FullStack Engineer - Observability & Evals Platform at LangSmith | San Francisco

About Us:At LangChain, we are dedicated to making intelligent agents a fundamental part of everyday technology. Our mission is to provide the essential tools for agent engineering in practical applications, enabling developers to transition seamlessly from initial prototypes to production-ready AI agents that organizations can depend on. Starting as a suite …

About Us:LangChain is dedicated to making intelligent agents commonplace. We are pioneering the foundations of agent engineering in the real world, empowering developers to transition from prototypes to production-ready AI agents that teams can depend on. Initially known for our widely embraced open-source tools, we have expanded to provide a comprehensive platform for constructing, assessing, deploying, and managing agents at scale.Our products, including LangChain, LangGraph, LangSmith, and Agent Builder, are utilized by teams delivering genuine AI solutions in both startup environments and large corporations. Millions of developers trust our technology to elevate AI initiatives at organizations such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised in our Series B funding from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are poised for continued product development and accelerating growth, where each team member plays a significant role in shaping our technology and collaborative culture.About the Role:On-site 5 days a week in San FranciscoWe are seeking a Senior Fullstack Engineer for our commercial product, LangSmith, which serves as an observability and evaluation platform. In this role, you will have the chance to influence the technical direction of our platform while engaging with enterprise clients, developer end-users, and internal stakeholders.Lead the technical architecture and implementation of essential product features for LangSmith, utilizing our entire stack of Go, Python, and TypeScript.Work closely with product and design teams to iterate and refine new features.Mentor and support junior team members, driving ambitious project timelines while upholding high engineering standards.Set an example by producing clean, maintainable, and thoroughly tested code.

About Us:At LangChain, we are dedicated to making intelligent agents a common part of everyday technology. Our goal is to provide a robust foundation for agent engineering that empowers developers to transition from prototypes to production-ready AI agents that teams can depend on. Initially starting as a widely embraced open-source toolset, we have expanded our offerings to include a comprehensive platform for the building, evaluating, deploying, and managing of agents at scale.Currently, our tools—LangChain, LangGraph, LangSmith, and Agent Builder—are utilized by teams developing real AI products in both startups and large enterprises. Millions of developers rely on LangChain to power AI initiatives at notable companies such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.Having secured $125M in Series B funding from leading investors like IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are in an exciting phase of product development and rapid growth, where every team member has a substantial impact on our projects and collaborative efforts. At LangChain, your contributions will play a crucial role in shaping how this technology manifests in the real world.About the Role:This position requires in-person attendance 5 days a week in San Francisco, CA, as well as options in New York and Boston.We are seeking a seasoned frontend engineer to innovate and improve features on LangSmith, our enterprise platform designed for LLM application observability, testing, and debugging.What You Will Do:Create new user-facing features utilizing React and TypeScript.Develop reusable components and front-end libraries for future projects.Convert designs and wireframes into high-quality, maintainable code.Optimize components for peak performance across diverse web-capable devices and browsers.Collaborate with fullstack and backend developers as well as UX/UI designers to enhance usability and experience.You’re a Good Fit If You Have:Extensive frontend engineering experience, with strong command of React, JavaScript, and TypeScript.Practical experience with frontend development tools such as Babel, Vite, Webpack, NPM, and Yarn.Familiarity with REST APIs and experience collaborating closely with fullstack and backend developers.

