Dice is the leading career destination for tech experts at every stage of their careers. Our client, MRoads, is seeking the following. Apply via Dice today
We are seeking an innovative AI Agentic Developer to design, develop, and optimize intelligent AI agents that automate workflows, decision-making, and business processes.
The ideal candidate has hands-on experience building AI-driven automation, agent-based systems, and orchestrated flows using LLMs, APIs, and event-driven architectures.
This role requires strong problem-solving skills and the ability to translate business processes into autonomous, scalable AI solutions.
Design and develop AI agents capable of autonomous reasoning, planning, and execution across complex workflows
Build AI-based automation flows using agentic frameworks, orchestration tools, and workflow engines
Integrate LLMs (GPT, Claude, Gemini, etc.) into enterprise automation pipelines
Implement multi-agent systems for task delegation, collaboration, and decision-making
Develop and maintain event-driven and API-based flows connecting AI agents with enterprise systems
Optimize prompts, tools, and memory mechanisms for agent performance and reliability
Implement human-in-the-loop workflows for validation, approvals, and exception handling
Ensure scalability, security, and observability of AI-driven automation systems
Collaborate with product, UX, and engineering teams to translate business requirements into AI flows
Document agent behaviors, workflows, and integration patterns
Required Skills & Qualifications
5+ years of experience in AI-based automation, intelligent workflows, or agentic systems
Strong hands-on experience with LLMs and prompt engineering
Experience building agent-based architectures and autonomous workflows
Proficiency in Python or JavaScript/TypeScript
Experience with workflow orchestration tools (e.g., LangGraph, Temporal, Airflow, Prefect, n8n, Zapier, or similar)
Strong experience with REST APIs, Webhooks, and event-driven systems
Knowledge of state management, memory, and tool usage in AI agents
Familiarity with vector databases (Pinecone, FAISS, Weaviate, Chroma)
Understanding of AI observability, logging, and monitoring
Strong analytical and problem-solving skills
Mid-Senior level
Full-time
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