Backend Engineer - ML Platform
On-siteTel Aviv, Tel Aviv, Israel
Job Summary
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units. Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management. Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring while identifying and fixing reliability, scalability, and performance gaps. Evaluate and choose the right tools and technologies based on workload demands and performance requirements. Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals. Full-time role requiring 3+ years of software engineering experience in Python and major cloud platforms.
Required Qualifications
- 3+ years of software engineering experience, with a strong record of delivering high-scale, production-grade systems
- Strong proficiency in Python
- Hands-on experience with relational and NoSQL databases, and at least one major cloud platform (AWS, Azure, or GCP)
- Experience with training, testing, deploying, and monitoring real-time or near real-time ML models in production
- Fluent with AI-powered development tools like Cursor and Claude Code, and genuinely curious about what's next in GenAI, LLMs, and AI agents
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field
- Ready to work in an office environment most days of the week
Desired Qualifications
- Familiarity with AI concepts like RAG, embeddings, mixture-of-experts, prompt crafting, and LLM context engineering - an advantage
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