About SentryAt Sentry, we are committed to transforming the way developers build software. With a mission to eradicate poor software experiences, we empower developers to create better applications more efficiently, ensuring a seamless encounter with technology.Backed by over $217 million in funding and trusted by more than 100,000 organizations, including industry giants like Disney, Microsoft, and Atlassian, we are at the forefront of performance monitoring and error tracking solutions. Our innovative tools enable companies to focus on product development rather than bug fixes.We embrace a hybrid work environment across our global offices, designating Mondays, Tuesdays, and Thursdays as in-office collaboration days to foster meaningful team interactions. If you are passionate about creating solutions that enhance the digital experience, join us in developing the next wave of software monitoring tools.About the RoleAs a Senior Software Engineer on Sentry’s AI/ML team, you will play a pivotal role in constructing the evaluation infrastructure that assesses the accuracy, reliability, and performance of our AI systems in real-world scenarios. This position is essential for ensuring that our debugging agents and AI-driven features operate correctly, safely, and predictably as they scale. You will design datasets, benchmarks, and test harnesses that convert vague AI behavior into quantifiable metrics, enabling the team to deploy AI solutions with confidence.In This Role You WillDevelop and implement robust evaluation frameworks to assess accuracy, reliability, regressions, and edge cases within AI systems.Generate and manage high-quality datasets, golden test cases, and benchmarks based on real production data.Create automated test harnesses and metrics pipelines to continuously evaluate models, prompts, and workflows.Collaborate closely with applied AI engineers and product leaders to establish clear definitions of success and translate them into measurable criteria.Oversee the evaluation lifecycle for significant AI projects, from initial experimentation to ongoing production monitoring.You'll Love This Job If YouHave a strong commitment to accuracy, rigor, and measurement in AI systems.Enjoy transforming ambiguous product objectives and model behaviors into precise tests and metrics.Take pleasure in building foundational infrastructure that facilitates rapid iteration and boosts team confidence.Thrive in collaborative environments and relish the opportunity to influence model design through effective evaluation.

About Us:At LangChain, we are dedicated to making intelligent agents a fundamental part of everyday technology. Our platform serves as a robust foundation for agent engineering in real-world applications, empowering developers to transition from initial prototypes to production-ready AI agents that are dependable for teams. Starting as widely embraced open-source tools, we have evolved into a comprehensive platform for building, evaluating, deploying, and managing agents on a large scale.Our offerings, including LangChain, LangGraph, LangSmith, and Agent Builder, are trusted by teams delivering real AI products across both startups and major corporations. Millions of developers utilize LangChain to enhance AI capabilities at companies such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised in Series B funding from reputable investors like IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are poised for continued growth and innovation. Each team member plays a crucial role in shaping the technologies we develop and the collaborative culture we foster at LangChain.About the Role:This is an in-office position requiring presence in San Francisco, Boston, or New York City five days a week.We are seeking a Senior Backend Engineer to join our team. In this role, you will be responsible for developing the backend systems that drive LangChain’s observability and evaluations platform. Your work will focus on core services that enable developers to monitor and assess their AI applications on a large scale. While your primary responsibilities will involve backend feature development, experience with full-stack or frontend engineering, performance optimization, and troubleshooting production issues will be highly beneficial.Key Responsibilities:Design, develop, and maintain backend services and APIs to facilitate LangSmith’s tracing, monitoring, and evaluation workflows.Collaborate on architectural decisions to ensure systems are both high-performing and maintainable.Optimize storage and query performance for high-volume observability and evaluation data.Ensure system reliability with robust testing, monitoring, and alerting practices.Diagnose and resolve production issues, conducting root-cause analysis and implementing lasting solutions.Produce and maintain comprehensive technical documentation, including system design and API references.

