Senior AI Engineer

Description

Above Security - Tel Aviv (5 days in office)

Above is building the AI-native insider risk platform for the modern enterprise - where humans and AI agents operate together inside security-critical systems.

We're backed by tier-1 global VCs, led by second-time founders, and already deployed with organizations operating at serious scale. AI is not a feature here - it's the system.

We're hiring a Senior AI Engineer to design, fine-tune, and operate AI agents and large-scale models in production. This role exists because off-the-shelf models aren't enough for the problems we're solving.

If you enjoy pushing models until they break - and then fixing them - keep reading.

What you'll do

• Design and operate AI agents that reason, act, and collaborate with humans
• Fine-tune and adapt large language models for:
• Behavior analysis
• Reasoning over long, messy timelines
• High-precision enterprise workflows
• Build agent orchestration systems (tool use, memory, planning, feedback loops)
• Run large-scale inference and training pipelines in production
• Work on model evaluation, drift detection, and continuous improvement
• Optimize for latency, cost, and reliability at real enterprise scale
• Partner closely with DevOps, security, and backend engineers - no research silos
• Ship models that are auditable, explainable, and safe in sensitive environments

Hard requirements (non-negotiable)

• 5+ years in ML / AI / Applied Research roles
• Hands-on experience fine-tuning large models (LLMs or multimodal)
• Deep familiarity with agent architectures (tool use, memory, planning, reflection)
• Real production experience
• Heavy, daily usage of AI coding tools (Claude, Codex, Cursor, etc. - this is how we work)
• Experience operating models at scale (high throughput, real traffic)
• Comfortable working 5 days a week from our Tel Aviv office

Strong signals you're a fit

• You've shipped agent systems that run unattended in production
• You've fine-tuned models for precision, not just demos
• You think about evaluation frameworks as much as training
• You care about failure modes, hallucinations, and abuse cases
• You prefer impact over papers

Nice to have (but not required)

• Experience with RLHF / RLAIF / preference optimization
• Background in security, fraud, or behavioral systems
• Experience with multi-agent systems or long-running agents
• Prior startup experience where scale arrived faster than expected

Why Above

• You'll work on real agent systems, not wrappers around APIs
• Problems are messy, adversarial, and high-stakes - perfect for AI
• Tier-1 funding, serious customers, real scale
• Second-time founders who ship
• Office-first culture focused on velocity and ownership