דרושים » תוכנה » Senior AI Engineer - Agentic Systems

Alice’s Innovation team builds adversarial RL environments that train the world’s most advanced AI models to be safer. Our customers are the leading frontier AI labs, who use these environments for post-training reinforcement learning and safety evaluation. This is the bleeding edge of AI safety technology: the environments you build will directly shape how next-generation models learn to resist adversarial attacks. We’re looking for an AI Software Engineer to own the RL Gym platform end-to-end: from architecting multi-site web environments that simulate real-world attack surfaces, to optimizing our in-house orchestration harness (AgenticVerse) for high-performance delivery into customer training pipelines. This is a builder role. You’ll lead a small team (including a dedicated web environments engineer), operating with high autonomy, moving fast from concept to working prototype to production system. You’ll interact directly with customer engineering teams to understand their infrastructure constraints and deliver environments that meet their scale and reliability requirements. Why this role This is one of the few roles in the industry where your code directly influences how the next generation of AI models are trained. You’ll be at the center of advancing AI safety, building systems that the world’s top labs depend on to make their models more robust. The work is technically deep, the problem space is genuinely novel, and the field is moving faster than any team can keep up with alone. There’s no playbook. You’ll write it. What you’ll do: Platform & performance
* Own and evolve AgenticVerse, our in-house orchestration harness that provisions and manages RL environments at scale. Focus on performance: low-latency provisioning, high concurrency, minimal overhead per environment instance
* Design and build isolated, reproducible web environments using Firecracker microVMs or Docker containers
* Architect multi-site scenarios (3-4 interconnected web applications per task) with rich interactions: drag-and-drop, file uploads, authentication flows, LLM-in-the-loop components
* Implement deterministic verifiers that evaluate agent behavior with zero ambiguity Customer delivery
* Work directly with engineering teams at leading AI labs to integrate RL Gym environments into their training and evaluation pipelines
* Translate customer specs into working environments, iterating rapidly on feedback
* Own the technical relationship: SLAs, API contracts, integration architecture
* Adapt environment delivery formats to cus tomer infrastructure (real-time API calls vs. offline batch, managed vs. raw artifacts)
* Build customer-facing UIs when needed (dashboards, environment configuration portals, monitoring interfaces) Rapid prototyping
* Take ambiguous problem descriptions and produce working prototypes within days, not weeks
* Validate new environment types, interaction patterns, and verifier approaches quickly
* Build internal tooling that accelerates scenario authoring and testing

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!

Were looking for an AI Software Engineer to own the RL Gym platform end-to-end: from architecting multi-site web environments that simulate real-world attack surfaces, to optimizing our in-house orchestration harness (AgenticVerse) for high-performance delivery into customer training pipelines.
This is a builder role. Youll lead a small team (including a dedicated web environments engineer), operating with high autonomy, moving fast from concept to working prototype to production system. Youll interact directly with customer engineering teams to understand their infrastructure constraints and deliver environments that meet their scale and reliability requirements.
Why this role
This is one of the few roles in the industry where your code directly influences how the next generation of AI models are trained. Youll be at the center of advancing AI safety, building systems that the worlds top labs depend on to make their models more robust. The work is technically deep, the problem space is genuinely novel, and the field is moving faster than any team can keep up with alone. Theres no playbook. Youll write it.
What youll do:
Platform & performance
Own and evolve AgenticVerse, our in-house orchestration harness that provisions and manages RL environments at scale. Focus on performance: low-latency provisioning, high concurrency, minimal overhead per environment instance
Design and build isolated, reproducible web environments using Firecracker microVMs or Docker containers
Architect multi-site scenarios (3-4 interconnected web applications per task) with rich interactions: drag-and-drop, file uploads, authentication flows, LLM-in-the-loop components
Implement deterministic verifiers that evaluate agent behavior with zero ambiguity
Customer delivery
Work directly with engineering teams at leading AI labs to integrate RL Gym environments into their training and evaluation pipelines
Translate customer specs into working environments, iterating rapidly on feedback
Own the technical relationship: SLAs, API contracts, integration architecture
Adapt environment delivery formats to cus tomer infrastructure (real-time API calls vs. offline batch, managed vs. raw artifacts)
Build customer-facing UIs when needed (dashboards, environment configuration portals, monitoring interfaces)
Rapid prototyping
Take ambiguous problem descriptions and produce working prototypes within days, not weeks
Validate new environment types, interaction patterns, and verifier approaches quickly
Build internal tooling that accelerates scenario authoring and testing.