At Crusoe, we are on a mission to accelerate the availability of energy and intelligence. We are building the foundational technology that empowers individuals to innovate boldly with AI while maintaining speed, scale, and sustainability.Join us in the AI revolution with sustainable technology at Crusoe, where you will lead significant innovations, make a real impact, and collaborate with a team that is pioneering responsible and transformative cloud infrastructure.About the Role:We are seeking a highly proficient engineer with extensive experience in designing and managing observability platforms at scale. You will be responsible for architecting, developing, and operating Crusoe’s next-generation observability stack, which will allow engineers to gain insights into the internal state of distributed systems through metrics, logs, and traces. Your contributions will guarantee reliability, performance, and actionable insights across Crusoe’s global infrastructure and cloud platform.Key Responsibilities:Design and manage scalable observability systems (metrics, logging, tracing) in multi-datacenter Kubernetes environments.Architect comprehensive telemetry pipelines, covering ingestion, storage, querying, and visualization.Enhance monitoring and alerting mechanisms with Prometheus, Alertmanager, Thanos/Cortex, Grafana, and OpenTelemetry.Develop scalable log collection and processing pipelines utilizing Fluent Bit, Vector, Loki, or ELK/Opensearch stacks.Implement distributed tracing platforms (Tempo, Jaeger, OpenTelemetry) and integrate with service meshes, load balancers, and APIs.Establish and promote the adoption of SLOs, SLIs, and error budgets across various services and teams.Automate the provisioning and scaling of observability infrastructure using Kubernetes, Terraform, and custom tools (Go, Python).Ensure the reliability and cost-effectiveness of telemetry pipelines while supporting high-volume workloads (AI/ML, HPC clusters, GPU infrastructure).Integrate security best practices into observability platforms, including RBAC, TLS, secret management, and multi-tenant access controls.Collaborate with engineering teams to embed observability into applications, services, and infrastructure.Mentor engineers and influence Crusoe’s observability strategy and technical roadmap.

About Us:At LangChain, we are dedicated to making intelligent agents a standard part of everyday life. Our goal is to provide the essential framework for agent engineering, empowering developers to transition their ideas from prototypes to production-ready AI agents that teams can trust. Initially launched as a widely embraced open-source initiative, our evolution has led us to offer a robust platform tailored for building, evaluating, deploying, and managing agents at scale.Our platforms, including LangChain, LangGraph, LangSmith, and Agent Builder, are now instrumental for teams delivering innovative AI solutions across diverse sectors, from startups to major corporations. Industry leaders such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, and Vanta, along with 35% of the Fortune 500, rely on LangChain for their AI initiatives.Having successfully secured $125M in Series B funding from prominent investors like IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are poised for continued growth and innovation. At LangChain, every team member plays a vital role in shaping our projects and collaborative work environment, making it a place where your input can significantly influence the future of technology.About The Role:We are seeking a dynamic Engineering Manager to spearhead the development of LangSmith, our observability and evaluation platform designed for LLM applications. In this role, you will set the technical vision, cultivate and mentor a high-performing engineering team, and collaborate closely with product and design teams to deliver features that enable developers to construct and deploy reliable AI systems with assurance.You will: Build, mentor, and expand a talented team of engineers, fostering a culture of collaboration, ownership, and accountability.Enhance LangChain’s engineering culture through mentorship, commitment to high-quality code, and technical excellence.Define long-term technical strategy and guarantee the scalability and reliability of the LangSmith AI Observability Platform.Work alongside product and design teams to outline project scope, sequence, and success metrics for key initiatives.Uphold a high standard of technical excellence while ensuring the team remains focused and operates with urgency.Lead by example in producing clean, maintainable, and thoroughly tested code using Go/Python and TypeScript.Engage directly with customers to grasp their needs and translate those insights into actionable product enhancements.

