2 дня назад
Backend Engineer with AI Experience
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer with AI Experience (AI/Python): Building a company-wide AI platform with an accent on agent runtimes, tool and data layers, model gateways, and evaluation infrastructure. Focus on designing secure agent architectures, integrating LLM-powered workflows, and improving reliability, quality, cost, and latency in production systems.
Location: Tel Aviv-Yafo, Israel; hybrid work with regular in-office collaboration
Company
provides digital intelligence data and solutions that help businesses understand online activity and make strategic decisions.
What you will do
- Design and build the core agent platform, including runtime, orchestration, state and memory management, and a shared agent SDK.
- Build and operate tool and connector layers, including MCP servers for data, internal systems, and third-party services.
- Develop LLM-based agents for internal workflows and convert reusable solutions into platform capabilities.
- Implement integrations that enable agents to take automated actions on behalf of users.
- Establish secure-by-default patterns for permissions, data access, PII handling, prompt-injection defense, and audit logging.
- Evaluate and improve AI model and agent performance to deliver reliable, data-driven results.
Requirements
- At least 5 years of software engineering experience.
- Strong Python proficiency.
- Hands-on experience with LangGraph, LangChain, or similar AI-agent frameworks.
- Strong understanding of LLMs, prompt engineering, and AI-agent architectures.
- Experience with REST APIs, asynchronous services, external data integrations, containers, and CI/CD.
- Strong collaboration and communication skills with technical and non-technical stakeholders.
Nice to have
- Experience with LLM providers, vector stores, MCPs, LLM evaluation, and observability tools.
- LLMOps experience, including cost and latency optimization, semantic caching, model routing, and capacity planning.
- Experience designing RAG systems over large or heterogeneous data sources.
- Knowledge of AI security and safety, cloud environments, AWS, Kubernetes, and infrastructure as code.
Culture & Benefits
- Partial work-from-home flexibility alongside in-office collaboration.
- Competitive compensation and employee benefits.
- Team outings, happy hours, and an emphasis on community.
- Career development through coaching, learning programs, and opportunities for internal growth.
- Inclusive culture focused on equality, mutual respect, and diverse perspectives.
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