12 дней назад
Senior Software Engineer, AI Agents
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, AI Agents (AI/MCP/A2A): Building production-grade agent communication systems, MCP integrations, and multi-step agentic workflows for enterprise customer experience technology with an accent on distributed systems, reliability, observability, and scalable automation. Focus on designing agent architectures, improving latency and cost, and operating non-deterministic AI systems in production.
Location: Virtual Office (Portugal)
Company
develops AI-powered experience orchestration technology connecting people, systems, data, and AI for customer and employee experiences.
What you will do
- Design and build agent-to-agent communication systems for autonomous agents collaborating on shared tasks.
- Build and maintain Model Context Protocol servers and clients connecting agents with tools, data sources, and external systems.
- Architect reliable agentic workflows combining reasoning, tool use, and decision-making.
- Own agent features across design, implementation, evaluation, deployment, and monitoring.
- Partner with product and engineering teams to translate customer experience and workflow automation needs into agent architectures.
- Improve reliability, latency, and cost while contributing to internal frameworks and tooling for building and testing agents.
Requirements
- 5–6 years of professional software engineering experience and a record of shipping production systems.
- Hands-on experience with LLMs and agent frameworks, plus practical experience with MCP and/or A2A or strong familiarity with the underlying concepts.
- Strong systems design skills covering state, concurrency, failure modes, and observability in distributed, non-deterministic systems.
- Proficiency in TypeScript/Node or Java.
- Experience with API design, integrations, and tool-calling patterns.
- Excellent communication skills and comfort working in an evolving technical domain.
Nice to have
- Experience with vector databases, RAG pipelines, or LLM output evaluation frameworks.
- Open-source contributions to agent or protocol projects.
- Background in contact centers, customer experience platforms, or enterprise integration.
- Experience with prompt engineering and context management at scale.
Culture & Benefits
- Work on AI-powered technology used by more than 8,000 organizations worldwide.
- Flexible ways of working within a global organization.
- Mentorship, learning programs, leadership development, and education support.
- Paid volunteer time, August Free Fridays, well-being resources, and regionally tailored employee and family programs.
Hiring process
- Application review by Talent Acquisition and the hiring team.
- Zoom interview followed by meetings with the hiring manager and interview team.
- Most processes include no more than five interviews before final steps.
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