Staff Software Engineer, Core Analytics

About the TeamThe Codex Core Agent team is at the forefront of developing the foundational elements of Codex. Our mission is to enhance the agent's capabilities, expedite research efforts, and ensure these advancements are implemented effectively for our users.This involves collaborating across various systems that empower Codex to operate seamlessly in the real world. We focus on optimizing production performance metrics such as token management, latency, reliability, cost efficiency, and capacity. Our work encompasses the core execution loop and interfaces that translate models into actionable behaviors, as well as the shared infrastructure that supports other teams in leveraging Codex. Additionally, we establish feedback mechanisms that refine models and agent behaviors based on real-world usage over time.About the RoleWe are seeking passionate engineers to develop the infrastructure that fuels Codex agents in production environments. This role centers on the systems that ensure models can execute code securely, interact with various tools, complete complex, multi-step tasks, and maintain reliability and efficiency at scale.You will be responsible for designing and managing the infrastructure that supports sandboxed execution, orchestration, stateful workflows, application server and SDK boundaries, as well as model rollouts. Working at the intersection of distributed systems, developer tools, and AI, you will create the core components that enhance Codex's performance, safety, and reliability, making it easier for teams across the organization to build on its capabilities.What You’ll DoDesign and implement execution environments tailored for AI agents, incorporating features like sandboxing, isolation, and reproducibility.Develop orchestration systems for agents that handle multi-step processes and tool utilization.Create infrastructure for the execution, testing, and debugging of code generated by models.Establish state and memory systems that enable agents to maintain context during extended tasks.Optimize production metrics including tokens, latency, reliability, and cost across the Codex deployment.Assist in model rollouts, capacity planning, and managing the essential trade-offs between quality, speed, and cost to effectively handle a fleet of advanced agents at scale.Develop shared platform capabilities that facilitate the work of product teams, partner teams, and the open-source community contributing to Codex.You Might Be a Good Fit If YouPossess substantial experience in distributed systems or infrastructure engineering.Have experience building systems involving containers, sandboxing, or virtualization.Are adept at working across backend systems and collaborating with diverse teams to drive project success.

About Our TeamAt OpenAI, the Codex team is on a mission to revolutionize software engineering through cutting-edge AI technology. We are developing an AI software engineer capable of collaboration, task delegation, and proactive engagement. Our dynamic team combines expertise in research, engineering, design, and product development, continuously iterating on the Codex agent's capabilities and training the model to excel in complex software engineering tasks.The Codex team is at the forefront of creating advanced AI systems that can write code, reason about software, and serve as intelligent agents for both developers and non-developers. We manage the complete lifecycle of experimentation, deployment, and enhancement of innovative coding functionalities across research, engineering, product, and infrastructure.Codex for Teams specializes in developing products and platform functionalities that facilitate the integration of Codex into various team settings. Our cross-functional team works across the technological stack to create both engaging product experiences and essential platform capabilities. We cater to a diverse customer base, from small teams to large enterprises, and our mission is pivotal to realizing Codex as a proactive team member.About The RoleAs we expand, our goal is to transform Codex from a robust individual tool into a production-ready teammate for entire organizations. You will collaborate with internal OpenAI teams and external clients, ranging from agile startups to established enterprises, to ensure that Codex can be deployed, operated, and trusted in demanding real-world environments.With the surge in consumer adoption of Codex, enterprise demand is growing swiftly, offering exciting opportunities to enhance workflows, controls, and reliability. This team is dedicated to converting complex, real-world requirements into reliable, scalable product and platform capabilities.You will engage directly with a select group of highly involved design-partner customers, utilizing their actual deployments to identify opportunities and requirements for Codex's success within contemporary engineering organizations. These insights will inform your development work across product, infrastructure, and deployment methodologies for all teams utilizing Codex.This role encompasses end-to-end system ownership, from architecture and implementation to production operations, with a strong emphasis on both quality and speed.In This Role, You Will:Influence the evolution of Codex by understanding how teams utilize (and sometimes challenge) AI-powered software...

About Our TeamThe Codex Core Agent team is responsible for developing the foundational kernel of Codex. We focus on enhancing the agent's capabilities, expediting research, and ensuring these advancements translate into practical applications for our users.This entails collaboration across the various systems that allow Codex to function effectively in real-world scenarios, including optimizing production performance, managing token usage, minimizing latency, ensuring reliability, controlling costs, and scaling capacity. We also work on the core execution loop and interfaces that transform models into practical actions, alongside building infrastructure that supports other teams in leveraging Codex. Importantly, our feedback systems utilize real-world usage to refine models and enhance agent performance over time.About the RoleWe are seeking talented applied AI engineers to help transition Codex agents from impressive demonstrations to reliable, everyday tools. This position involves enhancing agent performance on actual software engineering tasks and bridging the gap between research capabilities and tangible real-world utility.You will collaborate closely with research teams, infrastructure, and product development to ensure that agents are not only powerful but also practical, controllable, and dependable. Your mission is to not only enhance model performance in isolation but also to translate those improvements into measurable increases in solution rates, usability, and economic value for our users.Your ResponsibilitiesDesign and refine agent behaviors across real-world coding tasks and extended workflows.Collaborate with research to create and execute evaluations that measure agent performance, identify regressions, and understand failure modes and edge cases.Enhance performance through effective prompting, strategic tool usage, context construction, and model-facing experimentation.Investigate production failures and systematically enhance stability and reliability.Develop feedback loops and data systems that integrate real-task data into our evaluation and research processes.Collaborate with product teams to shape user-facing agent experiences and the essential interfaces that support agent functions.Help define the criteria for what constitutes successful completion of complex tasks by agents.Ideal Candidate ProfileExperience in building or deploying machine learning or LLM-powered products.Proficiency in Python and familiarity with modern machine learning tools.Background in model evaluation, fine-tuning, or related areas.

