Related skills
microservices apis llms rag workato📋 Description
- Implement agent-based AI solutions on Workato Agentic AI platform.
- Build autonomous AI workflows with multi-agent orchestration.
- Deploy RAG systems using Workato Agentic AI for real-time LLM responses.
- Develop prompting, memory management, and behavior planning for LLMs and agents.
- Troubleshoot and design AI-driven architectures, scalable RAG pipelines, and agent frameworks.
- Develop scalable AI-powered IT workflows with agent decisions and dynamic retrieval.
🎯 Requirements
- BTech/BE or higher in CS/AI/ML or related field.
- 4+ years in AI/ML design and delivery; at least 1 year on Workato.
- Proven AI engineering experience with agent-based systems.
- Strong API skills: RESTful and SOAP/XML; JSON; databases (RDBMS/NoSQL).
- Experience with integration platforms (Workato, MuleSoft, Dell Boomi, etc.) and cloud iPaaS.
- Proficiency in Java, Python, or Ruby; solid understanding of microservices.
🎁 Benefits
- Vibrant, dynamic work environment.
- Flexible, trust-oriented culture with ownership.
- Comprehensive employee benefits.
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