---
title: 'Member of Technical Staff - Production Engineering at Prime Intellect'
canonical: 'https://feeny.ai/job/member-of-technical-staff-production-engineering-prime-intellect-san-francisco-8ryjswqhm6ns'
type: 'job'
last_seen: '2026-10-19'
---

# Member of Technical Staff - Production Engineering at Prime Intellect

- **Company:** Prime Intellect
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-09
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/primeintellect/ae969ec1-0f44-4289-9797-a880b05db389

## Job description

Own Your Intelligence Prime Intellect is building the open superintelligence stack: infrastructure and tools that help ambitious AI teams train, evaluate, and deploy advanced models.

## Role Impact

Platform engineering at Prime Intellect sits on the path from a research idea to a running AI workload. Your core mandate is to make every engineering team faster and safer: turn recurring infrastructure and security needs into paved roads, self-service capabilities, and guardrails that help teams move from idea to production with confidence. This is a hands-on senior role with broad technical ownership. You will write code, set platform standards, and partner directly with research, product engineering, and security to improve how services are built, shipped, and operated.

## Why This Role Stands Out

- Work at the intersection of cloud infrastructure and distributed, GPU-intensive AI workloads
- Own foundational systems in a small, senior team where technical decisions have visible impact
- Multiply the impact of other teams through secure defaults, automation, and a strong developer experience

## What You’ll Own

- Build reusable infrastructure-as-code and reliable CI/CD workflows for platform services
- Design cloud foundations spanning compute, networking, identity, secrets, and service delivery
- Develop progressive rollout, health-check, and rollback patterns for critical infrastructure
- Build self-service platform capabilities, templates, and guardrails that shorten the path from code to production
- Partner with research and product teams to remove delivery bottlenecks and turn recurring needs into reusable platform capabilities
- Define practical observability standards across metrics, logs, dashboards, and alerting using tools such as Grafana
- Define and own platform SLOs, partnering with service teams on targets, error budgets, and reliability priorities
- Turn security and compliance requirements into reusable platform controls
- Lead complex platform projects from technical design through adoption and steady-state operation

## What We’re Looking For

- 5+ years in infrastructure, platform, or security-focused engineering
- Deep hands-on experience with Terraform or similar infrastructure-as-code tooling
- Strong knowledge of cloud networking, IAM, secrets management, and CI/CD
- Experience designing secure software delivery lifecycle environments from development through production
- Production experience with Kubernetes or similar container orchestration platforms
- Ability to debug across infrastructure layers and make sound trade-offs under ambiguity
- Clear technical communication and a track record of leading cross-functional projects

## Nice to Have

- Experience operating ML/LLM training or inference infrastructure
- Exposure to GPU infrastructure and distributed systems
- Experience with zero-trust access patterns
- Experience supporting compliance or audit-readiness programs

## What We Offer

- Cash compensation $150K–$300K with significant equity
- Work from our San Francisco office or remotely from EMEA.
- Full visa sponsorship and relocation support
- Professional development budget for courses and conferences
- Regular team off-sites and conference attendance

Growth Opportunity You’ll have direct influence over the platform behind open frontier AI research and products used by ambitious AI teams. Your impact will show up in faster delivery, safer operations, and less infrastructure work repeated across teams. We value ownership, technical judgment, and engineers who turn complex problems into simple, durable systems.

## About Prime Intellect

## Company Overview
- **One-liner**: Prime Intellect provides an open, full-stack platform for companies to train, deploy, and continuously improve their own AI models through large-scale distributed reinforcement learning.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Vincent Weisser (CEO), Johannes Hagemann (CTO)

## Core Business
- **Primary industry**: AI infrastructure, open-source AI research, and agentic training platforms
- **Target customers**: B2B — enterprises and AI labs that want to train custom models without building their own infrastructure; also open-source community contributors
- **Mission**: Democratize frontier AI training by making it accessible to every company and collectively owning the resulting open innovations.

## Products & Services
- **Compute**: Access to GPU clusters (H100, H200, B200+) from 50+ providers, plus on-demand single GPU instances and reserved clusters with InfiniBand networking and SLURM/K8s orchestration.
- **Hosted Training (Lab)**: Managed large-scale reinforcement learning (RL) training without infrastructure overhead, including a 2,500+ environment hub and custom eval benchmarks.
- **Inference**: Serverless or dedicated inference for custom models, with native LoRA support and 1-click deployment.
- **Open-Source Libraries**: `prime-rl` (async RL framework), `verifiers` (environments & evals), and environment hub for collaborative development.
- **INTELLECT-3**: A 100B+ parameter Mixture-of-Experts model trained on their RL stack, achieving state-of-the-art performance for its size.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Total Funding**: $70.44M across multiple rounds (CBInsights, 2026); earlier reports indicated $20.5M in seed rounds, followed by a Series B round of $49.94M led by Founders Fund and other investors.
- **Notable Investors/Partners**: Founders Fund, CoinFund, Distributed Global, Radical Ventures, Andrej Karpathy, Clem Delangue (Hugging Face), Dylan Patel (SemiAnalysis), Tri Dao (Together AI).
- **Growth Signals**: Headcount grew 128.6% YoY to 36 employees; 24 active job postings (monthly job growth +26.3%); launched INTELLECT-3 and SYNTHETIC-2 datasets; customers include Ramp and Zap; operates in 9 countries.

