LS
Look4IT Sp. z o. o. (KRAZ: 7880)
GenAI Solution Architect
Wrocław, PLNa miejscuUmowaPełny etat
Opublikowano 1 wrz 2026
This is a remote position.
We are seeking an experienced GenAI Architect to join a fast-moving product team building next-generation AI-powered applications. You will own the design and implementation of agentic AI systems, working hands-on with the development team to bring intelligent, production-grade solutions to life.This is a senior, hands-on architectural role. You will not just design - you will build alongside the team, shaping the technical direction of our GenAI platform. You'll work within an agile development squad, driving decisions on AI orchestration, agent design, and integration patterns.
WHAT YOU'LL BE DOING:
- Designing and iterating on multi-agent AI architectures using LangGraph and LangChain
- Defining integration standards for MCP servers and agent communication protocols
- Collaborating daily with senior and junior engineers to implement and review AI components
- Advising on prompt engineering strategy, tool use design, and agent reliability
- Contributing 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
Przegląd stanowiska
Typ stanowiska
Pełny etat
Wymagane umiejętności
LangChainLangGraphLangSmithModel Context Protocol (MCP) integrationsAgent-to-Agent (A2A) architectures and multi-agent workflowsAgent design (agentic AI systems)AI orchestration and integration patternsPrompt engineering strategyProduction-grade AI system implementation and deploymentDesigning integration standards and agent communication protocolsCross-functional collaboration and mentorship (working with senior and junior engineers, code review)Strong communication for technical and non-technical stakeholdersTechnical documentation and architectural decision recordsTwilio APIs and voice/AI integration patternsEnglish proficiency (B2 level or above)
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