Member of Technical Staff [Platform]

This role is part of the Jobright TNT—a private hiring network connecting top talent with top AI startups like Perplexity, Mercor, Cresta, Suno, and 150+ more. Only select, high-signal candidates are invited and recommended directly to hiring teams.

About the Company

NeoCognition is an AI agent lab focused on expanding access to expertise through the development of specialized AI agents.

Pay

$200K/yr - $300K/yr

Why Join Us

Build the infrastructure that powers cutting-edge AI research and product development in a fast-growing startup environment.

Responsibilities

• Design, build, and maintain the core infrastructure supporting our research and product environments (cloud compute, storage, CI/CD pipelines, observability, security)
• Develop and manage internal developer tools, automation systems, and shared libraries that accelerate productivity across teams
• Build reliable systems for data management, model experimentation, evaluation, and deployment in both research and production contexts
• Define and evolve our build, test, and release workflows, ensuring seamless integration from prototype to production
• Implement and monitor observability and performance metrics across services and pipelines
• Collaborate closely with research and product teams to diagnose bottlenecks, optimize workflows, and ensure reproducibility of results
• Contribute to infrastructure strategy and architecture, helping shape how we scale as the company grows

Requirements

• Strong software engineering background with experience in infrastructure, platform, or DevOps engineering
• Proficiency with cloud environments (AWS, GCP, or similar), containerization/orchestration (Docker, Kubernetes), and CI/CD systems (GitHub Actions, Terraform, etc.)
• Experience building and maintaining developer tools, automation frameworks, or internal platforms
• Familiarity with data pipelines, job scheduling, or ML experimentation workflows
• Excellent problem-solving skills and a track record of improving developer velocity or system reliability
• Strong communication skills and ability to collaborate with both research and product engineering teams

Preferred Qualifications

• Experience with machine learning infrastructure, training pipelines, or model evaluation tooling
• Background in monitoring and observability (e.g., Prometheus, Grafana, Datadog)
• Knowledge of infrastructure as code and configuration management best practices
• Interest in designing systems that support reproducible, safe, and efficient AI development
• Prior experience in an early-stage startup or small research organization