Backend Software Engineer | Together AI · Teeming.ai
Together AI
Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services…
Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services…
OLTP/OLAP stores and data lakes (Postgres + warehouse/lake tech)
AI augmentation mindset:
You understand the state-of-the-art ways engineers use AI/LLMs to build software faster and better (e.g., coding copilots, agentic workflows, eval-driven iteration, retrieval/knowledge grounding), and you apply this thoughtfully to your own development and to the systems you build
You have engineering judgment and you understand when AI Augmentation can fail or create team dynamics issues, putting mitigation mechanisms and guardrails in place
Security and governance experience: least-privilege access, auditability, data retention, PII handling
What the job involves
Benefits
Competitive health insurance plans
Dental and vision insurance
Pre-tax flexible spending accounts
Mental health support and services
Income protection & retirement
401(k) plan
AD&D insurance
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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
Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
Participate in an on-call rotation to address critical incidents when necessary