Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Professional Services Engineer (LLM/Agentic AI): Building customer-specific AI agents, production RAG pipelines, automated evaluation suites, and durable platform capabilities for enterprise customers with an accent on backend engineering, distributed systems, and agent interoperability. Focus on designing agentic architectures, optimizing context and tool calling, and delivering stable production systems in complex customer environments.
Location: Bnei Brak, Israel
Company
hirify.global is a global software company building AI-powered digital experiences that combine conversational AI, rich media, enterprise knowledge, and data.
What you will do
Own technical delivery for priority enterprise customers from discovery and prototyping through stable production.
Build customer-specific production skills, AI applications, and agent workflows within a professional services engineering pod.
Develop automated evaluation suites using ground-truth scenarios, golden datasets, and regression testing for semantic correctness, tool-call fidelity, and behavioral stability.
Implement observability and continuous measurement and tuning for AI systems.
Turn broadly useful customer capabilities into durable platform primitives.
Requirements
2+ years of production software engineering experience, including hands-on development of backend services, distributed systems, and APIs using Python, TypeScript/Node.js, or Go.
Ability to personally write, review, and ship production code.
Direct experience building and deploying production LLM and agentic AI systems, including stateful agent workflows, tool or function calling, structured outputs, context-window optimization, and production RAG pipelines with hybrid search, semantic chunking, and re-ranking.
Experience acting as a technical lead with external engineering teams, such as a Forward-Deployed Engineer, Solutions Engineer with production code ownership, or founding engineer.
Ability to conduct architecture reviews and design agentic systems.
Ability to enter complex, unfamiliar enterprise environments, extract technical requirements from ambiguous business problems, and rapidly design working systems.
Nice to have
Hands-on experience authoring or consuming Model Context Protocol servers and clients.
Speech-pipeline experience with ASR domain vocabulary biasing and TTS pronunciation tuning.
Experience designing multi-tenant architectures with strict tenant isolation and prevention of cross-tenant context leakage.
Culture & Benefits
Work in a fast-paced environment that values openness, flexibility, collaboration, initiative, and individual impact.
Join a global team of 600+ employees with offices in New York, London, Singapore, and Tel Aviv.
Opportunity to build, challenge, and improve AI-powered digital experiences used by more than 1,000 organizations and over 100 million users.
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