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xAI

xAI

x.ai

30 Jobs

2,602 Employees

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Company background Company brand
Company Name
xAI
Job Title
Application Security Engineer
Job Description
**Job Title** Application Security Engineer **Role Summary** Secure the cloud‑native application stack from design through deployment. Lead code reviews, CI/CD security integration, threat modeling, and AI‑specific risk assessments while collaborating with development teams to embed secure coding practices and maintain an up‑to‑date, compliant supply chain. **Expectations** * Deliver actionable security findings and remediation plans. * Maintain proactive threat posture and incident response readiness. * Keep knowledge current on cloud, DevSecOps, and AI/ML security trends. * Communicate findings clearly to technical and non‑technical stakeholders. **Key Responsibilities** 1. Conduct static code reviews and dynamic analysis to identify OWASP Top 10 and LLM‑specific vulnerabilities. 2. Develop and enforce secure coding guidelines for Python and Rust. 3. Integrate security controls into CI/CD pipelines (GitOps, IaC). 4. Perform threat modeling, risk assessments, and mitigation strategy development for new features. 5. Track, triage, and verify resolution of vulnerabilities; maintain vulnerability dashboards. 6. Generate and curate Software Bills of Materials (SBOMs) for third‑party components. 7. Respond to application security incidents and coordinate with incident‑response teams. 8. Evaluate and harden AI/ML models against OWASP LLM Top 10 risks. 9. Stay abreast of emerging threats, cloud security services, and AI safety best practices. 10. Advocate for security tooling improvements, possibly building custom solutions to automate processes. **Required Skills** * 3‑5 years in application security, code‑level security, and DevSecOps. * Proficiency in Python or Rust; secure coding best practices. * Experience with static/dynamic analysis tools (e.g., Burp Suite, OWASP ZAP). * Deep knowledge of OWASP Top 10 and OWASP LLM Top 10. * Skilled in securing CI/CD pipelines, GitOps, IaC. * Familiarity with SBOM generation and supply‑chain security. * Strong threat modeling, risk assessment, and incident‑response skills. * Excellent written and verbal communication; ability to explain complex security concepts. **Required Education & Certifications** * Bachelor’s degree in Computer Science, Cybersecurity, or related field. * Relevant certifications (CSSLP, OSWE, or equivalent) preferred but not mandatory.
San francisco, United states
On site
Junior
20-09-2025
Company background Company brand
Company Name
xAI
Job Title
Technical Lead, X Money
Job Description
Job Title: Technical Lead, X Money Role Summary: Lead technical design, architecture, and execution of a high‑scale, low‑latency payments platform serving over 600 million monthly users. Drive engineering standards, security, compliance, and performance from inception to production. Expectations: 8+ years of backend or systems engineering experience, preferably in fintech or large‑scale distributed systems. Demonstrated ability to build secure, fault‑tolerant services, manage risk in regulated domains, and influence technical direction. Strong communicator with a builder mentality and a focus on simple, robust solutions. Key Responsibilities: - Architect and develop core components of a payments infrastructure with high concurrency, scalability, and availability. - Design and implement comprehensive fraud‑prevention controls (prevention, detection, mitigation). - Lead architecture, scalability, security, and reliability decisions across the platform. - Collaborate with engineering, product, compliance, and infrastructure teams to deliver end‑to‑end functionality. - Define and enforce engineering standards: testing, monitoring, continuous deployment, and code quality. - Identify and mitigate technical risks in a complex, regulated environment. Required Skills: - Expertise in distributed system design, deployment, and operations (Kafka, Kubernetes, etc.). - Strong background in secure transaction processing and payment‑related data protection. - Knowledge of regulatory frameworks (PCI‑DSS, AML/KYC, identity verification). - Proficiency in Go, PostgreSQL, Kafka, Memcached. - Experience with high‑availability architecture, low‑latency services, and fault tolerance. - Excellent communication and influence skills. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - Certifications in security or compliance (e.g., PCI‑DSS, Certified Information Systems Security Professional) are a plus.
Palo alto, United states
On site
Senior
21-09-2025
Company background Company brand
Company Name
xAI
Job Title
Applied AI Engineer
Job Description
Job Title: Applied AI Engineer Role Summary: Design, implement, and maintain large‑scale recommendation, ranking, and search machine learning systems for a platform serving ~600 M monthly users, translating cutting‑edge research into production‑ready solutions. Expactations: Exhibit research‑engineer expertise, deliver full lifecycle AI products, ensure scalability and real‑time iteration, collaborate effectively, and communicate results clearly. Key Responsibilities: - Architect and optimize recommendation and ranking algorithms across multiple product surfaces. - Build and maintain data pipelines and training jobs using Kafka, ClickHouse, and Spark. - Deploy, monitor, and continuously improve models in production, integrating real‑time user feedback via A/B experiments. - Ensure system scalability, performance, and robustness at industrial scale. - Work cross‑functionally with product, data engineering, and research teams to transition research insights into operational systems. Required Skills: - Proven experience building recommender systems and deep‑learning models at scale. - Proficiency with DL frameworks (PyTorch, JAX). - Strong knowledge of data infrastructure (Kafka, ClickHouse, Spark). - Ability to develop production‑grade data pipelines and training workflows. - CUDA kernel development knowledge is a plus. - Excellent communication, prioritization, and teamwork abilities. Required Education & Certifications: - Bachelor’s degree or higher in Computer Science, Electrical Engineering, Mathematics, or related field. - Advanced research experience or PhD preferred. - Certifications in machine learning, deep learning, or big‑data platforms are advantageous.
Palo alto, United states
On site
28-09-2025
Company background Company brand
Company Name
xAI
Job Title
Full Stack Engineer - Enterprise Product
Job Description
**Job Title:** Full Stack Engineer – Enterprise Product **Role Summary:** Design, develop, and launch end‑to‑end AI‑enabled enterprise solutions. Own the full product lifecycle from concept through production, collaborating across product, design, and support functions. Deliver robust, user‑centric applications with strong observability, analytics, and reliability. **Expectations:** - Lead 0‑to‑1 product development for customer‑facing solutions. - Operate as a cross‑functional owner, balancing product management, engineering, design, and support tasks. - Demonstrate adaptability across multiple languages, frameworks, and platforms. - Communicate clearly and concisely with teammates and stakeholders. - Prioritize work effectively and maintain high engineering standards. **Key Responsibilities:** - Architect, implement, and maintain both backend services and frontend interfaces (React/TypeScript). - Define product requirements, create roadmaps, and manage delivery timelines. - Integrate AI models into production workflows and ensure seamless interaction with complex, “messy” enterprise systems. - Implement observability, monitoring, and analytics to ensure system reliability and performance. - Iterate rapidly with customers to gather feedback, refine features, and improve the product. - Conduct code reviews, mentor peers, and uphold best practices in software quality and security. **Required Skills:** - Proven experience delivering full‑stack, customer‑facing products from ideation to launch. - Strong proficiency in backend development (e.g., Node.js, Python, Go, Java) and frontend development with React and TypeScript. - Ability to act as product owner and collaborate across design, engineering, and support teams. - Familiarity with service observability tools (e.g., Prometheus, Grafana, OpenTelemetry) and reliability engineering practices. - Solid understanding of API design, micro‑services architecture, and cloud platforms (AWS, GCP, Azure). - Excellent written and verbal communication; ability to convey technical concepts to non‑technical audiences. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience). - No specific certifications required; relevant certifications (e.g., AWS Certified Solutions Architect, Certified Kubernetes Administrator) are a plus.
San francisco, United states
On site
01-10-2025