togetherai
Backend Software Engineer — Data Platform & AI Data Products
At a Glance
- Location
- San Francisco
- Experience
- 6+ years
- Compensation
- r this full-time position is: $160,000 - $240,000 + equity + benefits. Our sala
- Posted
- 2026-03-11T16:53:55-04:00
Key Requirements
Required Skills
Certifications
- SAFe
Domain Knowledge
- Engineering
Benefits & Perks
on, startup equity, health insurance and other competitive benefits. The US
Requirements
6+ years building production backend systems (distributed systems, APIs, data services).
Strong skills in at least one backend language (e.g., Go, Python, Java, Rust) and API design (REST/gRPC).
Demonstrated ability to own services end-to-end: design docs, implementation, testing, deployment, on-call, and iteration based on real usage.
Strong engineering fundamentals: clean, maintainable code, thoughtful abstractions, strong design patterns, and systems that are easy to evolve.
Solid data modeling and query skills (SQL) and experience with at least one of:
Streaming/eventing (Kafka/PubSub/Kinesis, etc.)
Compensation & Benefits
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Responsibilities
You’ll join the Data Platform team, responsible for building the backend services and “data products” that power how data moves through the company. We create the core platform primitives - high-quality event streams, reliable access layers, and developer-friendly APIs/tools - so teams across the org can self-serve what they need and ship faster. You’ll design, build, and run backend services that create value from our company data, and make our data platform more self-serve (DIY)- so product and engineering teams can easily create and operate event-driven architectures, publish/consume streams, define access models, and ship data products end-to-end. You’ll also build LLM-adjacent services such as prompt categorization/taxonomy, enrichment, and metadata systems that turn raw telemetry into trusted, usable products.
Identify, design, and develop foundational data infrastructure components capable of handling millions or billions of events daily
Analyze and improve the robustness and scalability of existing data processing infrastructure
Partner with product teams to understand functional requirements and deliver solutions that meet business needs
Write clear, well-tested, and maintainable infra-as-code and software for both new and existing systems
About the Company
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.