7 дней назад
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
AI Engineer (LangGraph/Agentic AI): Building and operationalizing AI agent systems for digital forensic investigations with an accent on LLM integration, forensic tool calling, and production-grade deployment. Focus on designing hybrid LLM and deterministic layers, creating evaluation and regression frameworks, and improving retrieval quality through RAG pipelines, vector databases, and embeddings.
Location: Israel - Petah Tikva
Company
develops AI-powered digital investigation and forensic solutions for public safety organizations, intelligence agencies, and businesses.
What you will do
- Design and maintain a LangGraph-based agent harness for online and offline/on-premises deployment.
- Combine hybrid LLM and deterministic layers to balance speed, memory usage, and costs.
- Own datasets, benchmarking frameworks, and automated regression testing across the AI evaluation lifecycle.
- Standardize tool-calling interfaces for forensic engines.
- Collaborate with researchers to operationalize AI models in production products.
- Build prototypes and production-grade systems with strong design, telemetry, and feedback loops.
Requirements
- Bachelor’s degree in computer science or an engineering-related field.
- 6+ years of software development experience.
- Professional Python development experience.
- Experience with agent orchestration frameworks such as LangGraph, agentic AI architecture, MCP, and A2A.
- Strong understanding of RAG pipelines, vector databases, embeddings, and retrieval techniques including chunking, indexing, filtering, and relevance tuning.
- Experience with AI evaluation frameworks, prompt testing, or offline and online quality measurement.
Nice to have
- Enterprise-scale application development in a SaaS environment.
- Observability design across infrastructure and AI workloads, including metrics, logging, tracing, and AI quality signals.
- Experience with an object-oriented programming language.
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