Senior Developer Productivity Engineer
Together AI is hiring a Senior Developer Productivity Engineer in San Francisco, United States. It pays $180k-$250k a year and Level rates it ; you can apply on Together AI.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include Claude, Copilot and Cursor.
- Level classifies it as a senior role.
- Level lists 83 other open roles at Together AI.
AI in this role
About the Role
At Together AI, you'll own the systems and tooling that let our engineers ship quickly and reliably: CI/CD pipelines, release infrastructure, local dev environments, and the testing systems the whole engineering team depends on.
This is a high-leverage, build-heavy role. You'll take on big projects and drive them end to end: building a full-stack release service with deployment orchestration, rebuilding the front-end build pipeline, standing up testing infrastructure that kills flaky builds. The goal is straightforward: engineers should spend their time building products, not fighting their tooling.
This is an engineering role focused on building systems, not a QA or manual testing role. You build the infrastructure that makes manual effort unnecessary.
Responsibilities
- Build and own the production systems engineers rely on: release services with deployment orchestration (canary, blue/green), reusable CI/CD pipelines, and self-service tooling.
- Build testing infrastructure: the frameworks and harnesses that make tests fast and reliable, and track down flaky tests and slow builds at the systems level.
- Build and maintain local dev environments and containerized workflows so engineers can spin up and iterate fast.
- Create starter templates and shared tooling (CLIs, codegen, IDE integrations) so teams can stand up new services in minutes.
- Be the go-to engineer for GitHub Actions and GitOps: defining problems, untangling pipeline issues, and improving how the org works with them.
- Improve front-end build tooling and developer workflows alongside product engineers.
- Work across the org to find the biggest sources of friction and fix them at the root. Document what you build so others can use it.
Requirements
- 5+ years building software in production, with a strong track record of owning systems or services end to end, from design through operation.
- Strong software engineering fundamentals. You write production-quality code and have built and operated real services, not just scripts or test automation.
- Proficiency in Python, Go, and JavaScript/TypeScript for tooling, automation, and enablement.
- Deep experience with CI/CD systems (GitHub Actions, ArgoCD, GitOps) and building scalable, reusable pipelines.
- Experience with containerized development workflows and local dev tooling (e.g., Skaffold).
- Experience building starter templates and scaffolding, with engineering teams, to accelerate new service creation.
- Hands-on experience with AI coding tools (e.g., Claude Code, Cursor, Copilot) and a habit of using them to move faster and ship more.
- A builder's mindset and strong ownership. You like creating the tools and systems other people depend on.
- Rigor in diagnosing systemic issues: flaky tests, build latency, deployment failures.
Nice to have
- Kubernetes expertise (EKS, K3s) and experience optimizing containerized builds.
- Infrastructure as Code (Terraform, Ansible, Pulumi).
- Front-end tooling familiarity (React, Next.js, Jest) to optimize front-end dev workflows.
- Monitoring and observability (Prometheus, Grafana, Honeycomb) to debug bottlenecks.
About Together AI
Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $180,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
How we rate this
Senior Developer Productivity Engineer at Together AI rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Walk me through how you've used Claude in your day-to-day work.
- What are the limits of Copilot that you've run into, and how did you work around them?
- What's a project where you used Cursor hands-on?
- Walk me through how you've used Claude Code in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Fine-tuning, Claude, Copilot, Cursor, and Claude Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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