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About the role

  • 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
  • Background in enterprise AI platform architecture

Benefits

  • Work from anywhere in the world
  • Opportunity to design and implement AI systems
  • Work within an agile development squad

Job title

Job type

Contract

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

RemoteWorldwide

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