## Competitive Advantages
- **Full-stack integrated platform** – compute, post-training, evals, and inference in one place, reducing the fragmentation of building and maintaining AI workflows.
- **Large-scale distributed RL expertise** – proven ability to train 100B+ models across clusters (global training via their RL stack).
- **Open-source ethos** – models, datasets, and libraries are released openly, attracting a community of researchers and developers.
- **Founding team & research edge** – strong ties to frontier AI research, with contributions like prime-rl and self-improving agent loops.

## Strategic Focus
- **Self-improving agents** – building infrastructure that closes the loop from deployment back to training, enabling models to compound performance over time.
- **Scaling RL at extreme sizes** – recent research (RL at 1T Scale) shows commitment to massive-scale reinforcement learning.
- **Enterprise adoption** – adding dedicated solutions engineers and managed workflows for corporate customers.

## Why Work Here
- **Culture**: Seeks “the most ambitious developers” and emphasizes cutting-edge research and engineering. The team includes former engineers from Together AI, Aleph Alpha, and Anyscale.
- **Remote/Hybrid**: Remote-friendly with HQ in San Francisco.
- **Growth trajectory**: Rapidly scaling company (headcount up 128% YoY) with multiple open roles across engineering, research, and go-to-market.
- **Tech stack**: Python, PyTorch, CUDA, Kubernetes, SLURM, Grafana, and a broad modern AI toolchain – opportunity to work on infrastructure-level challenges.

## Sources
1. [primeintellect.ai](https://www.primeintellect.ai/)
2. [linkedin.com/company/primeintellect-ai](https://www.linkedin.com/company/primeintellect-ai)
3. [jobs.ashbyhq.com/PrimeIntellect](https://jobs.ashbyhq.com/primeintellect)
4. [cbinsights.com/company/prime-intellect](https://www.cbinsights.com/company/prime-intellect)
5. [docs.primeintellect.ai/introduction](https://docs.primeintellect.ai/introduction)

## Other roles at Prime Intellect

- [Research Engineer - RL Infrastructure](https://feeny.ai/job/research-engineer-rl-infrastructure-prime-intellect-san-francisco-faaejgnzefb8) — San Francisco, CA
- [Research Engineer - Pretraining Data](https://feeny.ai/job/research-engineer-pretraining-data-prime-intellect-san-francisco-fbgk1zsg5rfx) — San Francisco, CA
- [Research Engineer - Data and Evaluation](https://feeny.ai/job/research-engineer-data-and-evaluation-prime-intellect-san-francisco-pbeyv35k8888) — San Francisco, CA
- [Research Engineer - Pretraining](https://feeny.ai/job/research-engineer-pretraining-prime-intellect-san-francisco-zemr10qw9rtd) — San Francisco, CA
- [Research Engineer - Inference](https://feeny.ai/job/research-engineer-inference-prime-intellect-san-francisco-1rywfz5aktgb) — San Francisco, CA
- [Research Engineer / Scientist - Reinforcement Learning](https://feeny.ai/job/research-engineer-scientist-reinforcement-learning-prime-intellect-san-francisco-14pw1t4w47jd) — San Francisco, CA
- [Member of Technical Staff - Datacenter Networking](https://feeny.ai/job/member-of-technical-staff-datacenter-networking-prime-intellect-san-francisco-nad0z4zmmdmc) — San Francisco, CA
- [Member of Technical Staff - Storage Infrastructure](https://feeny.ai/job/member-of-technical-staff-storage-infrastructure-prime-intellect-san-francisco-039n2ahf9xzy) — San Francisco, CA
- [Product Marketing Lead](https://feeny.ai/job/product-marketing-lead-prime-intellect-san-francisco-qmet74zfdsaq) — San Francisco, CA
- [Strategic Account Executive - AI Infrastructure](https://feeny.ai/job/strategic-account-executive-ai-infrastructure-prime-intellect-san-francisco-hv0skjf5w6zy) — San Francisco, CA