Articul8 AI

Infrastructure Engineer

• Design, develop, test, deploy, maintain, and improve cloud-based infrastructure focusing on high availability, low latency, and cost-effectiveness
• Develop automation scripts, tools, and frameworks to streamline deployment, monitoring, and maintenance processes
• Serve as subject matter expert in infrastructure when designing new products and introducing new technology
• Collaborate closely with engineering and research teams to integrate infrastructure components with product features
• Implement robust security measures to safeguard sensitive data and prevent vulnerabilities
• Analyze performance metrics, identify areas for optimization, and propose data-driven improvements
• Stay up-to-date with emerging trends, technologies, and methodologies and apply this knowledge to enhance infrastructure
• Participate in code reviews, contribute to open-source projects, and mentor junior engineers

DevOps Engineer

• Architect and maintain scalable, highly available infrastructure for our GenAI platform
• Design and implement robust monitoring, alerting, and observability solutions to proactively ensure system health and performance
• Automate deployment, scaling, and management of our cloud-native infrastructure, reducing toil and improving efficiency
• Define, measure, and improve Service Level Objectives (SLOs) and Service Level Indicators (SLIs)
• Participate in on-call rotations and provide rapid response to production incidents
• Collaborate closely with development teams to build reliable, scalable, and efficient systems for complex AI workloads
• Lead incident response efforts, conduct thorough post-mortems, and champion continuous improvement initiatives
• Optimize infrastructure for performance, scalability, and cost-effectiveness—especially for high-demand AI workloads
• Implement and enforce security best practices across all systems and environments
• Create and maintain comprehensive documentation, including runbooks and knowledge base articles

Senior Site Reliability Engineer, SRE

SDET

• Design, develop, and maintain advanced test automation frameworks that incorporate chaos engineering principles
• Create and execute chaos experiments that simulate various failure modes and edge cases in our distributed systems
• Implement monitoring solutions that effectively track system performance, resilience, and failure recovery
• Establish observability practices that provide deep insights into system behavior during chaos experiments
• Collaborate with development teams to build resilience into our applications from the ground up
• Develop metrics and dashboards to visualize system reliability and the impact of chaos experiments
• Lead post-mortem analyses to identify system weaknesses discovered through chaos testing
• Integrate chaos testing into CI/CD pipelines to validate system resilience continuously
• Mentor engineers through code reviews, technical sessions, and hands-on guidance in test automation, chaos engineering, and monitoring best practices
• Contribute to the company's overall testing strategy and quality assurance practices

Senior Software Development Engineer in Test, Chaos Engineering Specialist

AI Research Scientist

• Conduct cutting-edge research to advance the capabilities of GenAI systems; design, implement, and evaluate novel approaches to improve GenAI models.
• Work at the intersection of GenAI research and product development, taking research prototypes to production-ready systems.
• Serve as subject matter expert in GenAI domains including data pipelines; training methodologies (pre/mid/post-training) and optimization techniques; reinforcement learning for GenAI; multimodal AI (text, image, audio, video); personalization; knowledge representation and retrieval.
• Play a technical leadership role in designing, developing, and scaling novel algorithms and models.
• Partner with cross-functional teams to integrate research findings into products and maintain technological leadership.
• Monitor and analyze emerging trends in generative AI and share research via publications at conferences and journals.

Senior/Staff AI Researcher

• Serve as the subject matter expert in various domains of GenAI research and development (data pipelines, training methodologies, reinforcement learning, multimodal AI, personalization, knowledge representation and retrieval).
• Play a technical leadership role in designing, developing, and scaling novel algorithms and models from research prototypes to production-ready systems.
• Partner with cross-functional teams to integrate cutting-edge research findings into products and maintain technological leadership.
• Monitor and analyze emerging trends in generative AI and share research contributions through publications at conferences and journals.