9h LangChain Senior Backend Software Engineer, AI Observability & Evals Platform (NYC) New York, NY LangChain 9h Senior Backend Software Engineer, AI Observability & Evals Platform (NYC) New York, NY

Applied Methods Ltd; New York (NY); Híbrido; USD 180.000 - 240.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

Vision coverage

401(k) plan

Meals on in-office days

Descripción de la vacante

LangChain in NYC is seeking a Senior Backend Engineer to build and maintain the backend systems powering LangSmith’s observability and evals platform. You’ll work on core services for tracing, monitoring, and evaluation workflows, collaborating with frontend and product teams.

Candidates should have 5+ years of backend experience, Python or Go, and proven ability to design reliable data services, optimize performance, and operate scalable databases on AWS/GCP/Azure.

Formación

• 5+ years of backend engineering experience in complex products.
• Proficiency in Python or Go and API design.
• Experience with high-throughput systems and reliability.
• Strong database and cloud platform experience (Postgres, Redis, ClickHouse; AWS/GCP/Azure).

Responsabilidades

• Design, develop, and maintain backend services and APIs for tracing, monitoring, and evaluation workflows.
• Collaborate on architectural decisions for performance and maintainability.
• Optimize storage and query performance for high-volume observability data.
• Ensure reliability via testing, monitoring, and alerting.
• Troubleshoot production issues and perform root-cause analysis.
• Create and maintain system documentation including design and API references.
• Work with full-stack engineers, PMs, and designers on rolling out features.

Conocimientos

Backend languages (Python/Go)

API design

Observability

Performance optimization

Cloud platforms

Herramientas

PostgreSQL

Redis

ClickHouse

AWS

GCP

Azure

Descripción del empleo

# Senior Backend Software Engineer, AI Observability & Evals Platform (NYC)EngineeringNew York, NYOn-SiteFull-TimePosted today## About the role# **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**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: $180,000- $240,000**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.# BenefitsBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.