About Scribd:At Scribd Inc. (pronounced “scribbed”), we are driven by a mission to ignite human curiosity and foster knowledge sharing. Join our innovative team as we craft a world enriched with stories and insights, democratizing the exchange of ideas through our diverse products: Everand, Scribd, Slideshare, and Fable.This job opening represents a confirmed, active position within our organization.We cultivate a culture where authenticity and boldness thrive; where we engage in meaningful debates and embrace unexpected challenges. Every team member is empowered to take initiative as we prioritize our customers' needs.Our workplace philosophy emphasizes a balance between individual flexibility and community engagement. With our Scribd Flex benefit, employees can collaborate with their managers to choose a work style that suits their personal needs. Key to Scribd Flex is our commitment to intentional in-person interactions, which are vital for fostering collaboration, culture, and connections. Thus, occasional in-person attendance is expected from all Scribd employees, regardless of their remote work location.What do we seek in our new team members? We value “GRIT”—the combination of passion and perseverance toward achieving long-term goals. At Scribd, we recognize the potential this mindset unlocks and encourage our employees to embody a GRIT-ty approach in their work. This means setting and achieving Goals, delivering Results in their responsibilities, contributing Innovative solutions, and positively influencing our broader Team through collaboration and a constructive attitude.Join Our Growth Platform TeamThe Growth Platform team at Scribd empowers marketers, lifecycle teams, and partner channels by providing MarTech solutions that enhance efficiency, enable data-driven decisions, and support scalable user acquisition across our brands: Scribd, Everand, SlideShare, and Fable.Our focus is on building and maintaining robust systems that facilitate campaign execution, optimize landing pages, manage tracking and attribution, and integrate with third-party tools for cross-channel marketing and analytics. We prioritize scalability, performance, and reliability, ensuring our partners have the necessary tools to drive user growth. Our team values collaboration, pragmatic solutions, and a commitment to continuous improvement.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are reliable, interpretable, and controllable. Our mission is to ensure that artificial intelligence remains safe and beneficial for individuals and society at large. Our rapidly expanding team comprises passionate researchers, engineers, policy experts, and business leaders collaborating to create positive AI solutions.About the TeamAs the scale of AI training and deployment increases, so does the volume of data that requires monitoring and comprehension. Our team utilizes Claude to interpret this data effectively. We manage an integrated suite of tools that empowers Anthropic to pose open-ended inquiries, identify unexpected patterns, and maintain significant human oversight over extensive datasets.Our tools are widely utilized internally, driving ongoing enforcement, threat intelligence investigations, model audits, and much more. We are seeking skilled engineers and researchers to enhance existing applications and innovate new ones from the ground up.About the RoleAs a Research Engineer on our team, you will design and develop systems that enable AI to analyze vast, unstructured datasets—think tens or hundreds of thousands of conversations or documents—and generate structured, reliable insights. You will engage with the entire technology stack, from foundational analysis frameworks to user-facing applications and interfaces.This is a high-impact position. The tools you create will be utilized by numerous researchers and investigators, directly influencing our capacity to assess and counteract both misuse and misalignment.

Join DigitalOcean as a Senior Observability Engineer, where you will play a critical role in enhancing our monitoring and observability platforms. Your expertise will help us ensure that our systems are performant, reliable, and scalable, providing a seamless experience for our customers.

About SprigSprig is revolutionizing experience research with its AI-driven successor to traditional survey tools such as Qualtrics, Medallia, and SurveyMonkey. We envision a future where experience research is efficient, smart, and seamlessly integrated into the product development process.Our mission is to simplify deep customer understanding, making it continuously accessible. With Sprig, product teams transition from guesswork to clear insights, utilizing AI to unveil critical data, streamline workflows, and empower teams to deliver outstanding customer experiences in real-time.Renowned companies like Notion, Figma, Coinbase, and TripAdvisor leverage Sprig to foster deeper customer relationships. We are rapidly scaling towards $100M ARR, introducing innovative AI-driven features, and broadening our influence among the world’s leading companies.If you thrive on ambitious concepts, fast-paced growth, and the chance to reshape an entire industry, we invite you to connect with us.About the RoleAs part of Sprig's mission, we are assembling a top-tier product experience platform that empowers leading businesses to gain comprehensive insights into user interactions with their products at scale. The Core team is responsible for the complete experience of developing studies and deploying them across client applications using an installable client-side SDK.Our fullstack engineers play a crucial role in designing and implementing features across a JavaScript SDK client, managing APIs that handle thousands of requests per second, and creating an intuitive user interface for study creation. You will oversee web application releases and SDK versions across multiple platforms, prioritizing an optimal developer experience for thousands of developers utilizing our tools.Your contributions will reach millions of users globally.This position is based in San Francisco, requiring three days of in-office work.

