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We are looking for a Staff Backend Engineer - AI moderation.
What Youll Do:
Lead and Deliver End-to-End: Develop core systems of the full stack moderation platform across both backend and frontend.
Ship Fast, Ship Smart: Work quickly and clearly toward customer and business goals. Deliver functionality iteratively while keeping the big picture in focus.
Set the Technical Foundation: Make architectural decisions that scale. Use the right tools, not just trendy ones. Leverage code generation and LLM-assisted development where helpful - but keep it on a leash. Set up and maintain CI/CD pipelines to keep the team fast and safe. Lean on existing infrastructure where it makes sense, so you can move faster without reinventing the wheel.
Elevate Quality and Standards: Clean code, modular design, and sustainable engineering practices all thats needed to build a secure, scalable stack.
Drive Innovation and Practicality: Balance creative ideas with real-world execution.

we are looking for an experienced and highly motivated Development Group Manager to lead our AI Agents Development Group under the Data, AI & Research department.
This role offers an opportunity to drive innovation and spearhead cutting-edge conversational and Agentic technologies within a global leader in security. You will be responsible for recruiting and managing a world-class team of AI engineers and architects, guiding the development of Agentic and conversational solutions that enhance products and services. 

Leading and mentoring several teams of AI engineers, fostering their technical excellence and innovation. 
Overseeing the full AI solution lifecycle, including data acquisition, model selection, fine-tuning and usage, evaluation, and continuous improvement. 
Implementing a data-driven decision-making approach to ensure AI solutions align with business goals and deliver measurable impact. 
Establishing numerical quality measurements to track and improve AI model performance and effectiveness, as well as adoption and satisfaction. 
Collaborating with product management and the field to define the roadmap for Agentic AI capabilities and ensuring alignment with business objectives. 
Improving and complying with best practices for AI-related governance, security, and ethical principles. 

we are looking for a Senior Software Engineer to join our team. The engineer will be responsible for the machine identity and access offering, designing, and developing services used in SaaS products.

The team designs and develops services that integrate closely with leading cloud vendors like AWS, Azure, and GCP.

In this role, you will use AWS serverless architecture and AWS CDK with Python throughout the entire SDLC, from planning to production.

The team collaborates with security architects, product managers, and other development teams.

We produce complex and advanced solutions that meet the highest security standards and NFRs.

We seek someone energetic and versatile to join our family and help us achieve our goals.

Were building foundational infrastructure to secure AI agents including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.

Youll help define how agents (both machine and human-facing) authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail.

This is a unique opportunity to be part of a start-up inside the company building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.

Responsibilities:

Develop secure, scalable Python services to support agent identity, secrets access, credential management, and authorization flows.

Implement JWT-based agent/user authentication, and real-time policy checks based on agent context and tool usage.

Build SDKs, wrappers, and tool integrations that enable popular agent frameworks (LangChain, LangGraph, Semantic Kernel, etc.) to securely request and use secrets.

Collaborate closely with the architect and other engineers to design components with clear boundaries and clean contracts.

Ensure secrets and credentials are injected only when needed, redacted from logs, and never persist in agent memory or prompts.

Write thorough tests and maintain high-quality, well-documented code.

Work cross-functionally with internal platform, AI, and security teams to understand requirements and refine implementation plans.