דרושים » הנדסה » Team Lead - LLM Agents for Biological Reasoning

ActiveFence is a leading platform for Trust & Safety teams worldwide, leveraging cutting?edge AI and world?class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever?changing threat landscape. We’re seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic. Key Responsibilities
* Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers.
* Develop, deploy and integrate AI solutions and agentic frameworks, creating both command?line tools and interactive notebooks that support our team’s research and workflow automation needs.
* Build and manage data pipelines and databases (SQL) for large?scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation.
* Integrate research into production by implementing the latest generative AI advancements (including white?box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows.
* Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end?to?end processes for prompt generation, labeling, and response evaluation.


About ActiveFence:
ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

As the Product Manager for the AI models of core product offering, you will be responsible for defining and driving its product strategy, requirements, roadmap and delivery.

The product focuses on addressing real-world challenges in drug development by leveraging AI foundation models and multi-omic data to map and predict human immune response.

You will be working closely with our team of Data Scientists, Computational Biologists, Deep Learning Researchers and Engineers.

Location: Ramat Gan, Israel (Hybrid model)

What will you do?

Set the long-term vision and strategy for AI models, ensuring alignment with company goals.
Define product requirements and build a clear, prioritized roadmap for model development and delivery.
Lead benchmarking efforts to evaluate model performance against internal baselines and external best-in-class models.
Collaborate with AI research, data science, engineering, and biologists to translate scientific advances into scalable product capabilities.
Oversee the end-to-end lifecycle of AI models, including data strategy, training priorities, evaluation criteria, releases, and post-deployment monitoring.
Identify, validate, and prioritize high-impact use cases where improved model capabilities create meaningful business or scientific value.
Communicate strategy, progress, and key decisions to leadership and cross-functional stakeholders to drive alignment.

What We Are Looking For As a VP of AI Security Research you will lead, scale, and inspire multi-disciplinary teams focused on red teaming, sandboxing, adversarial testing, developing red-teaming engines, and guardrail protections for GenAI models and agentic AI systems. In this high-profile role, you will work closely with security research, product, engineering, and compliance teams to shape and deliver the next generation of AI cybersecurity solutions, while combining strategic vision with execution to effectively safeguard LLMs and agentic AI deployments at scale. Key Responsibilities
* Building and scaling global AI security teams, while providing mentorship to senior managers and fostering an innovation-driven security culture.
* Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems, and delivering executive-level threat intelligence and risk assessments to inform corporate AI strategy.
* Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress- TEST models at scale.
* Partnering with product and engineering to design and deploy enterprise-ready AI guardrails, including policy enforcement layers, monitoring pipelines, and anomaly detection systems and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).
About ActiveFence:
ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the worlds largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.
Hybrid:
Yes

We're seeking an exceptional Senior AI Engineer to play a central role in our AI Engineering Group. This is an opportunity to join our strong AI group, with a specific focus on Angie - our comprehensive chat agent that's revolutionizing website building and management.
In this role, you'll be at the leading LLM based technological exploration, utilizing a diverse array of tools and advanced technologies. Your mission? To apply cutting-edge AI technologies, to architect and deploy solutions that aren't just high-performing; they're revolutionary. You'll develop systems that cater to our extensive user base (currently 100K+ active users), ensuring that every interaction with our platform reflects our commitment to excellence. If youre enthusiastic about AI and you breathe Agents, MCP, Prompt Engineering, and all the goods of the new world, your place is with us.
About Angie: An Agent-based operating system for website creation and management. Currently in its scaling phase with rapid development cycles, Angie is designed to perform complex operations, such as vibe coding, content generation, bulk actions, error checking, and more.
Work Environment:
What do we do
This is where web creation happens for real.
We are a multi-product platform powering over 13% of the internet.
Our products give millions of web creators: developers, designers, and marketers - everything they need to build, scale, and succeed.
From Israel to more than 160 countries, a new website goes live with us every 10 seconds.
How do we do it
By staying AI-first, data-driven, and human-led.
We build real products that deliver real value, and we do it together.
Creativity, fast feedback, and open collaboration shape everything we do.
You will find good energy and people who genuinely care about the product, the users, and each other.
It is a place to grow, make an impact, and help shape the future of the web.
Responsibilities
Play a key role in defining our developing AI strategy, particularly around Angie's evolution
Gain a deep understanding of the various product lines, with an emphasis on incorporating AI wherever possible to unlock new business frontiers
Pioneer new developments, from both a technological and business perspective
Test emerging AI abilities, incorporating them into our existing and new services, delivering high-quality products while applying engineering best practices and standards
Evaluate and optimize LLMs' performance - a critical aspect of the role, including cost optimization and response speed improvements
Oversee end-to-end development, from ideation to production, while working closely with multiple company stakeholders
Work alongside a dynamic team of domain experts who are passionate about technology and making an impact
Thrive in a fast-paced environment with frequent changes and the exciting challenges of scaling a new product.

