LangChain
AI
SoftwareEngineer,SmithDB
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Engineer, SmithDB at LangChain. Skills: systems/database engineering, Rust, database internals, systems performance analysis, Kubernetes, distributed systems, cloud object storage. design, optimize, and harden our system. execution”
What You'll Achieve.
scaling to trillions of traces
Industry & Context.
What They're Looking For.
Must Have
5+ years in systems/database engineering, experience in a systems programming language (Rust, C++), Rust strongly preferred, as it is the language we use
Nice to Have
Knowledge of database internals is a plus: query engines, storage systems, indexing, and compaction, Familiarity with similar query execution engines is a plus, Experience with Kubernetes, distributed systems, and cloud object storage is a plus
What You'll Do.
and harden our system
performance profiling
scaling to trillions of traces
Engineer performant Rust code for ingestion and query execution
Optimize for cost and speed
heavily utilizing memory and CPU profiling
Integrate tightly with cloud object stores (S3/GCS/Azure Blob)
Deploy our distributed database services on Kubernetes (multi-tenant
Contribute to observability for the storage engine itself (metrics
How You'll Work.
Team & Collaboration
how we work together
Full Job Description
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, LangChain, LangGraph, LangSmith, and Fleet are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. About the role We're building a storage layer specifically designed for AI observability and evaluation. We're a fast-moving team looking for a systems / database engineer to help design, optimize, and harden our system. Within 6 months, we've gone from idea to production system but there is still lots to build and optimize. You'll be working on execution, storage layout, performance profiling, and scaling to trillions of traces. This role is based in San Francisco. What you'll do - Engineer performant Rust code for ingestion and query execution - Optimize for cost and speed, heavily utilizing memory and CPU profiling - Integrate tightly with cloud object stores (S3/GCS/Azure Blob) - Deploy our distributed database services on Kubernetes (multi-tenant, high throughput, low latency) - Contribute to observability for the storage engine itself (metrics, tracing, debug tooling) What you'll bring - 5+ years in sys
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