2 дня назад
Applied AI Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Engineer (AI/Python/TypeScript): Building customer-facing AI workflows, model integrations, and production solutions with an accent on retrieval-augmented generation, vector databases, and prompt evaluation. Focus on implementing multi-agent systems, translating complex business domains into real-time applications, and connecting AI logic with deterministic building blocks.
Location: Tel Aviv-Yafo, Tel Aviv District, Israel
Company
is an AI-first startup helping large enterprises build and deploy LLM-powered applications by combining product-company speed with consultancy flexibility.
What you will do
- Translate customer business problems into AI-driven solutions with internal teams and customers.
- Implement AI workflows and configure model behavior for customer solutions.
- Build integrations between AI logic and deterministic building blocks.
- Deliver production solutions using Python, TypeScript, or similar technologies.
- Collaborate with platform and research teams to identify platform-level improvements.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in software engineering, data science, machine learning, or research, including relevant academic experience.
- Experience building and delivering production solutions to customers using Python, TypeScript, or similar.
- Experience building structured and unstructured data pipelines, including vector databases and retrieval-augmented generation architectures.
- Experience with prompt design, evaluation, and iteration workflows.
- Ability to quickly understand complex domains and read and implement research papers.
- Comfort working with real-time applications and production systems.
Nice to have
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems with frameworks such as LangGraph, CrewAI, or Google ADK, using patterns including ReAct, self-reflection, and hierarchical delegation.
- Knowledge of LLM-native metrics, state-management optimization, and granular tracing.
- Background in data pipelines, APIs, or system integrations.
- Experience working with enterprise or B2B customers.
- Experience in fast-paced startup environments.
Culture & Benefits
- Ownership from day one, with responsibility for driving decisions and shaping ideas.
- Close collaboration with founders and VPs in a rapidly changing AI environment.
- Opportunity to build new AI products and systems.
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