обновлено 1 день назад
Senior Engineering Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineering Manager (AI): Leading a software engineering team while building scalable backend microservices and agentic AI systems with an accent on architecture, Python, Java, React, and large-scale databases. Focus on designing autonomous agents, evaluating their safety and reliability, and balancing hands-on engineering with technical leadership, delivery oversight, and talent development.
Location: Yokneam Illit, Israel
Company
is a consumer intelligence company delivering retail and consumer insights through advanced analytics and technology platforms across more than 100 markets.
What you will do
- Lead a high-performing software engineering team within the Activate R&D organization.
- Design, develop, and deploy scalable microservices from architecture through production.
- Lead backend system design and implementation using secure, maintainable approaches.
- Build and maintain containerized API services, including development, testing strategy, operations, and deployment.
- Own the end-to-end lifecycle of product features and components while ensuring performance, uptime, scalability, and code quality.
- Make technical decisions, influence system architecture and development practices, and collaborate with a small cross-functional team.
Requirements
- Bachelor’s degree in computer science or an equivalent qualification.
- 12+ years of backend development experience, including at least 4 years of team management.
- At least 3 years of Python experience and strong experience with React.
- Knowledge of server-side technologies including Java, Spring Boot, SQL, and agentic AI.
- Experience with large-scale SQL and NoSQL databases, including SingleStore and PostgreSQL, and relational databases.
- Fluent English and strong problem-solving and analytical abilities.
Nice to have
- Experience building agentic AI systems or autonomous agents, including AutoGen, LangChain, CrewAI, or similar frameworks.
- Knowledge of ReAct, Chain-of-Thought, tool use, function calling, and agent evaluation and testing.
- Experience with Docker, Kubernetes, Azure, GCP, Azure OpenAI Service, or Azure AI services.
- Experience with Agile Development, sprint planning, or Extreme Programming methodologies.
Culture & Benefits
- Open, collaborative, and innovation-driven working environment.
- Flexible working environment.
- Volunteer time off.
- LinkedIn Learning access.
- Employee Assistance Program.
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