GenAI Architect contributing to AI-powered applications through design and implementation in an agile team. Own the architecture for agentic AI systems and collaborate with diverse engineers.
Responsibilities
Owned the design and implementation of agentic AI systems
Worked hands-on with the development team to bring intelligent, production-grade solutions to life
Designed and iterated on multi-agent AI architectures using LangGraph and LangChain
Defined integration standards for MCP servers and agent communication protocols
Collaborated daily with engineers to implement and review AI components
Advised on prompt engineering strategy, tool use design, and agent reliability
Contributed to technical documentation and architectural decision records
Requirements
Proven experience with LangChain, LangGraph, and LangSmith - design, development, and production deployment
Hands-on experience implementing Model Context Protocol (MCP) integrations
Experience building Agent-to-Agent (A2A) architectures and multi-agent workflows
Ability to work closely and collaboratively within a cross-functional development team
Strong communication skills - able to translate complex AI concepts for technical and non-technical stakeholders
English proficiency at B2 level or above
NICE TO HAVE: Experience with telephony and call centre application development
Familiarity with Twilio APIs and voice/AI integration patterns
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