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Open nowFirst seen 6 days ago

Senior AI Engineer

Alice49 open roles

Where
Ramat Gan, IL
Work mode
Hybrid
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Your applicationOpen nowSenior AI EngineerAlice · Ramat Gan, IL

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Alice postings stay open a median of 3 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: first seen 6 days ago

Alice median: 3 days open

The posting

Alice's RL Environments team builds adversarial environments that the world's leading AI labs use to test and train their most capable agents. Each environment is a working replica of a real system with an attack planted inside it. A verifier decides whether the agent held up.

The environments run on AgenticVerse, our platform for building and running RL environments at scale. A large and fast-growing community of researchers works on it every day.

We're looking for a Senior AI Engineer to own those environments and the evaluation that decides which tasks are good enough to train a frontier model.

What you'll do

RL environments

  • Build RL environments end to end: the replica systems, the planted attack, and the verifier that grades the run
  • Own environment and verifier design for tool-use, web, and computer-use agents
  • Make environments airtight: sandboxed, free of eval-awareness cues, and closed to reward hacking
  • Read rollout traces, find where the agent took a shortcut, and close it

Task evaluation

  • Own Alice's proprietary task evaluator, the engine that decides whether a task is ready for a frontier lab
  • Make it the industry's sharpest quality bar for RL tasks: realism, threat-model accuracy, and training value
  • Keep it learning: every customer review and every post-training run makes it stricter

Run infrastructure

  • Scale the run pipeline: queue-driven runners on Kubernetes, per-run sandboxes, and a grader the agent can't reach
  • Package environments so they drop into customer training and evaluation pipelines

Working with Research

  • Work with researchers as one team, from a task idea to an environment that's ready to train on
  • Turn what post-training runs reveal into fixes in the environments
  • Review designs and code, and raise the engineering bar for the people around you

Requirements

What we're looking for

  • 6+ years as a backend engineer, building production systems
  • BSc in Computer Science or a related field, preferably from a leading university
  • Strong Python, and production experience with Docker, Kubernetes, and cloud infrastructure (AWS preferred)
  • Experience designing distributed systems and message queues
  • A track record of owning systems from design to production
  • High autonomy in an undefined space. You take a loose problem and come back with working code
  • Fluent written and spoken English

Advantage

  • Academic background in AI or machine learning: a degree, thesis, or research
  • Hands-on AI engineering: building with LLMs, agents, or evaluations
  • Exposure to post-training: RL fine-tuning, reward design, or rollout analysis
  • Background in security, red teaming, or trust and safety

About Alice

Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines.

In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms.

If you're creative and driven to secure the future of AI, we want to hear from you!

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