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Cyncly

AI Lead - Agentic Flows

Reposted Yesterday
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In-Office or Remote
Hiring Remotely in India
Senior level
In-Office or Remote
Hiring Remotely in India
Senior level
The role focuses on designing AI-driven workflows, developing user-friendly interfaces for complex backend logic, and enhancing UI/UX with real-time interactions and performance optimizations.
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Job Title: AI Lead - Agentic Flows
Location: Kochi or Bangalore, India (Hybrid)
Permanent - Full Time

About Us
Cyncly is a global technology powerhouse with 2,400+ employees and 70,000+ customers across 100+ countries. Cyncly transforms the way customizable products and spaces are imagined, designed, sold, managed and made. Our end-to-end software solutions connect professional designers, retailers and manufacturers to the world's largest repository of product content. Today, our business spans across the Kitchen & Bath, Furniture, Window, Glass & Door, and Flooring industries with operations in North & South America, Europe, Asia Pacific and Africa.

Cyncly brings over 30 years of experience to deliver more value for our customers through an expanded portfolio of end-to-end solutions. Our global presence allows us to provide world-class support and sales with a local touch, providing the best possible customer experience.

Cyncly is now embarking on an exciting journey as we continue to expand through strong organic growth and complementary acquisitions, backed by leading growth private equity firms specializing in technology.

Cyncly & The Power of AI
At Cyncly, we believe in unlocking the power of AI to deliver highly personalized and extraordinary experiences for our customers and their clients. We are on a dynamic journey of seeking exceptional talent to add critical AI models and functionality to our products used by over 17,000 customers worldwide. This is opportunity to be a part of a collaborative team that fosters continuous learning and growth, where you'll work on exciting data driven projects that redefine the Spaces for Living industry. AI is reshaping private and business life at an unprecedented speed, and Cyncly is committed to leading the charge in delivering new sources of value for our customers.

About the Role
We are seeking an AI Champion to build agentic front ends for our products. Most of our products currently offer UI based interaction to our customers. Given the complexity involved in the flows, traditional UI based interaction needs training for users before they can develop desired proficiency in the product. We want to build NLP based interactive UIs where AI agents make flows not only easier to learn but also provide suggestive inputs to aid design process. This role will attempt at revolutionizing UI/UX for our customers by offering them a guided flow and thereby eliminating learning curve needed for understanding complex design process.

Key Position Responsibilities Include:

  • Design and implement agentic workflows in the frontend (multi-step AI-driven user journeys).
  • Oversee development of UI components that interact with LLMs, APIs and agent orchestration layer.
  • Handle state management to ensure proper context is available LLMs to provide decision support.
  • Translate complex backend agent logic to clear, user-friendly interfaces.
  • Implement real-time interactions (chat interfaces, copilots (AI based kitchen designing), suggestions, searches etc.).
  • Ensure performance, scalability, and responsiveness of AI-powered UI flows.
  • Contribute to design systems that support AI-native UX patterns.

Required Experience and Qualifications:

  • Overall 8+ years of experience in developing AI based solutions with 4+ years of experience in working with LLMs (openAI, Anthropic etc).
  • Exposure to agentic frameworks (LangGraph, LangChain, AutoGen, Semantic Kernel, etc.).
  • Experience in building chat-based or AI-assisted interfaces and Agent UI Protocols including JSON based UI rendering.
  • Understanding of prompt design and AI interaction patterns.
  • Knowledge of event-driven architecture and persistent state management in agentic loops.
  • Familiarity with tool calling / function calling paradigms.
  • Familiarity with setting up MCP and multi-agent interactions.
  • Knowledge of RAG based solutions and text-mining to find insights from chat histories.
  • Hands-on experience with Agent-to-Agent protocols and communication patterns.

Core Competencies: 

  • Define standards and guidelines for appropriate AI tool usage for building agentic flows.
  • Stay current with emerging AI tools and capabilities relevant for building real-time agentic interactions.
  • Work with engineering/product leadership to develop strategy and roadmap.
  • Monitor tool effectiveness and ROI, providing data-driven recommendations for tool selection and renewal.

Soft Skills:

  • Experience in leading teams building AI/ML embedded products.
  • Ability to work in ambiguous, fast-evolving AI spaces.
  • Clear communication with cross-functional teams.
  • Curiosity about emerging AI/agent paradigms.

Working for Us
At Cyncly, we call our team OneCyncly, a reflection of how we work together as one, united by our purpose: powering businesses that bring spaces to life. Our strength comes from our diversity of experiences, perspectives, and skills - and we thrive when we work together with openness, trust, and respect.
Here, you’ll join a group of colleagues who take ownership, solve problems, and focus on making an impact. We embrace curiosity, welcome new ideas, and see mistakes as opportunities to learn. You’ll have the freedom to work flexibly and autonomously, supported by teammates and leaders who are committed to your growth.
We celebrate the different ways people contribute and encourage everyone - from every background - to bring their authentic self to work. Because when we collaborate, challenge each other, and share what we know, we build something better together.
If you want to work in a place where your ideas matter, your growth is valued, and your work shapes the spaces people live, work, and play in - Come join us.

Top Skills

Agent-To-Agent Protocols
Autogen
Event-Driven Architecture
JSON
Langchain
Langgraph
Llms
Nlp
Semantic Kernel

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