--- title: 'Technical Writer Intern, Developer Experience (Summer 2027) at Together AI' canonical: 'https://feeny.ai/job/technical-writer-intern-developer-experience-summer-2027-together-ai-san-sahqq9k7yvzx' type: 'job' last_seen: '2026-11-06' --- # Technical Writer Intern, Developer Experience (Summer 2027) at Together AI - **Company:** Together AI - **Location:** San Francisco, CA - **Posted:** 2026-10-26 - **Last confirmed live:** 2026-11-06 - **Apply:** https://job-boards.greenhouse.io/togetherai/jobs/5271149007 ## Job description ## About the Developer Experience team The Developer Experience (DevX) team owns how developers learn and build on Together AI. We run the documentation site, API reference, quickstarts, cookbooks, and the tooling that keeps all of it accurate as the platform ships new models and features every week. We treat docs as a product and as code. Content lives in Git, publishes through Mintlify, and stays in sync with the API through CI/CD automation built on GitHub Actions. We also write for two audiences at once: the human developer reading a guide, and the AI coding agent pulling our docs into its context window. That means a house style guide built for AI-assisted authoring, structured content agents can parse, and automated review passes that check drafts against our quality bar. ## Role Overview As a Technical Writer Intern on DevX, you will write, test, and ship documentation that thousands of developers use to build with open-weight models. You'll be paired with a DevX mentor and own significant projects end to end, from scoping through launch, with real users and real metrics at the finish line. This is a hands-on, technical role. You'll run the code you document, call our APIs, and open pull requests against the docs repo from your first week. Potential projects include: - Build a closed-to-open migration kit - Make a docs section agent-ready, and prove it - Generate the CLI reference from source - Write an evaluation design tutorial series ## Responsibilities - Write clear, accurate guides, tutorials, and reference content for Together AI's inference, fine-tuning, and GPU cluster products. - Work with engineers, product managers, and researchers to understand new features well enough to explain them simply. - Use AI tools in your daily workflow, and help us improve how we use them for drafting, editorial review, and publishing. - Test every feature you document by running the code yourself, and file bugs when the product or the docs don't behave as expected. - Draft, review, and publish in a docs-as-code workflow: Git, pull requests, code review, and Mintlify. - Contribute to release notes and changelog entries as features launch. - Use page analytics, search data, and developer feedback to decide what to improve next. ## Qualifications - Currently enrolled in a bachelor's or master's program in Computer Science, Technical Communication, or a related field, graduating December 2027 or later. - Exceptional written communication: you can make a complex technical idea clear and approachable. - Working knowledge of at least one programming language (Python or TypeScript preferred) and comfort with Git source control. - Curiosity about how developers learn, and how AI is changing the way they do it. ## Nice to have - Experience calling an LLM API or building a small project with AI tools. - Familiarity with Markdown/MDX, static site generators, or docs platforms like Mintlify or Docusaurus. - Experience with CI tools such as GitHub Actions. Writing sample Your application should include one or two writing samples, representing what you think is your own best work. The subject doesn’t have to be technical, or even nonfiction—though both are a plus! For example: - A technical blog post. - A README, tutorial, or contribution to open-source docs. - A research paper. - A personal essay. - A school newspaper submission. ## 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. Internship Program Details: Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span either May 17th to August 6th or June 14th to September 3rd. ## Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $41 a hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Application Policy Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application. ## 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 athttps://www.together.ai/privacy ## About Together AI ## Company Overview - **One-liner**: Together AI is the AI Native Cloud, a full-stack platform for production AI that provides inference, fine-tuning, and GPU compute powered by cutting-edge systems research. - **Entity Type**: Private (Series C) - **Headquarters**: San Francisco, California, United States - **Founded**: 2022 - **Founders**: Vipul Ved Prakash (CEO), Ce Zhang (CTO), Tri Dao (Chief Scientist), Chris Ré, Percy Liang ## Core Business - **Primary industry**: AI Infrastructure / Cloud Computing - **Target customers**: B2B – AI-native startups (e.g., Cursor, Decagon, Eleven Labs), enterprise SaaS (Salesforce, Zoom, Zomato), and AI researchers. - **Mission**: “Significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models” — with a commitment to open and transparent AI development. ## Products & Services - **Serverless Inference**: Fast on-demand inference for open-source models with no infrastructure management. - **Batch Inference**: Asynchronous processing of massive workloads (up to 30B tokens per model) at reduced cost. - **Dedicated Model Inference**: Deploy models on dedicated GPU infrastructure for speed and control. - **Dedicated Container Inference**: GPU infrastructure optimized for generative media (video, audio, image). - **Fine-Tuning**: Fine-tune open-source models using latest research techniques (improves accuracy, reduces hallucinations). - **Accelerated Compute**: Self-serve instant clusters to thousands of GPUs, optimized with Together Kernel Collection. - **Model Shaping**: Tools to accelerate inference, model shaping, and pre-training. - **Managed Storage**: High-performance object storage and parallel filesystems with zero egress fees. - **Sandbox**: Fast, secure code sandboxes for AI app/agent development environments. