Member of Technical Staff; Engineering - Infrastructure

We’re building the data infrastructure behind self-evolving AI systems.

Our platform acts like an AI data researcher—automating the full lifecycle of data, from sourcing and curation to validation and delivery. Given a user prompt, it discovers and acquires relevant data sources, structures and enriches them with task-specific schemas, runs rigorous quality and safety checks, and produces domain‑specific, training‑ready datasets and benchmarks.

Beyond data generation, we integrate directly with model training pipelines and production telemetry. By combining offline evaluations with real‑world signals, our system automatically identifies failure modes and capability gaps, then generates the next most impactful dataset or incremental data batch to continuously improve the model.

We’re building an inevitable data layer for enterprise AI—one that enables models to learn, adapt, and improve themselves over time.

We’re looking for a Software Engineer (Infrastructure) to design, build, and scale the core infrastructure that powers our data and AI platform. In this role, you’ll focus on large‑scale data processing pipelines, distributed systems, and cloud infrastructure that support high‑throughput, reliable, and cost‑efficient workloads.

You’ll work closely with product, applied AI, and platform engineers to ensure our systems can scale with increasing data volume and model complexity. This is a high‑ownership role where you’ll help define infrastructure architecture, make critical reliability and performance decisions, and build the foundation that enables the rest of the team to move fast.

• Design, build, and scale large‑scale data processing pipelines in the cloud
• Own cluster management and orchestration for distributed workloads
• Improve system reliability, performance, and cost efficiency across cloud environments
• Build and operate production‑grade infrastructure for high‑throughput data workloads
• Collaborate with application and ML engineers to support evolving data and training needs
• Implement monitoring, alerting, and observability to ensure system health at scale
• Diagnose and resolve infrastructure bottlenecks and production issues
• Contribute to infrastructure best practices, tooling, and operational excellence

• 3+ years of professional experience as a software or infrastructure engineer
• Bachelor’s or Master’s degree in Computer Science or a related field
• Strong experience building and scaling distributed systems or data processing pipelines
• Hands‑on experience with cloud providers such as AWS and GCP (highly recommended)
• Experience with cluster management and orchestration systems (e.g., Kubernetes or similar)
• Familiarity with cloud networking, storage systems, and compute primitives
• Experience operating production systems with an emphasis on reliability and scalability
• Ability to own infrastructure end to end, from design through deployment and operations
• Comfortable working in a fast‑paced, ambiguous startup environment

• Work on one of the hottest problems in AI
  :
  Build and scale agentic AI systems that push the frontier of what autonomous, reasoning‑driven software can do in the real world
• Own product and infrastructure end to end
  :
  Take ideas from zero → one → scale, shaping core product decisions, system architecture, and production infrastructure
• High‑growth, high‑impact team
  :
  Join a small, fast‑moving team where your work ships quickly and materially impacts customers and the company’s trajectory
• Direct collaboration with founders
  :
  Influence strategy and help define the long‑term technical and product vision
• Startup upside and velocity
  :
  Experience rapid learning, ownership, and career acceleration
• Competitive compensation and benefits
  :
  Strong salary, 401(k), and comprehensive medical, vision, and dental coverage
• Flexible work culture
  :
  Hybrid work, unlimited PTO, and a focus on trust, autonomy, and outcomes
• Inclusive and collaborative environment
  :
  We value thoughtful debate, diverse perspectives, and building great things together—without ego

Apply here:

We encourage candidates from all backgrounds to apply.

We are an equal opportunity employer and value diversity at our company.