We are looking for a Staff Architect, Data & AI Infra to shape, build, and scale the infrastructure that powers our data, AI, and research platforms. This is a senior player-coach role with broad architectural ownership across data infrastructure, ML infrastructure, developer experience, reproducibility, and production reliability. You will work across the wider engineering group as a hands-on technical architect, while also managing a small team of individual contributors focused on ML infrastructure.

This role is ideal for someone who can move between long-term platform architecture and practical execution: defining standards, building core systems, mentoring engineers, improving reliability, and partnering with Data Engineering, AI/Research, Product Engineering, Security, Bioinformatics, and Leadership to make our data and AI platforms scalable, reproducible, secure, compliant, and easier to use.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Architectural Leadership: Own and evolve the technical roadmap for our data and AI platforms, ensuring scalable and reliable architecture that supports current needs and prepares for a multi-cloud future.
MLOps & Platform Development: Design and build end-to-end MLOps systems-covering experimentation, training, reproducibility, and deployment-while managing specialized infrastructure like BigQuery, orchestration tools (Dagster/Airflow), and R/Python workloads.
Infrastructure Strategy: Define and lead strategy for GPU resources (scheduling, utilization, batch compute) and establish engineering best practices, data architecture standards, and platform guardrails.
Developer Experience: Enhance developer productivity by building self-service platforms, automation, internal tooling, and reusable templates that simplify workflows and reduce operational friction.
Team Leadership: Act as a player-coach to mentor engineers and manage a small team of ICs, fostering a culture of sound decision-making and technical excellence across the broader group.
Security & Reliability: Partner with Security to enforce compliance (SOC2, HIPAA, GDPR) and access controls, while mitigating operational risk through improved observability, incident readiness, and robust support processes.

We are seeking a highly skilled and analytical Senior Data Engineer to join our Data team. In this role, you will design and implement robust data pipelines, while uniquely bridging the gap between engineering and analytics by actively analyzing data to extract actionable insights. You will play a crucial part in architecting our data foundations to support everything from business intelligence to advanced machine learning and agentic AI pipelines.
As a Senior Data Engineer, you will collaborate closely with engineering teams, product managers, and stakeholders across the organization. You will not only build the infrastructure utilizing modern data stack tools but also act as a data analyst when needed, ensuring our systems are fully equipped to operate within and support a cutting-edge agentic AI environment.
Responsibilities
Design, build, and maintain highly scalable ELT/ETL data pipelines.
Architect and manage modern cloud data warehousing solutions.
Develop, maintain, and monitor Python services responsible for robust data collection and ingestion.
Perform hands-on data analysis to interpret complex datasets, identify trends, and deliver business insights, acting in a dual capacity as a Data Analyst.
Develop and optimize data infrastructure specifically designed to support autonomous agentic workflows and LLM integrations.
Collaborate with engineers and analysts to troubleshoot data issues, enforce quality SLAs, and define data requirements.
Document data architecture, flow, and analytics standards for internal team alignment.
Build and maintain dashboards and reports to communicate analytical findings and data health to the organization.
Maintain Kafka consumer applications that process high-volume event streams in real-time, ensuring reliable ingestion into cloud databases.

Were looking for a Founding AI Engineer to build and define the research function at our company from zero. This is a rare opportunity to work on some of the hardest unsolved problems in applied AI and agents, with massive ownership, visibility, and room to grow into leadership quickly.
What Youll Do
Lead the AI domain at our company: Take ownership of our agent architecture and help define its next phases, standards, and direction.
Solve hard, unsolved problems: Work on challenges in AI agents, reasoning over complex systems, and autonomous decision-making that dont yet have clear playbooks.
Build production AI: Design, implement, evaluate, and deploy AI systems used by real customers.
Be outward-facing: Publish technical blogs, benchmarks, and papers; represent our company in the AI and data community.
Move fast with autonomy: Own problems end-to-end with minimal guidance, working directly with founders.
Deliver real customer value end-to-end: take features from idea to production, see them used by customers, and iterate based on real-world impact.

