AI/ML Engineer - Agentic Flows
Cyncly (company site, opens in a new tab)2–3 yrsKochiOn-siteDirect career pageEst. 12–18 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Build multi-step, agent-driven interfaces that make complex product design workflows easier to learn and use.
- Own UI integration with LLMs, APIs and agent orchestration, including context/state management and real-time chat, copilot, search and suggestion experiences.
- Improve the performance and usability of AI-powered flows; contribute to AI-native UI standards and tool-use guidelines, and inform product strategy through effectiveness and ROI insights.
Minimum Requirements
- Work Experience Required: 2–3 years developing AI-based solutions, including 1+ year working with LLMs; AI/ML and agentic experience is required.
- Bachelor’s or master’s degree in Computer Science, AI, Machine Learning or a related field.
- Experience with chat-based or AI-assisted interfaces and Agent UI Protocols, including JSON-based UI rendering; exposure to an agentic framework such as LangGraph, LangChain, AutoGen or Semantic Kernel.
- Knowledge of prompt design, tool/function calling, event-driven architecture and persistent agent state; familiarity with MCP, multi-agent interactions, RAG/text mining and Agent-to-Agent protocols. Role is hybrid in Kochi or Bangalore, India.
Ideal Candidate Profile
- Has hands-on experience connecting LLMs and agent orchestration to interactive frontend workflows, rather than working only on models or backend agents.
- Can translate complex agent logic and context into clear, responsive user journeys, including real-time copilots and guided design experiences.
- Fits a product-engineering environment where the role spans implementation, AI interaction standards and evidence-based recommendations on tools and effectiveness.