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We are looking for a Principal AI Security Researcher with deep, hands-on expertise in AI red teaming and AI security to lead and scale RLGyms AI security research efforts.
This is not a traditional cybersecurity leadership role. We need someone who has directly worked on breaking, attacking, testing, and securing AI systems, particularly large language models (LLMs), generative AI applications, and agentic AI systems.
The ideal candidate has significant practical experience designing and executing AI red-team programs, developing adversarial attacks, identifying AI-specific vulnerabilities, building automated red-teaming capabilities, and translating findings into effective guardrails and security protections.
What you'll be doing:
Lead and scale multidisciplinary teams focused on AI red teaming, adversarial testing, and AI security research.
Design and execute sophisticated attacks against LLMs, GenAI applications, and agentic AI systems.
Research attack techniques including prompt injection, jailbreaks, indirect prompt injection, tool abuse, agent manipulation, data leakage, model misuse, and adversarial behavior.
Build and evolve AI red-teaming engines and automated adversarial testing systems, including RLGym.
Building and scaling global AI security teams (red teaming, adversarial research, guardrails engineering) while fostering an innovation-driven security culture.
Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems
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).

The Director of AI Enablement is both a builder and a transformation leader, someone who can identify opportunities, design and implement AI solutions, and drive adoption across the organization to create measurable business value.

Reporting directly to the CEO, this is a highly visible, hands-on leadership role at the intersection of business transformation, technology, and organizational change.

The successful candidate will lead AI roadmap, build practical AI solutions, drive adoption across functions, and help transform how work is performed throughout the organization.

What Will You Do?

Define and execute AI roadmap.

Identify, prioritize, and implement high-impact AI opportunities across the business.

Partner with business, operational, engineering, and corporate functions to understand workflows, pain -points and improvements opportunities.

Translate business challenges into practical AI use cases and measurable outcomes.

Design, build, pilot, and scale AI-powered solutions, including AI agents, copilots, automations, knowledge assistants, and business applications.

Partner with IT, Engineering, Infrastructure, and Security teams to ensure scalable, secure, and sustainable solutions.

Lead the transformation, not just the technology; drive AI adoption across departments and help leaders redesign processes and ways of working to maximize AI value.

Work hand-in-hand with HR and business leaders to lead the organizational transformation required to successfully adopt AI, build internal capabilities, and embed new ways of working across the company.

Establish and lead the core pillars of the AI Enablement program: Adoption, Infrastructure, and Solution Development.

Build and lead a community of AI Builders and Leaders across the organization.

Establish AI governance, Responsible AI practices, and security standards.

Measure and communicate business impact through adoption, productivity gains, efficiency improvements, time savings, and ROI.

Success is measured not only by building AI solutions, but by driving meaningful improvements in productivity, efficiency, quality, decision-making, and business performance across the organization.

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 highly technical Senior Product Manager with deep expertise in data platforms and AI/ML to join our Product team. This is a unique opportunity for a data and AI expert to take full ownership of a strategic product domain, shaping how we leverage data intelligence and AI-driven capabilities to deliver smarter, faster security validation.
Roles & Responsibilities:
Lead product management activities throughout the entire product lifecycle in a fast-paced startup environment.
Drive the Data & AI product strategy, including defining AI model behavior/integration within cybersecurity, and leading data analytics to generate actionable product insights.
Collaborate closely with R&D, Sales, and customers to execute the roadmap, gain market insights, and drive revenue/ongoing product success.

As an AI Engineer, you will help build scalable deep learning systems for Physical AI and humanoid robotics.
You will contribute across the full AI lifecycle, from simulator integration and large-scale data pipelines to model training, evaluation, deployment, and optimization on real robotic platforms.
In this role, you will work with large-scale datasets and compute infrastructure to train state-of-the-art models that enable robots to perceive, reason, and act in the physical world.
You will help build robust, production-grade systems that bridge simulation and reality, accelerate model iteration, and bring cutting-edge AI capabilities onto real humanoid robots.

In Customer Care and Trust & Safety, real people are on the other side of every decision. You're the reason why our users feel safe using our company, and you take that seriously. From quality assurance specialists to fraud analysts, those we're looking for are stakeholder-savvy and treat every case like it's the only one that matters. So if you're methodical when the details affect peoples livelihoods, we want to hear from you.
Join our dynamic Customer Care team as a Chatbot Project Lead, taking the reins on our chatbot roadmap and stakeholder communication. This is a critical role stepping in to guide a talented team, ensuring seamless project delivery and strategic alignment as we enhance our AI-powered customer solutions.
What am I going to do?
Manage the end-to-end chatbot roadmap and sprint delivery, ensuring all project deadlines and key performance indicators are met with precision.
Translate overarching company strategic goals into actionable chatbot experience improvements, effectively communicating updates and insights to diverse stakeholders.
Mentor and provide hands-on guidance to team members, fostering their growth in areas like advanced prompting techniques on platforms such as Forethought.
Leverage data analysis to deeply understand chatbot performance, driving continuous optimization and informing strategic decision-making.
Facilitate key team meetings and foster a collaborative and inclusive team culture.