Required Senior Software Engineer, Cloud Security
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Our engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. As an engineer on this team, you will take autonomous ownership of critical infrastructure components that power Chronicle Security Orchestration, Automation and Response (SOAR). Our products are used by GCPs biggest and most important customers, requiring the highest level of Enterprise-grade reliability, performance, and security.
You will not simply implement others' ideas; you will be expected to scope complex operational challenges, recommend comprehensive software-driven solutions, and drive outcomes for your immediate area. You will work closely with cross-functional partners to translate functional and non-functional needs into robust, scalable, and secure architecture, transforming operational challenges into robust, software-driven solutions in close partnership with product development teams.
Responsibilities
Own all aspects of your immediate area, leading the design, building, and maintenance of software and systems that enhance the reliability, availability, and performance of Chronicle SOAR.
Set technical direction and priorities for software tools, platforms, and services that automate complex operational workflows, reduce manual toil, and improve the efficiency of managing Chronicle SOAR at scale.
Develop and manage infrastructure configurations and policies using Go to ensure secure, consistent, and auditable management of GCP resources.
Design and implement sophisticated monitoring, logging, and tracing solutions (Observability/Telemetry).
Mentor other peers and team members throughout the development and rollout process to improve and sustain technical excellence.
Act as a point of contact for cross-functional partners; analyze past incidents and proactively develop software solutions to prevent recurrence. Build automation to accelerate incident detection, diagnosis, and resolution.

We are looking for a Senior Software Engineer to join a high-performing team of engineers shaping the future of cloud security.
This is a unique opportunity to work on a next-generation SaaS platform, tackling complex engineering challenges in distributed systems, scalability, and performance, while collaborating with top engineers, researchers, and product leaders.
If you are passionate about building systems from the ground up, love working with cloud-native technologies, and want to make a real impact - this role is for you.
What You Will Own:
Design and build core backend systems and infrastructure powering Aquas SaaS platform
Develop scalable, multi-tenant microservices in a cloud-native environment
Take full end-to-end ownership - from design and development to production and monitoring
Collaborate with Engineering, Product, and Security Research teams to solve complex cybersecurity challenges
Build and optimize distributed, event-driven systems at scale
Work in a modern CI/CD environment with cutting-edge technologies
Lead and execute PoCs and technology evaluations
Partner with customers and internal stakeholders to deliver impactful solutions
Continuously improve performance, scalability, and reliability

As our QA Engineer, you'll build QA infrastructure that ensures our product meets the highest bar, and youll be the first voice advocating for quality at every stage of development.
About The Role
This is a hands-on, high-impact role. You'll work tightly with developers, product managers, and designers to catch bugs before they ship - and to build the processes and automation that prevent them from appearing in the first place.
You'll design and execute comprehensive test strategies across our platform's most critical workflows, from escalation rules and automation audit configurations to the AI agent behaviors that power our customers' support operations.
What You'll Bring
A quality-first mindset: you see QA not as a gate at the end of the pipeline, but as a discipline embedded in every phase of product development.
The ability to make sharp risk-based decisions - you know when a 2% repro-rate bug in a non-critical feature is a release note vs. a release blocker.
Experience establishing or maturing QA processes in teams that may not have had formal QA before.
Comfort navigating the tension between speed and quality - you can articulate trade-offs to stakeholders and push back on pressure to skip testing when the risk warrants it.
A collaborative, empathetic approach to working with developers - you build trust, not friction.
What You'll Do
Design, maintain, and execute comprehensive test suites - including functional, regression, integration, smoke, performance, and exploratory tests - across our company's AI platform.
Build and expand automated test coverage using Playwright and Typescript, integrated into our CI/CD pipeline.
Collaborate with developers throughout the SDLC: participate in sprint planning, review requirements for testability, join design reviews, and validate acceptance criteria before development begins.
Own the QA process for key product areas, including escalation configurations, automation audit rules (email patterns, subject lines, message keywords), and AI agent behavior customization.
Investigate, document, and triage bugs with detailed, reproducible reports - and advocate for the right balance between blocking a release and shipping with known issues.
Debug web application issues using browser DevTools, network analysis tools, and API testing utilities.
Champion a testing culture across the engineering organization - quality is everyone's responsibility, and you help make that real through process, tooling, and collaboration.
Proactively identify subtle bug classes - race conditions, off-by-one errors, timezone issues, Unicode handling, caching inconsistencies - and build test strategies specifically targeting them.
Evaluate and recommend improvements to QA tooling, processes, and infrastructure as the team and product scale.

we are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If you're passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.



Responsibilities:

End-to-end development and ownership of products and features, from design to scalable and predictable production behavior

Solve diverse and complex problems in a high-scale, cloud-native environment

Collaborate with other engineers and product managers to improve product functionality, scalability, and performance

Design, develop, and maintain robust, secure, and efficient software solutions

Ensure high system reliability by implementing best practices in monitoring, observability, and automation

Review code, architecture, and data to identify and troubleshoot technical and performance issues

Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning