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Senior AI Software Engineer
HíbridoTiempo completoAI EngineeringEnterprise SoftwareFraud PreventionIdentity Management
Join an AI engineering team building reusable AI capabilities, agent infrastructure, evaluation systems, guardrails, and RAG solutions for internal and customer-facing products. The role is based in Tel Aviv with a hybrid work model.
Responsabilidades
- Design, build, and maintain reusable AI models, tools, APIs, and platforms
- Develop and maintain an internal MCP server that securely exposes company data to AI agents
- Create evaluation frameworks and AI guardrails for model reliability, performance, and safety
- Build and optimize retrieval-augmented generation systems
- Establish sustainable AI engineering practices and expertise
- Own projects from requirements gathering through development, deployment, and operation
- Advise internal teams and promote adoption of AI engineering platforms and tools
- Partner with cross-functional teams to accelerate AI adoption and productization
Requisitos
- At least 5 years of backend or server-side software development experience building complex, highly scalable systems
- Proficiency in at least one general-purpose programming language; Python is preferred
- Strong understanding of generative AI, large language models, and foundation models
- Hands-on experience building AI-driven workflows, agentic systems, evaluation frameworks, RAG systems, or MCP servers
- Experience with public cloud platforms such as AWS, GCP, or Azure
- Some DevOps experience and willingness to develop, deploy, and operate projects end to end
- Ability to gather and refine requirements from non-technical internal users
- Fluent written and spoken English
Se valora
- Experience with AI infrastructure
- Experience with AI coding tools such as Claude Code, GitHub Copilot, or Cursor
- Experience with agentic frameworks, model evaluations, RAG systems, MCPs, or AI skills
Beneficios
- Hybrid work with at least three office days per week for team members near company hubs
- RSU offerings
- Learning and development programs focused on AI tools
- 4.5-day work weeks and employee recognition programs
- Team outings and local cultural events