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We are on a mission to enable enterprises to adopt AI safely and securely. Our approach combines advanced AI research with practical implementation to offer seamless integration and protection for our clients' AI based tools and infrastructure.
We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration.
You wont be working on isolated experiments. Youll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic.
This role requires strong scientific discipline and the maturity to balance innovation with practical constraints.
What youll do
End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic.
Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis.
Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust.
Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment.

We are looking for a strong Data Engineer / Software Engineer who wants to move into Data & AI and thrives in an end-to-end environment. You wont be building models in isolation. Youll join a multidisciplinary team that owns the full lifecycle of our AI Engine- from research ideas, through model serving and optimization, to monitoring and production reliability.
If youre a team-oriented engineer with strong communication skills and a passion for becoming a rockstar in the AI security space, we want you.
What youll do
End-to-End Ownership: from shaping research ideas and experimenting with models, to deploying, optimizing, and maintaining them in production.
Solve Real-World Data Problems: Tackle real-world "data-problems" to improve the reliability and accuracy of our production evaluations.
Optimize Runtime & Inference: Improve latency, throughput, and cost efficiency of our model serving stack. Think in terms of real traffic, constraints, and SLAs.
Staying Scientific: Proactively stay updated on the latest developments in NLP and AI technologies, ensuring our approaches remain at the industry's forefront.

We are looking for an AI Builder to design, build, and maintain agentic AI-driven workflows that streamline and automate internal business processes across the company.
This role focuses on initiating and orchestrating AI agents, integrating them with existing systems, and reducing manual effort across Sales, Marketing, Order Management, Finance, HR, and more.
You will work closely with the Information Systems team and business stakeholders to turn repetitive, human-dependent processes into reliable, AI-powered flows.
This is a hands-on builder role, not a research or pure data science position.
Key Responsibilities:
Agentic AI & Automation:
Design and implement agent-based AI workflows to automate internal processes end-to-end
Build multi-step AI agents capable of:
Decision-making
Tool usage (APIs, SaaS tools, internal systems)
Escalation and exception handling
Continuously optimize AI flows to reduce human involvement while maintaining control and auditability
AI Tooling & Platforms:
Implement solutions using Agentic AI platforms, tools and frameworks, such as: OpenAI / Azure OpenAI / Copilot Studio / Gemini Enterprise, AWS bedrock (AgentCore), SFDC Agentforce
Low-code / no-code automation tools with AI capabilities (e.g., Make, Workato, UiPath, n8n)
Select and evaluate new AI tools to support internal automation initiatives
Systems Integration:
Integrate AI agents with internal systems such as: CRM (SFDC), ERP (NetSuite), ticketing systems (Jira)
Identity and access management
Monitoring, logging, and knowledge bases
Build and consume APIs to enable agent actions and data retrieval
Governance, Reliability & Security:
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

We're looking for an Application Security Researcher to join us. In this critical role, you will assist us in validating our services and environments according to the highest security standards. Also, You will work closely with our R&D and Product teams, and solve complex security problems.
Responsibilities:
Continuously checking and improving security measures to protect our systems.
Reviewing system architecture, design, and code to find and fix security weaknesses before they become a problem.
Helping developers follow secure coding practices and learn how to prevent security risks.
Staying updated on new security threats and best practices to keep our security standards high.
Contributing to our companys security research blog.

The Field AI Engineering team is a unique group of professionals combining strong technical expertise, rooted in a software engineering background, with excellent customer-facing skills.
In this role, you will lead major customer engagements, both remotely and on-site, and tackle the most complex challenges faced by our customers. Some of these challenges will be addressed in-house by designing and developing tailored solutions for customer environments. Others will require close collaboration with our R&D and Product teams to deliver scalable and impactful solutions.
This position is ideal for someone who enjoys solving hard technical problems while working directly with customers and influencing product direction.
Responsibilities
Drive AI Security deal success by handling complex technical sales engagements.
Lead and participate in customer meetings, including technical deep dives, solution design sessions, and executive-level discussions, both remotely and on-site.
Collaborate closely with cross-functional teams, including Sales, Product, R&D, Marketing, Customer Success, and Professional Services, to deliver end-to-end customer solutions.
Design and develop custom features, integrations, and tailored solutions to address customer-specific environments and challenges.
Lead and support complex customer deployments, from initial design through implementation and validation.
Act as a hands-on technical expert throughout the customer lifecycle, contributing wherever needed to ensure successful outcomes.