Join Scale AI as a passionate and technically adept AI Research Engineer within our Enterprise Evaluations team. This pivotal role is integral to our goal of providing the industry's leading Generative AI Evaluation Suite. You will actively contribute to the foundational systems that guarantee the safety, dependability, and ongoing enhancement of LLM-driven workflows and agents for enterprise clients. The perfect candidate will possess a robust understanding of large language models, a fervor for addressing intricate evaluation dilemmas, and the ability to excel in a fast-evolving research atmosphere. We seek an engineer who can innovate, remains informed about the latest studies in AI evaluation, and is enthusiastic about incorporating cutting-edge research concepts into our workflows to create top-tier evaluation systems.

About the RoleHinge Health is a leading digital health company dedicated to delivering innovative, evidence-based solutions for musculoskeletal (MSK) pain management. Our unique approach combines personalized exercise therapy with virtual care, empowering individuals to effectively manage chronic pain and enhance their quality of life, all while reducing healthcare costs. By partnering with employers and health plans, we aim to scale our solutions and improve overall employee health and productivity.Join our dynamic AI platform team at Hinge Health, where we are at the forefront of revolutionizing how businesses harness the power of Artificial Intelligence. We are searching for a Senior Software Engineer with a robust background in software engineering and a passion for AI to contribute to our mission.As a Senior Software Engineer, you will play a crucial role in developing and maintaining vital components of our AI infrastructure. You will collaborate closely with engineers and data scientists to ensure the platform effectively supports the intricate needs of AI models and machine learning workflows.Our team thrives in a continuous deployment DevOps culture, taking pride in maintaining high standards of code in production. Our production systems leverage technologies such as React Native, React, Node.js, TypeScript, Python, Nestjs, GraphQL, Docker, AWS, Postgres, Redis, Apollo, and Redux. We follow a trunk-based CI/CD workflow and uphold the highest security and compliance standards, including HIPAA, HITRUST, SOC 2, and CCPA.What You'll AccomplishCollaborate with the AI/ML team to effectively integrate models and agents into the platform, ensuring seamless deployment.Write clean, maintainable code with a focus on performance, reliability, and scalability.Develop and sustain APIs and microservices that facilitate AI model and agent deployment and data processing.Troubleshoot and resolve platform performance, integration, and reliability issues.Work alongside cross-functional teams to gather technical requirements and deliver efficient solutions.Contribute to ongoing improvements in the AI platform’s systems and workflows, providing ideas and feedback during architectural discussions.Hinge Health Hybrid ModelWe recognize that both remote and in-person work offer unique benefits, and we aim to capitalize on the strengths of both approaches. Employees in hybrid roles enjoy the flexibility of working from home while also engaging in person as needed.

Quizlet, Inc. supports millions of learners each month by combining cognitive science with advanced machine learning. The platform serves two-thirds of U.S. high school students and half of college students, powering over 2 billion learning interactions monthly. Quizlet’s mission centers on making education more personal and effective for students, professionals, and lifelong learners. The AI & Data Platform team underpins Quizlet’s applied AI initiatives. This group develops and maintains the systems behind personalization, recommendations, the AI Coach, content generation, and emerging agentic experiences. The team oversees the full machine learning model lifecycle: data and feature engineering, training, evaluation, deployment, and inference. Reliability, speed, security, and observability guide their work. Their approach blends managed Google Cloud services, top vendor tools, open-source solutions, and custom internal abstractions to achieve efficient, reliable outcomes. Role overview The Senior Staff Engineer, AI Platform, is a senior individual contributor who defines the technical direction for Quizlet’s next generation of machine learning and large language model infrastructure. This hands-on role involves architecting core platform systems, steering build-versus-buy decisions, and collaborating with teams across Applied AI, Data Science, Product Engineering, and Infrastructure. The position sets standards for how models and LLM-driven systems are trained, evaluated, deployed, and governed at scale. This role is well suited to an engineer who excels at the senior-staff level in large organizations but values the autonomy and impact of a smaller, cloud-native setting. The technology stack includes Google Cloud, Kubernetes and GKE, distributed training, MLflow workflows, data and feature platforms, online and asynchronous inference, and the evaluation and observability tools needed to operate predictive ML and LLM systems at scale. Work location and schedule This is an onsite position based in San Francisco, CA. Team members are expected in the office at least three days a week: Monday, Wednesday, and Thursday, to foster collaboration.

