As a Senior Software Engineer on the Core AI Squad, you'll design, build, and operate customer-facing AI platform capabilities that power intelligent product experiences across Cloudbeds.
Locations (2)
United States
Latin America
Compensation
$140,000 and $180,000 USD. (The salary is only for US-based candidates)
Responsibilities
Design, build, and operate customer-facing AI platform services and product features primarily in Python
Build and evolve agentic harnesses, including agent runtimes, workflow orchestration, tool execution, state management, recovery paths, and evaluation hooks
Integrate agents and LLM-powered workflows into production systems with strong attention to reliability, correctness, latency, scalability, and cost
Evaluate models and providers for specific product use cases, using clear success criteria and abstractions
Own evaluation, tracing, observability, and quality feedback loops for AI features
Dedicated AI Security & Risk Manager operating at the intersection of AI and security, identifying, assessing, and managing risk introduced by internal and vendor AI.
Compensation
Expected annualized base salary $150,000 - $175,000
Responsibilities
Own and maintain the firm's AI risk framework, covering model risk, data privacy, adversarial threats, third-party AI, and regulatory compliance.
Develop and enforce AI usage policies in collaboration with Legal and Compliance, including acceptable use, data classification requirements, and prompt handling standards.
Maintain an inventory of AI tools deployed firm-wide — both sanctioned and shadow — and assess associated risk profiles.
Provide regular AI risk reporting to the Head of Technology Risk and senior leadership, including emerging threat trends, vendor posture changes, and control gaps.
Monitor the evolving regulatory environment for AI (EU AI Act, SEC guidance, DORA, NY DFS) and advise on compliance obligations and required controls.
Requirements
Bachelor's degree in Computer Science, Information Security, Data Science, or a related field
Lead Software Engineer responsible for designing, building, and delivering secure, high-quality production code and leading technical initiatives within an agile team.
Responsibilities
Executes creative software solutions, design, development, and technical troubleshooting
Develops secure high-quality production code, reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Lead conversations with customers to understand their business problems, translate those problems into concrete, creative AI solution ideas, design and build AI-based solutions, prototype quickly, and work closely with leadership, product and engineering teams to turn customer insight into working solutions.
Compensation
A B2B contract with a competitive salary: PLN 25,000-35,000 net / month + VAT – to confirm
Responsibilities
Lead conversations with customers to understand their business problems
Translate problems into concrete, creative AI solution ideas and present them
Design and build AI-based solutions, from agentic systems and multi-step workflows to LLM-based applications
Prototype quickly to show customers what’s possible, then iterate based on what you learn
Work closely with leadership, product and engineering teams to turn customer insight into working solutions
Lead and execute red team operations, develop offensive tooling, and provide threat intelligence to strengthen Grab's security posture across cloud, CI/CD, endpoint, identity, application, and AI environments.
Responsibilities
Lead end-to-end red team operations and intelligence-led Purple Team exercises
Develop command-and-control tooling, implants, payload delivery mechanisms, and operator workflows
Red team AI systems, including internal copilots, agentic workflows, AI-assisted operational tools, and MLOps environments
Use AI tools to improve research, automation, payload development, reporting, operational planning, and analysis of defensive coverage
Translate red team findings and threat intelligence into clear engineering actions
Technical engineering lead for complex, multi-month projects to build and maintain agentic AI systems across organizational domains.
Locations (2)
Cincinnati, Ohio, United States
Chicago, Illinois, United States
Compensation
Base Pay Range $125,000—$207,000 USD
Responsibilities
Serve as the technical engineering lead on complex, multi-month projects to build and maintain agentic AI systems across organizational domains.
Foster a collaborative and innovative team environment, encouraging professional growth and development among junior team members.
Leverage established software engineering patterns, frameworks, and tools to automate, deploy, and integrate generative AI and agentic solutions.
Develop tools, processes, and operational capabilities to monitor agent behavior, response quality, data accuracy, latency, and system reliability.
Partner with researchers, domain experts, and platform teams to optimize and scale agentic systems using software engineering, DevOps, and AI lifecycle best practices.
Director of Product Management - Agentic Platform Enablement Experience (APEX)
Principal-caliber individual contributor role with people leadership focused on the agentic platform surfaces (APEX), including agent SDKs, tool use, orchestration, the internal developer platform, and autonomy/trust experience.
Compensation
Base Salary Range: $225k - $258k Bonus and options in addition to base.
Responsibilities
Own end-to-end product strategy, roadmap, and launch criteria for the APEX platform surfaces
Set and own launch-readiness criteria for non-deterministic systems in partnership with Engineering, Security, Research, and Design
Define the autonomy spectrum per capability (human-in-the-loop, AI-assisted, agentic) and trust and control experience
Identify and mitigate misuse and risk pre-launch; define monitoring, audit trail, and rollback
Personally build prototypes, scripts, and evaluation harnesses to test product decisions
The Lead AI Engineer is the senior technical authority responsible for driving architecture, technical direction, and engineering standards for AI-powered products and Digital Workers. The role evolves toward team leadership.
Compensation
The expected base salary range for this position is $150,000 to $180,000 annually.
Responsibilities
Own the architecture of the Digital Worker platform and AI capabilities
Establish design principles, engineering patterns, and architectural standards for AI systems
Lead technical design reviews and make tradeoff calls on quality, latency, and cost
Design and build production systems using LLMs, retrieval architectures, and agentic workflows
Build reusable frameworks for agent orchestration and tool integration
We are seeking a Principal Security Engineer to lead AI-native security and security automation, and to orchestrate our security operations and incident response focusing on the security of our agentic AI platform.
Responsibilities
Own AI and agentic security tooling, including Wiz AI Security Posture Management and AI Lens for visibility across AI, MCP, agents, and models, runtime guardrails, and the AI Bill of Materials (AIBOM).
Drive MCP and agent protection from visibility to active enforcement, and integrate model and AI supply-chain scanning into CI/CD.
Build and run the AI red-teaming program, aligned to the OWASP LLM and Agentic Top 10 and MITRE ATLAS, and partner with product and engineering to embed AI security controls into the platform lifecycle.
Operationalize Wiz CNAPP, CSPM, and DSPM for cloud and data security posture, and drive risk-based prioritization of findings toward automated remediation.
Build detection-as-code and Security Orchestration, Automation, and Response (SOAR) workflows; automate alert triage, enrichment, and assignment, and progressively automate remediation of well-understood risks.
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