Skills & Technologies
Requirements
- Experience
- 5+ years
Benefits
Joblaze summary
The Senior Backend Software Engineer at LangChain focuses on developing and maintaining backend systems for the LangSmith observability and evaluation platform, enabling developers to monitor AI applications effectively. Key skills include proficiency in backend languages like Python or Go, along with experience in API design and high-throughput systems. This role is ideal for seasoned engineers with over five years of experience who thrive in collaborative environments and are eager to influence the future of AI observability. LangChain's growth stage and commitment to impactful contributions make it a dynamic workplace.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from LangChain's career page.
- LangChain has 101 other open roles including Enterprise Account Executive (Minneapolis), Web Lead, Commercial Sales Director - East.
- 2358 active Python roles on Joblaze right now.
- 1250 active AWS roles on Joblaze right now.
- 772 active GCP roles on Joblaze right now.
- Salary band is in line with the typical range for Backend (median ~$166,000).
Quick facts
- Is the Senior Backend Software Engineer, AI Observability & Evals Platform (LangSmith) role remote?
- No — this is an on-site role in San Francisco, CA.
- What's the salary range?
- LangChain lists $175,000–$225,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Backend Software Engineer, AI Observability & Evals Platform (LangSmith) role.
- Where is the role based?
- LangChain is hiring for this position in San Francisco, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Go, ClickHouse, Python, GCP, PostgreSQL.
- What seniority level is this role?
- LangChain targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Backend Software Engineer, AI Observability & Evals Platform (LangSmith) role at LangChain.
From the original posting
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, 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
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
About The Role
In person 5 days/week in San Francisco, Boston, MA, New York.
We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.
What You'll Do
Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows.
Collaborate on architectural decisions to ensure systems are performant and maintainable.
Optimize storage and query performance for high-volume observability and evaluation data.
Ensure system reliability through strong testing, monitoring, and alerting practices.
Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes.
Create and maintain technical documentation, including system design and API references.
Work closely with full-stack engineers, product managers, and product designers on rolling out new features.
What You'll Bring
5+ years of professional experience in backend engineering working on highly complex products
Proficiency in one or more backend languages/frameworks, ideally Python or Go
Strong understanding of API design and building reliable data services.
Experience with high-throughput or mission-critical systems.
Demonstrated ability to optimize backend services for performance and reliability.
Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure)
Strong communication skills, with the ability to collaborate cross-functionally
Customer centricity and ownership mentality
Compensation
Annual salary range: $175,000- $225,000
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. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.