AI Lead - Agentic Flows

Cyncly; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Cyncly is looking for a candidate in Bengaluru with over 8 years of experience in developing AI-based solutions and a minimum of 4 years of working with large language models (LLMs). The successful applicant will be responsible for designing frontend agentic workflows, overseeing UI development, and ensuring the performance of AI-powered interfaces. This role requires experience with event-driven architectures and knowledge of agentic frameworks like LangGraph. Strong leadership and clear communication skills are essential.

Qualifications

• 8+ years in developing AI-based solutions, 4+ years with LLMs.
• Experience with agentic frameworks like LangGraph and LangChain.
• Knowledge of event-driven architecture and persistent state management.

Responsibilities

• Design and implement agentic workflows in the frontend.
• Oversee development of UI components that interact with LLMs.
• Ensure performance and scalability of AI-powered UI flows.

Skills

AI-based solutions development

LLMs use (OpenAI, Anthropic)

AI-assisted interfaces

Agentic frameworks (LangGraph, LangChain)

Prompt design

Event-driven architecture

RAG-based solutions

Agent-to-Agent protocols

Job description

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 to LLMs to provide decision support.
• Translate complex backend agent logic to clear, user-friendly interfaces.
• Implement real-time interactions (chat interfaces, copilots, 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 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.