Become part of the innovative engineering teams at OpenAI, where we create and deliver groundbreaking AI technologies responsibly and safely to the world!Our Applied Engineering team collaborates across research, engineering, product, and design disciplines to deploy OpenAI's cutting-edge technology for both consumers and businesses. We are committed to learning from our deployments and ensuring that AI is utilized ethically while maximizing its benefits. To us, safety takes precedence over unchecked growth.About the RoleWe are in the process of developing OpenAI's observability product, which encompasses everything from scalable infrastructure to an intuitive, AI-enhanced user interface. Our systems process petabytes of logs and billions of time series metrics throughout our infrastructure. We are now integrating intelligence to create features like agents that summarize service events, auto-generate dashboards, and assist engineers in debugging through user-friendly notebook-like interfaces.We are looking to hire software engineers at all levels of our stack—be it infrastructure, backend, or product. You will be part of a dynamic, resourceful team that develops both foundational infrastructure and innovative internal tools, ensuring the reliability, performance, and observability of OpenAI's production systems.What You’ll DoLead the development of core observability infrastructure, focusing on distributed logging, time series, and trace storage.Create AI-integrated tools that empower engineers to autonomously identify, comprehend, and resolve issues.Enhance user interface experiences including dashboards, notebooking, and interactive debugging.Work collaboratively with engineers, researchers, user operations, and various teams to craft the next generation of the observability product.You Might Be a Fit If You:Have experience operating large-scale distributed systems in production, particularly logging systems or time series databases.Excel in ambiguous environments and tackle unscoped challenges head-on.Possess full-stack development skills or a strong product sensibility; you are eager to build practical tools that users will engage with.Demonstrate robust knowledge of systems, networking, and cloud infrastructure (Kubernetes, AWS, etc.).Bonus: Have built or contributed to observability systems (e.g., Prometheus, OpenTelemetry, etc.).Why This Team?We combine infrastructure and product development to create real AI applications for in-house use.Your contributions will directly enhance the reliability of GPT-based products at OpenAI.

Join Anthropic as a Staff+ Software Engineer specializing in Observability, where you will play a crucial role in enhancing our systems to ensure high-performance and reliability. Collaborate with cross-functional teams to develop innovative solutions, implement observability metrics, and drive improvements that enable better decision-making and user experiences.

About Engineering at Ivo Ivo engineers have led the way in legal technology, introducing several industry firsts: AI agent for automated editing in MS Word (2023) Agentic RAG approaches replacing traditional embedding models (2023) Large-scale legal fact extraction powered by LLMs (2024) Legal assistant for accurate search across vast contract databases (2024) Clustering of related legal documents from the same family (2025) Automated deviation analysis to surface hidden risks in large contract sets (2025) Combining contracts and amendments into time series of composite contracts (2025) Role Overview The Senior Fullstack Software Engineer will design, build, and launch generative AI products that reshape legal workflows. This role covers both front-end and back-end development, with a focus on scale and reliability. Develop full stack generative AI features Deliver performant user interfaces and backend systems capable of processing and analyzing millions of contracts Create data pipelines that coordinate LLMs, extraction, and clustering algorithms Work closely with designers, legal experts, and engineers to change how legal teams operate with AI Our Mission Most major businesses have in-house legal teams who face heavy workloads, tight deadlines, and the repetitive task of reading contracts. Until recently, technology offered little relief. With LLMs, Ivo aims to give lawyers back their time. The mission: restore work-life balance for legal professionals by automating legal tasks through an AI-native platform. Ivo’s software is highly regarded in the industry. Despite strong competition, the company holds an 85% trial win rate, the highest in the field. The team is committed to making a real difference, and there is much more ahead. Why Join Ivo Engineers at Ivo care deeply about code quality and the impact of their work. The team values solutions that make a tangible difference in people’s lives. Location San Francisco

