3 Adaptive Workflows Jobs

As a forward-thinking and AI-native VP of Product Management at Zycus, you will have the opportunity to lead the next frontier of innovation in Agentic AI and autonomous enterprise software. Your role will involve transforming Zycus" suite of procurement and supply chain solutions into next-gen, AI-driven products with built-in intelligence, automation, and adaptability. You will be empowered with complete ownership, from vision and design to launch and market success. **Key Responsibilities:** - Lead the vision, strategy, and execution of AI-first enterprise products, especially those leveraging Agentic AI, LLMs, intelligent agents, and advanced automation. - Drive product innovation that enables autonomous decision-making and enhances user experience via adaptive workflows and contextual intelligence. - Partner with engineering, AI/ML teams, and data science to shape product architectures that are scalable, secure, and continuously learning. - Define AI use cases across sourcing, procurement, supplier management, and compliance, translating business pain points into high-impact product features. - Guide end-to-end product development from discovery and rapid prototyping to deployment and post-launch iteration. - Develop a deep understanding of customer workflows and infuse AI capabilities to drive measurable business outcomes. - Champion a user-first mindset with experimentation, A/B testing, and behavioral analytics. - Work closely with GTM, sales, and marketing to define compelling product narratives and positioning. - Stay ahead of market trends, research advancements in GenAI and agentic systems, and bring those insights into the product roadmap. **Qualifications Required:** - Ability to handle ambiguity and change - Very strong logical thinking capabilities and analytical skills - Visualize and conceptualize new ideas and solutions - UI designing & prototyping (use of wireframing tools) - Research and analysis (both primary and secondary research) - Customer management and excellent communication & presentation skills - Art of negotiation and prioritization - Ability to manage teams and build close relationships with different team members - Visionary **Desired Experience:** - Education: BE is a must + full-time MBA from a Tier 1 B-School (IIMs, ISB, XLRI, SPJIMR, FMS, MDI, etc.). - 13+ years in product management, with recent experience building AI-native SaaS or enterprise software products. - Proven ability to conceptualize, build, and scale AI products or intelligent platforms. - Experience working with GenAI, LLMs (like GPT, Claude), intelligent agents, or autonomous product workflows. - Strong design thinking capabilities and ability to rapidly prototype innovative solutions. - Deep analytical mindset with strong intuition for user behavior, product adoption, and growth loops. - Outstanding stakeholder management, executive presence, and cross-functional leadership. - Bias for action, clarity of thought, and the ability to operate in fast-paced, ambiguous environments. **Why Should You Join Us ** - Cloud Product Company: Zycus is a Cloud SaaS Company that utilizes the latest technologies like ML and AI in product development. - Market Leader: Recognized by Gartner as a Leader in Procurement Software Suites. - Career Growth: Opportunity to shift roles and functions within the organization. - Global Exposure: Work and deal with global customers. - Impact Creation: Environment to create an impact on the product and transform ideas into reality. In summary, as a VP of Product Management at Zycus, you will lead the innovation in AI-driven products, work closely with cross-functional teams, and have the opportunity to make a real impact on the product and organization.,

About the Role: We are seeking a highly motivated and technically proficient AI Agent Development Engineer to join our advanced AI team. In this role, you will design, build, and deploy intelligent, autonomous AI agents that leverage Generative AI, Reinforcement Learning, Retrieval-Augmented Generation (RAG), and Agentic AI principles to perform complex, dynamic tasks across diverse domains. You will work at the forefront of AI agent architecture , integrating reasoning, memory, tool usage, and multi-step decision-making capabilities using state-of-the-art libraries and frameworks. Key Responsibilities: Design, develop, and deploy autonomous AI agents for real-world task automation, decision-making, and orchestration. Integrate and fine-tune LLMs (Large Language Models) for goal-oriented, tool-using agents. Implement memory-augmented reasoning, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent coordination . Apply Agentic AI approaches to enable adaptive decision-making, dynamic planning, and autonomous tool usage. Work with vector databases to store and retrieve contextual memory and knowledge. Optimize agent performance using Reinforcement Learning frameworks and human feedback. Collaborate with cross-functional teams to integrate AI agents into applications and services. Monitor, test, and maintain AI pipelines in production environments. Required Skills & Experience: Strong programming skills in Python (C# or R is a plus). Proven experience in building and deploying AI agents or LLM-based applications . Hands-on expertise in: AI Agent Frameworks: LangChain, AutoGPT, BabyAGI, CrewAI, AgentGPT Agentic AI Concepts: reasoning loops, dynamic tool selection, adaptive workflows LLMs & Generative AI: OpenAI (GPT-3.5/4), Hugging Face Transformers, Anthropic Claude, Cohere RAG & Vector Search: Pinecone, FAISS, ChromaDB, Weaviate for context-aware generation Reinforcement Learning: OpenAI Gym, Stable-Baselines3, Ray RLlib NLP & Language Tools: spaCy, NLTK, TextBlob Modeling & Deployment: TensorFlow, PyTorch, Keras, Scikit-learn, MLflow APIs & UI Frameworks: Flask, FastAPI, Streamlit, Gradio DevOps: Docker, Git, CI/CD workflows, Kubernetes, Terraform

About the Role: We are seeking a highly motivated and technically proficient AI Agent Development Engineer to join our advanced AI team. In this role, you will design, build, and deploy intelligent, autonomous AI agents that leverage Generative AI, Reinforcement Learning, Retrieval-Augmented Generation (RAG), and Agentic AI principles to perform complex, dynamic tasks across diverse domains. You will work at the forefront of AI agent architecture , integrating reasoning, memory, tool usage, and multi-step decision-making capabilities using state-of-the-art libraries and frameworks. Key Responsibilities: Design, develop, and deploy autonomous AI agents for real-world task automation, decision-making, and orchestration. Integrate and fine-tune LLMs (Large Language Models) for goal-oriented, tool-using agents. Implement memory-augmented reasoning, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent coordination . Apply Agentic AI approaches to enable adaptive decision-making, dynamic planning, and autonomous tool usage. Work with vector databases to store and retrieve contextual memory and knowledge. Optimize agent performance using Reinforcement Learning frameworks and human feedback. Collaborate with cross-functional teams to integrate AI agents into applications and services. Monitor, test, and maintain AI pipelines in production environments. Required Skills & Experience: Strong programming skills in Python (C# or R is a plus). Proven experience in building and deploying AI agents or LLM-based applications . Hands-on expertise in: AI Agent Frameworks: LangChain, AutoGPT, BabyAGI, CrewAI, AgentGPT Agentic AI Concepts: reasoning loops, dynamic tool selection, adaptive workflows LLMs & Generative AI: OpenAI (GPT-3.5/4), Hugging Face Transformers, Anthropic Claude, Cohere RAG & Vector Search: Pinecone, FAISS, ChromaDB, Weaviate for context-aware generation Reinforcement Learning: OpenAI Gym, Stable-Baselines3, Ray RLlib NLP & Language Tools: spaCy, NLTK, TextBlob Modeling & Deployment: TensorFlow, PyTorch, Keras, Scikit-learn, MLflow APIs & UI Frameworks: Flask, FastAPI, Streamlit, Gradio DevOps: Docker, Git, CI/CD workflows, Kubernetes, Terraform