As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: This role sits at the intersection of AI application engineering and platform reliability within CrowdStrike’s Core Tech, Go To Market IT Apps Team — a team of Architects, Engineers, QA, BSAs, and Product Owners delivering highly Reliable, Scalable, and Secure Infrastructure and Automation Services across GTM Applications to accelerate Business Velocity and Operational Excellence. As a hybrid AI Engineer (Dev + DevOps), you will build and own the full lifecycle of agentic AI solutions: from designing LLM-powered workflows and autonomous agents to engineering the CI/CD pipelines, infrastructure-as-code, platform observability, and DevSecOps practices that make those solutions production-grade and enterprise-ready. As part of the GTM AI Pod, every member is expected to embrace Agentic AI technologies, operate with an open-source AI engineering mindset, and actively contribute to building the next generation of intelligent GTM workflows. You will not hand off your code to another team to deploy — you own it end to end. What You’ll Do: - Lead engineering delivery for agentic AI capabilities across GTM stakeholders and technology stacks (Salesforce, Slack, third-party apps, and in-house platforms), owning requirements through production deployment and post-release observability. - Design and build LLM-powered workflows, autonomous agents, and multi-agent systems using Agentcore, Slack, Model Context Protocols (MCPs), LangChain, and LangGraph — then ship them via automated pipelines you maintain. - Define scalable enterprise AI architecture patterns: model routing, orchestration, memory management, context-window governance, and multi-tenant isolation strategies. - Design and optimize RAG systems, semantic search pipelines, vector retrieval strategies, and enterprise knowledge-grounding frameworks for GTM data domains. - Build and maintain Salesforce Apex, Lightning Web Components, Platform Events, and Agentforce agent actions, integrating them with AI back-ends through secure, event-driven patterns. - Build and operate platform observability stacks (tracing, logging, alerting) and AI-specific metrics while managing infrastructure-as-code (Terraform / CDK) across AWS Bedrock and Vertex AI. - Implement DevSecOps and evaluation frameworks: supply-chain security, prompt benchmarking, hallucination reduction, and automated regression testing for non-deterministic outputs. - Define error handling, fallback strategies, and graceful degradation patterns for non-deterministic AI systems, including circuit-breaker patterns at both the application and infrastructure layers. - Retire legacy integrations and replace them with modern, agentic, event-driven architectures, eliminating manual toil through automation and self-healing runbooks. - Champion engineering excellence: code reviews, runbook documentation, blameless post-mortems, and capacity planning that spans both application logic and underlying compute. - Evaluate AI vendors and platforms with a strategic build-vs-buy mindset, factoring in total cost of ownership, compliance posture, and operational burden. - Identify, scope, and automate manual GTM processes to increase organizational leverage and reduce time-to-insight for go-to-market teams. What You’ll Need: - Bachelor’s degree in Computer Science, Engineering, or a related field. - 5+ years of software engineering experience, with meaningful exposure to both application development and platform/infrastructure responsibilities. - Strong proficiency in Python and TypeScript/JavaScript for AI application development, automation scripting, and infrastructure tooling. - Hands-on production experience with agentic AI frameworks, document parsing and structured extraction pipelines, autonomous agents, and LLM-powered systems at enterprise scale. - Solid working knowledge of modern AI orchestration frameworks: LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, and/or LangChain. - Demonstrable experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, or Copado) and practicing GitOps or trunk-based delivery for both application and infrastructure code. - Proficiency with container and orchestration runtimes (Docker, Kubernetes or equivalent) and familiarity with service mesh, secrets management, and configuration management patterns. - Salesforce development experience: Apex, LWC, REST/SOAP integrations, Platform Events, and Agentforce agent actions. - Proficiency with vector databases (Pinecone, pgvector, Weaviate, or similar) and retrieval optimization techniques for RAG systems. - Solid understanding of DevSecOps practices: supply-chain security, SAST/DAST integration, secrets rotation, and least-privilege cloud IAM. Bonus Points: - Salesforce Platform Developer II, Application Architect, or DevOps Engineer certification. - Experience building Slack apps, Slack Workflow Builder, or Slack-integrated agentic workflows. - Hands-on experience with Salesforce Einstein / Agentforce platform development. - Demonstrated contributions to open-source AI or DevOps tooling (LangChain, LlamaIndex, Terraform providers, or similar). - Exposure to fine-tuning, RLHF, or model evaluation pipelines on domain-specific GTM datasets. - Experience designing or operating model routing platforms, enterprise