Tech jobs
Job listings

Software Engineer, Frontier AI Infrastructure
Build and maintain secure, cloud-native AI infrastructure for government contracts, debugging latency, pricing, and compliance while collaborating with cloud vendors and customers.

Software Engineer, Platform
Platform engineer at Scale AI designing shared internal platforms — foundational data platforms, core cloud infrastructure, and orchestration — that power its LLM/RLHF data products. Day to day is backend systems work on AWS with Kubernetes, Terraform, Temporal, Mongo/Postgres and CI/CD.

Staff Full-Stack Software Engineer, (Forward Deployed), GPS
Build and deploy full-stack AI applications for public-sector clients, integrating Python/Node.js/React with cloud infrastructure and LLM-driven systems.

Staff FullStack Software Engineer, (Forward Deployed), GPS
Lead the architecture and full-stack development of AI applications for public-sector clients, integrating Python/Node.js/React with Kubernetes and cloud platforms to deliver secure, scalable solutions.

Senior Infrastructure Software Engineer, Enterprise AI
Design and maintain multi-cloud infrastructure for enterprise AI agents, focusing on reliability, security, and observability across AWS, GCP, and Azure.

Staff Software Engineer, Enterprise GenAI
Build and scale Scale GP, an enterprise-grade GenAI platform with APIs for knowledge retrieval, inference, and evaluation, working across backend, frontend, and LLM integrations.

Staff Software Engineer, Public Sector
Builds core agentic systems for government use, including guardrails, data pipelines, and fleet orchestration, while mentoring engineers and advising senior stakeholders on technical trade-offs.

Staff Software Engineer, Full Stack - Gen AI
Staff Full Stack Engineer at Scale AI building and evolving the Gen-AI data platform that powers LLMs via RLHF, vector databases, and cloud-native infrastructure.

DevOps Engineer, Infrastructure & Security
Build and secure CI/CD pipelines for AI and government-focused products, integrating ML components into automated workflows while adhering to strict security standards.

Team Lead, ARC Software Engineering Team
Leads the ARC team to design secure, compliant backend systems and internal tools for government deployments, ensuring scalable and safe software delivery in high-security environments.

Senior Mission Software Engineer, Public Sector
Embed with U.S. government customers to design, build, and deploy AI systems that support critical missions, from prototype to production, using Python, TypeScript, and cloud platforms.

Frontier Agents Engineer (Applied AI)
Build and deploy production AI agents that combine frontier models with enterprise data and software, designing reasoning systems, retrieval pipelines, and multi-agent workflows for Fortune 100 clients.

Senior Frontier Agents Engineer (Applied AI)
Build and deploy production AI agents that automate workflows, reason over enterprise data, and integrate with customer systems using LLMs, retrieval, and traditional ML.

Staff Frontier Agents Engineer (Applied AI)
Design and deploy production AI agents that combine frontier models, retrieval, and structured knowledge to automate complex workflows for enterprise customers across industries like finance and healthcare.

Senior Software Engineer, AI Operations, GPS
Senior engineer maintaining and governing AI systems for public-sector clients, ensuring reliability, performance, and compliance with strict SLAs and governance standards.

Staff Software Engineer, RL Environments
Staff-level hands-on engineer who owns the platform and hard engineering behind Scale's RL environments for LLM training: sandboxed execution, packaging, rollout orchestration, trajectory capture, and trustworthy verifiers/graders. Core stack is Python plus another systems language, Docker/Kubernetes/gVisor/Firecracker, distributed backend systems, and LLM agent tooling.

Senior Software Engineer, Platform
Senior Software Engineer on Scale AI's Platform Engineering team, designing shared internal platforms, foundational data lifecycle, and cloud infrastructure that power Scale's LLM/RLHF products. Day-to-day is back-end distributed systems work on AWS using Kubernetes, Terraform, Docker, Temporal, MongoDB, Postgres, and CI/CD tooling.

Engineering Manager, Frontier AI Infrastructure - Public Sector
Hands-on engineering manager (50% coding/reviewing, 50% leading and coaching) for Scale AI's Public Sector Frontier AI Infrastructure team, which owns the model inference layer — networking, latency debugging, and model pricing/usage metrics on cloud-native AI infrastructure. Requires an active Secret clearance and 3-4 days/week in the DC office.