Were looking for a Senior Software Developer who combines strong technical skills with product intuition and a sense of ownership. Youll work across the stack - from infrastructure to backend services and intuitive UI/UX - building scalable, high-impact systems that shape how organizations secure their AI.
What youll do
Own and run major features and subsystems end-to-end - youll take ideas from concept to production and beyond (monitoring, iteration, refinement).
Work across the full stack: infrastructure, platform, backend services, APIs, and UI/UX. Youll be comfortable shifting between how do we deploy this reliably to how does the user experience this.
Drive team culture of ownership, craftsmanship, iteration and delivery: were not just about shipping features but owning the outcome, learning fast, and improving continuously.
Mentor and support other engineers: bring in the best practices of maintainability, scalability, reliability, and product thinking.

We are looking for an Automation Team Lead - Telco / ISP Networking to join our Networking & Platform Automation group and lead the Telco Automation team.
This role focuses on carrier-scale Internet-facing networking, customer connectivity, and complex multi-region routing scenarios.
As part of this role, you will lead a team of automation engineers dedicated to Telco / ISP networking scenarios, while working closely with R&D, Network Engineering, and Customer-facing teams to define automation strategy, ensure high-quality validation of ISP-grade networking architectures, and support large-scale customer integrations.
Responsibilities
Lead and mentor a team of Automation Engineers focused on Telco / ISP networking scenarios
Define and drive the automation strategy for carrier-grade networking validation
Own the design and validation of Internet BGP architectures, multi-region routing, and PoP connectivity
Oversee modeling and testing of complex routing policies, traffic engineering, and failover scenarios
Ensure scalable automation coverage for customer integration flows, including peering and routing validation
Define and maintain realistic Telco / ISP-like test environments (multi-AS, multi-PoP, Internet edge simulations)
Work closely with Network Engineering and Customer teams to analyze, reproduce, and prevent field issues
Drive automation infrastructure improvements, frameworks, and tooling for large-scale networking tests
Set priorities, manage execution, and ensure delivery according to roadmap and business needs.

Were looking for a visionary Automation Engineer - Networking to join our Automation teams. As a member of this team, you will be responsible for the design, implementation and maintenance of Automated tests using our Java-based framework. Our Automated tests cover various aspects of the product, including complex networking topology, traffic, security rules, and user's authentication scenarios.
Responsibilities:
Define, design, and implement automated regression and sanity tests for our ever-evolving product
Take part in ensuring our product quality and robustness
Identify and design the tools needed for efficient automated testing
Define, set up, and maintain our test automation environments and processes
Develop an Automation infrastructure layer and libraries.

We are looking for an Automation Engineer - Telco / ISP Networking to join our Networking & Platform Automation group. This role focuses on Internet-facing, carrier-scale networking, customer connectivity, and complex multi-region routing scenarios.
As part of this role, you will work closely with R&D, Network Engineering, and Customer-facing teams to design, validate, and automate large-scale networking scenarios that resemble real-world ISP and Telco environments.
Responsibilities
Design, implement, and maintain automated system and integration tests for carrier-grade networking scenarios
Validate Internet BGP architectures, multi-region routing, and PoP connectivity
Model and test complex routing policies, traffic engineering, and failover scenarios
Build automation for customer integration flows, including peering, routing validation, and traffic verification
Define and maintain realistic Telco / ISP-like test environments (multi-AS, multi-PoP, Internet edge simulations)Collaborate with Network Engineering and Customer teams to reproduce, validate, and prevent field issues
Develop automation infrastructure, libraries, and tools to support large-scale networking tests.