LangChain
Senior Software Engineer, Database (SmithDB)
San Francisco, CA · Senior
Sponsorship not specified$175k-$240kDetected 69 days ago
C++Distributed SystemsAzureKubernetesAgentic AILangGraphHRIS
About the role
- You'll be working on execution, storage layout, performance profiling, and scaling to trillions of traces.
- SmithDB is LangChain's internal database team.
- Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data.
Responsibilities
- Optimize for cost and speed, heavily utilizing memory and CPU profiling
Requirements
- Proficiency in systems performance analysis: memory allocation, CPU hotspots, lock contention, async runtimes.
Nice to have
- 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.
- Strong fundamentals in networking, OS concepts, and systems debugging.
- 5+ years in systems/database engineering with strong experience in a systems programming language (Rust, C++).
- Rust strongly preferred, as it is the language we use.
- Knowledge of database internals is a plus: query engines, storage systems, indexing, and compaction
Compensation
- Salary Range: $175,000-$240,000 USD
- Compensation Philosophy:
- We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
- Actual compensation and offerings will vary based on role, level, and location.
Benefits
- Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
- Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Company info
- 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, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
- About the team
- 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, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement.
- We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
- We're building a storage and query layer purpose-built for AI observability and evaluation.
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