AI control planes, or multi-model gateway patterns (e.g., LiteLLM, OpenRouter). - Background in platform engineering, SRE, or cloud infrastructure with a measured focus on SLOs, error budgets, and reliability engineering practices. - Familiarity with AI governance, responsible AI frameworks, or MLOps maturity models as they apply to enterprise GTM systems. #LI-DP1 #LI-Remote Benefits of Working at CrowdStrike: - Market leader in compensation and equity awards - Comprehensive physical and mental wellness programs - Competitive vacation and holidays for recharge - Paid parental and adoption leaves - Professional development opportunities for all employees regardless of level or role - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections - Vibrant office culture with world class amenities - Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

Role Description As a Senior Full-Stack AI Engineer, you will play a critical hands-on role in building and evolving Superbench's AI-powered platform. Working closely with product and leadership, you will design, develop, and ship intelligent, customer-facing features that leverage modern AI capabilities. - Design and build AI-powered product features, including conversational interfaces, RAG pipelines, and multi-step / multi-agent workflows. - Own the implementation of backend and frontend systems across the Superbench platform. - Translate product requirements into scalable technical solutions, particularly for AI-driven use cases. - Work hands-on across the stack: Node.js/TypeScript and Python backend services, React frontend applications. - Integrate LLMs and AI tooling into production systems, ensuring reliability, performance, and strong user experience. - Build and maintain APIs, services, and data pipelines that support AI functionality. - Collaborate closely with product and design to iterate quickly on AI-driven features. - Contribute to engineering best practices around testing, code quality, and system reliability. - Participate in code reviews and support knowledge sharing across the team. Qualifications - 6+ years of professional software engineering experience, with a strong focus on building production systems. - 4+ years of backend engineering experience, primarily using Node.js frameworks (e.g. Express, NestJS) and modern TypeScript. - 2+ years of frontend engineering experience building user-facing applications with React. - 2+ years of practical experience building and integrating AI systems into production applications. - Deep understanding of JavaScript and TypeScript. - Strong experience designing and building scalable backend systems, APIs, and services. - Solid experience with relational databases (e.g. PostgreSQL, MySQL), including schema design and query optimization. - Hands-on experience with NoSQL databases (e.g. MongoDB). - Hands-on Python experience (2+ years), particularly for AI workflows, data processing, or backend services. - Strong experience building AI-powered customer-facing features, including: - Retrieval-Augmented Generation (RAG) pipelines. - Multi-step and/or multi-agent AI workflows. - Prompt design, evaluation, and iteration. - Tool-using agents and orchestration frameworks. - Experience working with AI frameworks and tools such as OpenAI SDK, LangGraph, MCP, or similar. - Hands-on experience with vector databases (e.g. Pinecone or equivalents). - Proven experience integrating complex AI flows into real user-facing products. - Strong problem-solving skills and ability to work in ambiguous environments. - Strong communication skills, with the ability to explain technical concepts clearly. - Strong spoken and written English. Requirements - Experience working in early-stage startups or fast-paced product environments (nice to have). - Familiarity with cloud platforms (e.g. GCP), CI/CD pipelines, and basic DevOps practices (nice to have). - Experience with event-driven architectures, background jobs, or message queues (nice to have). - Experience building real-time or conversational systems (e.g. chat, messaging, workflow automation) (nice to have). - Exposure to analytics, data pipelines, or reporting systems (nice to have). - Experience working with multi-tenant SaaS platforms (nice to have). - Familiarity with security best practices, authentication/authorization, and data privacy considerations (nice to have). - Experience collaborating in remote or distributed teams (nice to have). Benefits - Fully remote role with a distributed team. - Flexible working hours - we care about outcomes, not clock-watching. - Autonomy to structure your day, with clear communication and accountability. - A true leadership role in an early-stage startup. - Ownership over core technical decisions during a critical company pivot. - Direct influence on product direction, architecture, and long-term technical strategy. - Competitive compensation, commensurate with experience and seniority. - MacBook Pro provided. - Unlimited PTO (after a 3-month probationary period). - Grow into a long-term technical leader as the company scales. - Deepen your expertise in AI-first product development, including conversational AI, RAG, and agentic systems. - Work closely with founders and leadership. - Freedom to experiment, learn, and introduce better tools, processes, and practices.

