Process Optimization & Documentation: Continuously monitor, evaluate, and refine existing Automation Workflows for optimal performance, efficiency, and scalability, providing comprehensive documentation. Stakeholder Collaboration & Training: Collaborate closely with internal teams to understand their automation needs, translate requirements into technical solutions, and provide training and support for adopted automations. Troubleshooting & Maintenance: Provide ongoing support, troubleshoot issues, and perform regular maintenance on all deployed automation systems to ensure reliability and uptime. Requirements Proven Automation Expertise: Minimum of 3+ years of hands-on experience as an Automation Specialist with a strong portfolio of successfully implemented automation projects. Mastery of No-Code/Low-Code Tools: Demonstrated expert proficiency in designing and building Automation Workflows using platforms such as n8n, Make.com, Zapier, Pabbly, and Flowise . AI Workflow Development Skills: In-depth understanding and practical experience with AI Workflow Design using large language models like ChatGPT and Gemini , including advanced Prompt Engineering techniques. Digital Marketing Automation Background: Solid experience in automating various facets of digital marketing, demonstrating an understanding of marketing funnels and campaign processes. Google Sheets Automation Proficiency: Advanced skills in Google Sheets Automation , including complex formulas, data manipulation, and integration with external services. API & Webhook Integration: Strong technical understanding and practical experience in configuring and utilizing Webhooks and APIs for data exchange and system integration. Analytical & Problem-Solving Acumen: Exceptional analytical abilities to identify inefficiencies, diagnose complex automation issues, and devise effective, scalable solutions. Communication & Collaboration: Excellent verbal and written communication skills, with the ability to articulate technical concepts clearly to non-technical audiences and foster cross-functional collaboration. Self-Motivated & Independent: Ability to work autonomously, manage multiple automation projects concurrently, and prioritize tasks effectively to meet deadlines. Continuous Learning: A strong passion for staying updated with the latest trends and advancements in AI Automation , machine learning, and digital marketing technologies. Why Join Caf Desire? A Culture of Growth: We believe in nurturing talent and providing continuous learning opportunities. Whether its skill enhancement, career progression, or leadership development, we empower our employees to reach their full potential. Work with a Market Leader: Caf Desire is a trusted name in the beverage vending industry , serving thousands of customers across industries. By joining us, you become a part of a brand that is respected, innovative, and growing rapidly. Recognition & Rewards: We celebrate our employees achievements, big and small. Our performance-driven culture ensures that your hard work is recognized and rewarded. A Supportive Team: We foster a collaborative and positive work environment where teamwork, respect, and mutual support are at the core of our success. Bringing Joy in Every Sip: As part of Caf Desire, you’ll contribute to enhancing workplace experiences for countless businesses by delivering high-quality products and excellent customer service. Career Growth Opportunities: We don’t just offer jobs; we offer careers ! If you're looking for stability, career advancement, and a company that values your ambitions , you’ve come to the right place. Be Part of Something Bigger: Join Caf Desire and be part of a mission to redefine the way people enjoy their beverages, one cup at a time! About the Company Radiant Consumer Appliances Pvt. Ltd., the parent company of Caf Desire , is a leader in the hot beverage vending industry , offering state-of-the-art coffee and tea vending machines along with premium-quality premixes. Since our inception, we have been revolutionizing workplaces by providing hassle-free, on-demand beverages that keep businesses running smoothly. With a strong presence across India and expanding globally, Caf Desire is known for its commitment to quality, innovation, and customer satisfaction . Our customers range from small businesses to large enterprises, and our goal is to deliver joy in every sip . We are not just a brand; we are a community of passionate individuals dedicated to creating delightful customer experiences. If you’re looking for a career where your skills and enthusiasm will be valued, this is the place for you! Visit us at www.cafedesire.co.in Preferred Key Skills: Automation Expertise, No-Code Development, Low-Code Platforms, Automation Workflows, AI Automation, Prompt Engineering, Zapier, Make.com, Pabbly, n8n, Flowise, ChatGPT, Gemini, AI Agent Development, Integration, Webhooks, APIs, Slack Integration, Google Sheets Automation, Email Automation, Process Optimization, Documentation, Troubleshooting, Maintenance, Digital Marketing Automation, Marketing Funnels, Campaign Processes, Analytical Skills, Problem-Solving, Communication Skills, Collaboration, Self-Motivated, Independent Work, Continuous Learning, Machine Learning, Digital Marketing Technologies.

As an AI Systems Architect / LLM-Native Generalist at SBEK (Sab-Ek), a jewelry brand rooted in service, myth, and light, you will play a crucial role in shaping the integration of storytelling, AI systems, product design, and social impact. Your primary responsibility will be to design, test, and implement advanced AI tools and infrastructure that will enhance our brand and operational efficiency. Your expertise in working with various no-code and low-code platforms, modern LLM tools, and the evolving AI agent ecosystem will be essential for this role. You should possess a proactive approach to experimentation, quick learning abilities, and a track record of reliable execution. Key Responsibilities: - Design and manage internal AI workflows using platforms such as Supabase, Lovable, Cursor, N8n, and Airtable - Evaluate and utilize tools like Lang Chain, GPT-4, Claude, Mistral, Flowise, Vercel AI SDK, and other RAG frameworks - Collaborate with the founder to create prototypes using a combination of no-code solutions, automation, and API logic - Stay updated on the latest LLM tools, open-source projects, and AI-enabled platforms - Develop simple documentation and system maps to ensure team alignment Required Skills & Experience: - Proficiency in various AI-native tools such as Lovable, Cursor, N8n, Supabase, Zapier, Vercel, Firebase, Flowise, Make, and Lang Chain - Understanding of backend logic, user roles, API integrations, and real-time data processing - Ability to implement secure authentication systems and subscription workflows independently - Strong problem-solving capabilities, creativity, and a knack for turning abstract ideas into functional solutions - Familiarity with prompt engineering, vector databases, and the basics of model selection - Willingness to iterate, experiment, and deliver solutions efficiently Bonus Qualifications: - Experience in developing custom GPT models or personal AI assistants - Demonstrated ability to integrate multiple tools or models in innovative ways - Interest in leveraging AI for social good initiatives - Track record of deploying successful applications or automations - Excellent communication skills and the ability to articulate complex concepts clearly This role is ideal for individuals who already possess a deep understanding of AI concepts and technologies and are eager to further explore the field. Please note that we are seeking candidates who are already proficient in AI tools and platforms, as we are not offering training from scratch. If you are actively engaged in exploring AI tools, utilizing platforms like Lovable and Cursor, and envisioning their potential applications in products and businesses, we encourage you to apply for this exciting opportunity at SBEK.,