Senior Full-Stack Software Engineer - Global AI Platform

Experteer Overview In this role you design and deliver a scalable, secure, cloud-native AI platform that enables enterprise-grade AI and agent-powered solutions. You will work with architects, data scientists, and business leaders to ensure a reliable, high-performance infrastructure that supports continuous learning, experimentation, and governance. You’ll balance innovation with regulatory compliance, shaping platforms used for diverse AI workloads and real-time agent interactions. Compensation / Benefits * Build and maintain high-performance, fault-tolerant AI platform services with automation-first delivery * Design and maintain platform infrastructure including hardware, software, and network components * Integrate Akka, AdaptiveML workflows, feature stores, model registries, and A/B experimentation * Implement AI Foundry components for orchestration, feature engineering, deployment, and governance * Develop reusable reference patterns and inner-source components meeting reliability and security standards * Create shared runtimes for multi-agent coordination, state management, and messaging * Design interoperable APIs/SDKs for data scientists and developers * Maintain and improve CI/CD pipelines and developer toolchains for compliant delivery * Evaluate new AI/ML infrastructure capabilities and prototype productivity tools * Develop and operate scalable backend services for high-traffic agent interactions and real-time flows * Use cloud-native tech (containers, orchestration, IaC, CI/CD) for reliable, cost-efficient services * Optimize runtime performance across CPU/GPU/accelerator workloads * Monitor and resolve platform issues, improving bottlenecks and reliability * Ensure compliance and security measures across the platform lifecycle * Collaborate with architects and leaders to build robust platforms across AI capability layers * Develop a holistic understanding of data, tools, and cross-team dependencies * Explore new platform solutions to improve service delivery * Perform peer reviews for code and deliverables to support continuous learning Tasks * 5+ years in software engineering * 3+ years leading AI/ML or distributed systems teams/projects * Strong expertise in Akka and event-driven microservices at scale * Hands-on experience with AI Foundry and AdaptiveML or equivalents * Proficiency in Scala or Java (Akka ecosystem) and Python for ML tooling * Experience with stream processing and data pipelines * Solid MLOps background: model registries, feature stores, ML CI/CD, Docker, Kubernetes * Cloud proficiency (AWS/Azure), Terraform/IaC, and secrets/IAM * Deep understanding of distributed systems: consistency, partitioning, backpressure, resilience * Strong communication and documentation skills * Preferred: online learning, reinforcement learning, or active learning in production * Knowledge of responsible AI, model risk and fairness/bias assessment * Performance optimization for low-latency inference; GPU/accelerator utilization * Experience in regulated industries with audit and governance requirements Key requirements * health, dental, mental health, vision benefits * short- and long-term disability * life and AD&D insurance * adoption/surrogacy and wellness benefits * retirement savings plans with employer matching * paid time off including holidays, vacation, personal, sick days

delivery * Perform peer reviews for code and deliverables to support continuous learning Tasks * 5+ years in software engineering * 3+ years leading AI/ML or distributed systems teams/projects * Strong expertise in Akka and event-driven microservices at scale * Hands-on experience with AI Foundry and AdaptiveML or equivalents * Proficiency in Scala or Java (Akka ecosystem) and Python for ML tooling * Experience with stream processing and data pipelines * Solid MLOps background: model registries, feature stores, ML CI/CD, Docker, Kubernetes * Cloud proficiency (AWS/Azure), Terraform/IaC, and secrets/IAM * Deep understanding of distributed systems: consistency, partitioning, backpressure, resilience * Strong communication and documentation skills * Preferred: online learning, reinforcement learning, or active learning in production * Knowledge of responsible AI, model risk and fairness/bias assessment * Performance optimization for low-latency inference; GPU/accelerator aaaaaaaaaz _ * Experience in regulated industries with audit and governance requirements Key requirements * health, dental, mental health, vision benefits * short- and long-term disability * life and AD&D insurance * adoption/surrogacy and wellness benefits * retirement savings plans with employer matching * paid time off including holidays, vacation, personal, sick days