What We Are Looking For As a GenAI Security team lead, you will lead a team of GenAI researchers, combining both strategic and hands-on, big-picture planning with direct technical contributions. Your primary responsibility will be managing a GenAI-focused team, while fostering a culture of innovation and excellence, providing comprehensive training, guidance, and leadership while ensuring high-quality deliverables. The position balances managerial responsibilities with hands-on technical work (approximately 25%) Key Responsibilities
* Recruit, mentor, and manage a team of GenAI researchers
* Regularly share knowledge with team members and collaborate across departments
* Evaluate and enhance team performance and deliverables quality
* Lead development of automated TEST harness, continuously evaluating prompts across multiple GenAI models to expose vulnerabilities and measure guardrail effectiveness.

our company partners with the worlds leading AI labs to deliver best-in-class model assurance, red teaming, evaluations, and post-training data programs. Were looking for a Technical Engagement Lead to guide the technical success of these strategic customers. In this role, youll be the key technical counterpart to frontier-model teamshelping them design, structure, and execute complex AI safety programs. You wont be building prompts or running evals yourself; instead, youll lead the technical architecture and orchestration of our work, ensuring quality, coherence, and impact across multiple workstreams. Youll work hand-in-hand with a Senior Account Manager, delivery teams, researchers, and product leaders to help GenAI customers push forward safely and responsibly. What Youll Do
* Serve as the primary technical partner for leading LLM labs and GenAI-native organizations
* Translate customer goals into structured evaluation, red teaming and data programs
* Design engagement architectures across multiple parallel contracts and initiatives
* Ensure technical excellence and consistency in all deliverables
* Lead technical discussions with research, safety, and product teams
* Identify risks, dependencies, and evolving needs early, and drive resolution
* Stay ahead of emerging evaluation methodologies, safety approaches, and model risk trends
* Partner internally with Delivery, Research, Product, and Account Manager to ensure seamless execution
Why us
* Work with the worlds leading AI labs
* Help shape the safety and trustworthiness of next-generation AI models
* Join a mission driven, high performing team
* Enjoy opportunities for growth and professional development in a cutting-edge field.
Hybrid:
Yes

We are seeking a student with a passion for AI to join our GenAI group, focused on driving product innovation through our AI-powered solutions.

This role offers a unique opportunity to work on cutting-edge projects, where you will validate, optimize, and develop LLM, knowledge bases and agentic capabilities that enhance the performance and scalability of our AI platform. This person will be involved in solving complex, real-world challenges while making a tangible impact on the evolution of our AI products.

What youll do:

Optimize, evaluate and refine AI solutions to enhance performance, accuracy, and efficiency.

Expand training and testing data, leveraging both hand-crafted and automated examples.

Address challenges in AI architecture scalability and reliability.

Stay at the forefront of GenAI advancements and best practices.

We are seeking an experienced AI Development Expert with deep technical expertise, strong system-level thinking, and a proven ability to define and implement AI-based solutions across an organization.
This role involves shaping AI system architecture, selecting appropriate technologies, establishing standards, building infrastructure, and advancing innovation in areas such as Machine Learning, Natural Language Processing, and other intelligent applications.
How will you make an impact?
Write high-quality, efficient Python code, including model development, data processing scripts, and MLOps infrastructure.
Guide and advise technical teams on architecture selection, development methodologies, and MLOps practices.
Partner in defining end-to-end AI solution architecture from infrastructure to product.
Support selection and implementation of models, platforms, and advanced AI/ML tools.
Manage risks and address scalability, security, and regulatory aspects of AI solutions.
Write architecture documents, conduct technology reviews, and contribute to strategic projects.
Research and support new technologies (Generative AI, LLMs, CV, and more) according to organizational needs.
Collaborate with development, product, and data teams to optimally integrate AI solutions into existing and new products.

We are seeking an experienced AI Development Expert with deep technical expertise, strong system-level thinking, and a proven ability to define and implement AI-based solutions across an organization.
This role involves shaping AI system architecture, selecting appropriate technologies, establishing standards, building infrastructure, and advancing innovation in areas such as Machine Learning, Natural Language Processing, and other intelligent applications.
How will you make an impact?
Write high-quality, efficient Python code, including model development, data processing scripts, and MLOps infrastructure.
Guide and advise technical teams on architecture selection, development methodologies, and MLOps practices.
Partner in defining end-to-end AI solution architecture from infrastructure to product.
Support selection and implementation of models, platforms, and advanced AI/ML tools.
Manage risks and address scalability, security, and regulatory aspects of AI solutions.
Write architecture documents, conduct technology reviews, and contribute to strategic projects.
Research and support new technologies (Generative AI, LLMs, CV, and more) according to organizational needs.
Collaborate with development, product, and data teams to optimally integrate AI solutions into existing and new products.

What you'll do
Design, implement, and own robust automation workflows that execute outbound sales development processes.
Coordinate multi-agent workflows to ensure reliability, monitoring, and smooth handoffs.
Set standards for research, sequencing, and scheduling automation; align with pipeline and revenue goals.
Convert GTM goals and ICP definitions into scalable prompts, data flows, and automated playbooks that support end-to-end outbound motions.
Integrate third-party tools, APIs, and internal systems.
Run A/B tests on prompts, templates, and timing; track conversions and the impacts of the different managed channels.
Evaluate and standardize tooling, templates, and agents; maintain a backlog, release notes, and a clear incident/rollback process.
Collaborate with other team functions to ensure performance reporting: meetings set, conversion lift, pipeline/revenue contribution, cycle time, and cost-per-meeting.