We are hiring a hands-on AI expert to shape our intelligent platform, organizing complex real estate data into actionable insights and predictive models that power smarter investment decisions.

Responsibilities

AI/ML Architecture: Design and implement scalable AI systems using models such as
LLMs (e.g., OpenAI, Anthropic) and computer vision (e.g., YOLO, CLIP)
MCP Integration: Architect and orchestrate model context flows using MCP or similar
frameworks to deliver personalized, context-aware experiences
FinTech Platform Integration: Embed intelligent features into our backend and frontend
systems, ensuring seamless UX and robust performance
Hands-On Development: Write production-grade code across Python, TypeScript, and
Node.js. Own key modules and guide technical decisions
Team Leadership: Mentor a few developers, set engineering standards, and foster a
culture of experimentation and excellence
Data Strategy: Collaborate with product and data teams to define training datasets,
feedback loops, and model evaluation pipelines

What will you do:
Design, build, and maintain production-grade AI-powered applications and services.
Develop end-to-end full-stack solutions, including backend services, APIs, and modern React-based frontends.
Build scalable, secure, and highly available distributed systems.
Develop AI agents, copilots, autonomous workflows, and intelligent automation.
Build and deploy RAG (Retrieval-Augmented Generation) solutions and integrate LLMs into production.
Design AI orchestration workflows using frameworks such as LangChain, LangGraph, or similar.
Implement AI evaluation, tracing, and observability pipelines using Langfuse or equivalent tools.
Develop MCP (Model Context Protocol) integrations and AI tooling ecosystems.
Build and maintain cloud infrastructure, CI/CD pipelines, and Infrastructure-as-Code.
Drive engineering productivity through AI-assisted development and automation.
Collaborate closely with Product, Design, and Engineering teams to deliver customer value.
Research and evaluate emerging AI technologies and introduce innovative solutions.
Own features end-to-end-from architecture and development to deployment, monitoring, and continuous improvement.

we are looking for a AI Algorithm Tech Lead.
This is a role in core AI group, which specializes in developing cutting-edge AI solutions in healthcare, enhancing medical imaging and diagnostics. As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Responsibilities:
Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects.
Design and conduct research and experimentation to improve algorithm performance and accuracy.
Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team.
Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives.
Provide strategic direction and technical mentoring to elevate the capabilities of the AI team.

we are looking for a AI Software Engineer.
This is a AI Software Engineer role within AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products.
Responsibilities:
Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging.
Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features.
Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems
Develop and maintain high-quality, scalable, and efficient code.
Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems)

we are looking for a Director of GenAI Operations.
The Director of GenAI Operations is responsible for driving the adoption, maintaining standards, and ensuring the effective use of AI across . This role partners with business and technical stakeholders to identify high-impact opportunities, translate them into scalable AI-enabled workflows, and ensure responsible implementation aligned with company priorities and producing measurable ROI.
This role combines strategy, execution, enablement, and governance. Director of GenAI Operations will define standards, build repeatable playbooks, support cross-functional adoption, and help employees and teams use AI tools in a practical, measurable, and secure way.
Main roles and responsibilities:
Partner with business leaders to identify, assess, and prioritize AI and automation opportunities across workflows and processes.
Hands-on creation of scalable AI-enabled workflows and operating models that align with business needs, available tooling, and business systems.
Translate use cases into clear implementation requirements, process definitions, documentation, and success criteria.
Build and maintain AI playbooks, standards, usage guidelines, and best practices for employees and teams.
Lead enablement activities, including onboarding, workshops, training materials, office hours, and internal knowledge sharing.
Drive adoption of approved AI tools and capabilities across the organization, helping teams move from experimentation to sustainable usage.
Collaborate with business stakeholders to ensure AI usage aligns with governance, privacy, security, confidentiality, and compliance requirements.
Establish feedback loops, reporting, and measurable KPIs for AI adoption, productivity gains, and business outcomes.
Monitor external AI trends, vendor capabilities, and emerging practices, and recommend improvements relevant .
Support vendor evaluation, tool rationalization, and the rollout of new AI capabilities where needed.

We are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

We are seeking a talented and experienced GenAi Enigneer to build AI powered applications that involve various technology stacks and data on top of the platform.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do:
Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
Performance Optimization:
-Reduce end-to-end latency through asynchronous processing and streaming (SSE).
-Implement semantic caching strategies to minimize API costs and response time.
-Optimize token usage without sacrificing answer quality.
Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.