Role Description As a Senior Full-Stack AI Engineer, you will play a critical hands-on role in building and evolving Superbench's AI-powered platform. Working closely with product and leadership, you will design, develop, and ship intelligent, customer-facing features that leverage modern AI capabilities. - Design and build AI-powered product features, including conversational interfaces, RAG pipelines, and multi-step / multi-agent workflows - Own the implementation of backend and frontend systems across the Superbench platform - Translate product requirements into scalable technical solutions, particularly for AI-driven use cases - Work hands-on across the stack: Node.js/TypeScript and Python backend services, React frontend applications - Integrate LLMs and AI tooling into production systems, ensuring reliability, performance, and strong user experience - Build and maintain APIs, services, and data pipelines that support AI functionality - Collaborate closely with product and design to iterate quickly on AI-driven features - Contribute to engineering best practices around testing, code quality, and system reliability - Participate in code reviews and support knowledge sharing across the team Qualifications - 6+ years of professional software engineering experience, with a strong focus on building production systems - 4+ years of backend engineering experience, primarily using Node.js frameworks (e.g. Express, NestJS) and modern TypeScript - 2+ years of frontend engineering experience building user-facing applications with React - 2+ years of practical experience building and integrating AI systems into production applications - Deep understanding of JavaScript and TypeScript - Strong experience designing and building scalable backend systems, APIs, and services - Solid experience with relational databases (e.g. PostgreSQL, MySQL), including schema design and query optimization - Hands-on experience with NoSQL databases (e.g. MongoDB) - Hands-on Python experience (2+ years), particularly for AI workflows, data processing, or backend services - Strong experience building AI-powered customer-facing features, including: - Retrieval-Augmented Generation (RAG) pipelines - Multi-step and/or multi-agent AI workflows - Prompt design, evaluation, and iteration - Tool-using agents and orchestration frameworks - Experience working with AI frameworks and tools such as OpenAI SDK, LangGraph, MCP, or similar - Hands-on experience with vector databases (e.g. Pinecone or equivalents) - Proven experience integrating complex AI flows into real user-facing products - Strong problem-solving skills and ability to work in ambiguous environments - Strong communication skills, with the ability to explain technical concepts clearly - Strong spoken and written English Requirements - Experience working in early-stage startups or fast-paced product environments (nice to have) - Familiarity with cloud platforms (e.g. GCP), CI/CD pipelines, and basic DevOps practices (nice to have) - Experience with event-driven architectures, background jobs, or message queues (nice to have) - Experience building real-time or conversational systems (e.g. chat, messaging, workflow automation) (nice to have) - Exposure to analytics, data pipelines, or reporting systems (nice to have) - Experience working with multi-tenant SaaS platforms (nice to have) - Familiarity with security best practices, authentication/authorization, and data privacy considerations (nice to have) - Experience collaborating in remote or distributed teams (nice to have) Benefits - Fully remote role with a distributed team - Flexible working hours - we care about outcomes, not clock-watching - Autonomy to structure your day, with clear communication and accountability - A true leadership role in an early-stage startup - Ownership over core technical decisions during a critical company pivot - Direct influence on product direction, architecture, and long-term technical strategy - Competitive compensation, commensurate with experience and seniority - MacBook Pro provided - Unlimited PTO (after a 3-month probationary period) - Grow into a long-term technical leader as the company scales - Deepen your expertise in AI-first product development, including conversational AI, RAG, and agentic systems - Work closely with founders and leadership - Freedom to experiment, learn, and introduce better tools, processes, and practices

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team Airwallex's Information Security team partners closely with engineering, IT, and other stakeholders to protect our systems, data, and employees while enabling the business to move quickly. The team helps build and maintain strong security practices across the company-from secure product and infrastructure design to risk reduction, incident response, audits, and compliance-so security is built into how we operate, not treated as a blocker. What you'll do As a Senior Software Engineer working on internal AI tooling, you will be responsible for helping keep $150b+ in payments, 150,000 companies, and our thousands of employees safe. You'll have the opportunity to partner with internal teams to help identify projects that can drive impact - like building internal automation tooling, owning our terabyte-scale log pipelines, and using AI to streamline how our team operates. We're not tied to specific projects, languages, and technology - we rely on smart people diving deep to find the best solutions to hard problems. You'll also be mentoring junior team members and continuing to grow our world-class engineering team. Responsibilities: - Lead the development of AI tools and applications, from inception to implementation. - Support incident response efforts by building ad-hoc tools for threat hunting, remediation and scanners. - Build, monitor, and maintain underlying infrastructure, including Kubernetes clusters, serverless workloads, and ETL pipelines. - Sit with engineers to identify opportunities for automation and tooling development - Partner with product engineering teams to drive security outcomes - such as automation for patching, and development of gateways and other services to decrease risk. - Mentor and help grow other Software Engineers in the team. Who you are - You have a passion for solving the complex challenges within a high-growth start-up. - You are self-motivated, a self starter, and able to learn new skills and dive deeper into existing skills. Minimum qualifications: - Bachelor's degree in Computer Science, Information Security, or a related field. - 8+ years of experience as a Software Engineer. - Experience with production code bases - Experience with at least one scripting language (e.g. Python) and one systems programming language (eg. Golang, C/C++) - Experience with modern cloud infrastructure, including data pipelines, serverless workloads, and Kubernetes - Proven experience working autonomously on projects - delivering them to a high quality and on time. - Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders. - Ability to dive deep to find the best solution to a problem - Obsessive curiosity and a willingness to ask questions, gather context, and learn Preferred qualifications: - Experience working in a high-growth tech company. - Hands on experience with AI - specifically leveraging AI to build applications - Experience maintaining Linux operating systems Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. #BI-Hybrid