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed; recent Series C reportedly doubled valuation (amount undisclosed) [cbinsights.com](https://www.cbinsights.com/company/together-4) - **Key Metric**: **Total Funding** – $1.334B (including $800M Series C announced in mid-2026) [cbinsights.com](https://www.cbinsights.com/company/together-4) - **Notable Investors/Partners**: Kleiner Perkins, NVIDIA, Salesforce Ventures, Prosperity7 Ventures (Aramco), and 29+ others across rounds. - **Growth Signals**: - Headcount grew 91% YoY to ~280 employees [linkedin.com](https://www.linkedin.com/company/togethercomputer) - Acquired CodeSandbox (Dec 2024) and Refuel.AI (May 2025) - Customers include Cursor, Decagon, Eleven Labs, AI21, Hedra, Cartesia, Salesforce, Zoom, Zomato - Published nine papers at ICML 2026; open-sourced ParallelKernelBench ## Competitive Advantages - **Full-stack AI platform** covering inference, fine-tuning, compute, storage, and sandboxes — all integrated. - **World-class research team** co-designing algorithms, kernels, and hardware (e.g., Tri Dao, co-inventor of FlashAttention). - **Open-source commitment** and contributions (models, datasets, research) build developer trust and ecosystem lock-in. - **Cost performance**: Claims 2x faster inference and 60% lower cost vs. alternatives through research-driven optimizations. ## Strategic Focus - Accelerate the shift to open-source AI by making it economically viable at scale. - Continue investing in systems research (GPU programming, kernel optimization, model shaping) to improve performance and cost. - Expand enterprise adoption through dedicated deployments and partnerships. - Grow the platform’s capabilities (e.g., managed storage, sandboxes) to reduce friction for AI-native builders. ## Why Work Here - **Culture**: Values include “Do more with less,” “Open and responsible development,” “Empower innovation,” and “Optimizers” — a research-driven, mission-oriented environment. - **Remote/Hybrid/Office**: Primarily office-based in San Francisco (251 Rhode Island Street) with employees across 16 countries. Office perks include lunch, dinner, snacks, parking/transit stipends, and relocation support. - **Benefits**: Competitive salary and equity, 401K matching, health/dental/vision insurance, flexible PTO, generous parental leave, life and disability protection. - **Engineering Culture**: Deep focus on systems research and open-source; engineers work alongside leading AI researchers (e.g., Tri Dao, Ce Zhang). Talent sourced from Apple, Google, Amazon, NVIDIA, Stanford AI Lab. - **Career Growth**: 53 active job postings (as of mid-2026); roles span ML engineering, platform engineering, research, and go-to-market. High growth trajectory offers rapid advancement. ## Sources 1. [together.ai/about-us](https://www.together.ai/about-us) 2. [together.ai/](https://www.together.ai/) 3. [together.ai/careers](https://www.together.ai/careers) 4. [linkedin.com/company/togethercomputer](https://www.linkedin.com/company/togethercomputer) 5. [cbinsights.com/company/together-4](https://www.cbinsights.com/company/together-4) ## Other roles at Together AI - [Sr. Field Marketing & Community Manager](https://feeny.ai/job/sr-field-marketing-community-manager-together-ai-new-york-ktvpck67xssg) — New York, NY - [Sr. Field Marketing & Community Manager, EMEA](https://feeny.ai/job/sr-field-marketing-community-manager-emea-together-ai-london-zv31yqscs4zq) — London, United Kingdom - [Event & Field Marketing Specialist](https://feeny.ai/job/event-field-marketing-specialist-together-ai-san-francisco-nge6b7exjfwk) — San Francisco, CA - [(Senior/Junior AI Inference Reliability Engineer, Compute Infra](https://feeny.ai/job/senior-junior-ai-inference-reliability-engineer-compute-infra-together-ai-san-ezx2bg8b6zje) — San Francisco, CA - [Senior Recruiter, G&A](https://feeny.ai/job/senior-recruiter-g-a-together-ai-san-francisco-h3zvr47skd5r) — San Francisco, CA - [Director, Debt Capital Markets](https://feeny.ai/job/director-debt-capital-markets-together-ai-san-francisco-7ryc68dwe7h0) — San Francisco, CA - [Forward Deployed Engineer, Post-Training](https://feeny.ai/job/forward-deployed-engineer-post-training-together-ai-san-francisco-57ckxj1h1nmb) — San Francisco, CA - [Growth Marketing Intern (Summer 2027)](https://feeny.ai/job/growth-marketing-intern-summer-2027-together-ai-san-francisco-m075apmcwsef) — San Francisco, CA - [Senior Counsel - Product & Privacy](https://feeny.ai/job/senior-counsel-product-privacy-together-ai-san-francisco-ng1h3afr2n1z) — San Francisco, CA - [(Staff / Senior Staff) AI Inference Reliability Engineer, Compute Infra](https://feeny.ai/job/staff-senior-staff-ai-inference-reliability-engineer-compute-infra-together-ai-2j57agj7vfjh) — San Francisco, CA