About the RoleJoin us in revolutionizing audio and video content creation with our cutting-edge AI-powered platform and web application. As a Senior Software Engineer on our AI Platform and Enablement team, you will tackle complex technical challenges to develop innovative solutions for recording, transcribing, editing, and mixing audio and video online.About the TeamYour team is dedicated to integrating state-of-the-art first-party models developed by our in-house AI Research team, as well as utilizing third-party and open-source AI models into the Descript product.In this dynamic role, you will:Create, maintain, and standardize third-party model integrations while providing consultation to other engineering teams needing AI model integration.Design, implement, and sustain our AI infrastructure, supporting the machine learning lifecycle, including data ingestion pipelines, developer experience infrastructure, evaluation frameworks, and GPU deployments.Collaborate closely with Product Managers, Research Engineers, and AI Researchers to address their infrastructure needs and ensure our AI systems are robust, scalable, and efficient.Optimize and scale our models and algorithms for effective inference.Deploy, monitor, and manage AI models in a production environment.

About the Role Sigma Computing is growing its engineering team in San Francisco, CA. The company builds technology to help users access data with ease. As a Senior Software Engineer focused on Observability and Reliability, you will work alongside engineers who value high standards and collaboration. What You Will Do Design and build observability platforms and tools, including metrics collection, logging, distributed tracing, dashboards, alerting, and application performance monitoring. Work with technologies such as Go, OpenTelemetry, and Kubernetes to solve reliability challenges. Take part in on-call rotations to help maintain strong uptime for Sigma’s services. Create tools and processes to improve cloud incident triage and reduce downtime. Define and promote practices that make systems and services measurable and observable. Join design and code reviews with peers and stakeholders to reinforce quality and effective collaboration.

Join our innovative team at AfterQuery as a pivotal Fullstack Software Engineer, playing a crucial role in developing data infrastructure that will influence the next generation of frontier models. As one of our first hires, you will take on significant responsibilities, managing projects from inception to completion, allowing you to witness the immediate impact of your work.About AfterQueryAfterQuery is a cutting-edge research lab dedicated to exploring the frontiers of artificial intelligence through innovative datasets and experimental approaches. We serve top-tier foundation model labs and leading AI research facilities.Located in San Francisco, CA, we have secured funding from prestigious investors, including Y Combinator and BoxGroup, along with notable figures from Google DeepMind and Meta GenAI, among others.Our founding team comprises experts from renowned organizations such as Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, and Stanford's AI laboratories.Why You Should ApplyExceptional Growth Potential: As one of the fastest-growing companies from Y Combinator, we aim to redefine industry standards.Founding Position: You will have the opportunity to shape our data infrastructure from the ground up.Equity and Advancement: Competitive salary and equity options, with opportunities to lead and develop an engineering team as we expand.Collaborative Environment: Work alongside a talented founding team with expertise from top firms.Your ResponsibilitiesDesign and scale intricate data capturing workflows across web technologies (Next.js) and desktop applications (Python).Develop and optimize robust data pipelines capable of handling high throughput and significant data loads.Collaborate with the founding team to outline product strategy and deliver features rapidly.Establish engineering best practices and set the foundation for future team expansion.QualificationsStrong proficiency in JavaScript (Next.js) and Python, with proven experience in developing full-stack web applications.Familiarity with serverless architecture and cloud functions for extensive data processing (GCP/AWS).Hands-on experience with storage solutions, caching (Redis), and search capabilities (Elasticsearch).