About the TeamAt OpenAI, we are pioneering the future of software engineering with Codex, an advanced AI-powered software engineer designed to assist, delegate tasks, and proactively manage future challenges. Our dynamic team blends research, engineering, design, and product expertise to enhance the Codex agent harness and product, ensuring it excels in complex software engineering tasks.The Codex team is dedicated to creating cutting-edge AI systems capable of writing code, reasoning about software, and serving as intelligent assistants for both developers and non-developers. We oversee the complete lifecycle of experimentation, deployment, and refinement of innovative coding capabilities across research, engineering, product, and infrastructure.Codex Cloud is focused on developing cloud-first software engineering products and the essential platform capabilities that enable agentic experiences across OpenAI. This cross-functional team collaborates across the stack to deliver both exceptional product experiences and foundational platform capabilities.About the RoleAs a member of Codex Cloud, you will take ownership of cloud-based agentic experiences, such as code reviews and cloud tasks, alongside the essential runtime/orchestration layer for these tasks. This infrastructure transforms Codex from a code generator into a scalable AI software engineer. It provides secure, sandboxed environments where Codex can execute commands, manage files, run tests, and progressively enhance its output across real codebases—just like a human developer. Furthermore, Codex Runtime serves as the distributed systems foundation that enables numerous supervised AI agents to operate within OpenAI's and clients' data centers, addressing increasingly complex objectives over extended periods. By providing agents with a tangible working context and dependable execution environment, Codex Runtime empowers Codex to validate its modifications, debug errors, and produce production-ready results, defining how AI agents interact safely and reliably with the world's software.Your Responsibilities:Influence the evolution of Codex by analyzing actual user interactions with AI-powered software engineering, driving enhancements across product, infrastructure, and model behavior to establish Codex as a trusted collaborator for organizations.Craft comprehensive customer-facing software engineering experiences for both consumer and enterprise segments, automating and elevating the software development lifecycle.

About Our TeamJoin the innovative Codex App team, where we develop and enhance the Codex desktop application and IDE extension — the essential tools that empower developers to seamlessly engage with Codex. Our mission is to transform AI into a dependable software engineering partner within real-world workflows, facilitating code editing, task execution, change reviews, and the management of extensive projects.We operate at the crossroads of research, product development, and design, allowing us to deliver promptly, gather insights from actual usage, and iteratively improve both the user experience and the framework that connects our users to the AI model.About the RoleWe are looking for a skilled Frontend Software Engineer to create an exceptional desktop experience and advance the interface for agent interactions. This role emphasizes craftsmanship: you will collaborate closely with designers to prototype, refine, and enhance new interaction models, ultimately transforming them into robust, high-performance products.You will play a pivotal role in defining the ideal dynamics of “human ↔ agent” collaboration, determining the UI elements, how state is represented, how progress and uncertainty are communicated, and ensuring users remain oriented during prolonged and multi-step tasks.Your ResponsibilitiesDevelop and deliver sleek, high-performance user interfaces for the Codex desktop application and IDE extension.Work closely with designers to transform prototypes into high-quality production experiences (layout, motion, typography, interaction details).Refine future interfaces for agent interactions, including delegation, task timelines, status/progress indicators, handoffs, reviews, and control surfaces.Take charge of frontend architectural decisions (component systems, state management, navigation, rendering performance).Enhance quality and reliability through testing, instrumentation, and thoughtful UX design addressing failure modes.Collaborate with platform, model, and backend teams to integrate new functionalities into cohesive product workflows.Ideal Candidate ProfileDemonstrated experience with modern frontend technologies (React, TypeScript) and a strong commitment to UI excellence.Passionate about design engineering: focusing on details while maintaining project velocity.Experience in building desktop-quality products (using Electron or similar frameworks) with a focus on performance and responsiveness.Enthusiastic about tackling ambiguous challenges and rapidly iterating with design and product teams.

About Our TeamJoin the innovative Codex App team at OpenAI, where we are dedicated to enhancing developers’ workflows through our desktop application and IDE extension. Our focus is on creating seamless product experiences with an emphasis on usability, performance, and reliability.Our technology stack primarily consists of TypeScript, Node.js, and Electron, interfacing with external systems such as the Codex CLI and Rust-based app server. Crafting exceptional features involves designing clear boundaries between the user interface, local services, and native processes, ensuring the entire system is observable and resilient.Your RoleWe are seeking a Full Stack Software Engineer to help develop and enhance the systems that drive our Codex desktop application and IDE extension. In this role, you will manage workflows from the UI to the Node/TypeScript backend, coordinating with IPC/process orchestration and integrating with Rust services.This position demands a product-oriented mindset. You will be instrumental in defining workflows, selecting appropriate abstractions, and delivering features that are both fast and reliable in real-world developer environments.Key ResponsibilitiesDevelop end-to-end features for the Electron application, encompassing both UI and backend layers using Node.js and TypeScript.Create robust integrations with the Codex CLI and Rust app server, focusing on process lifecycle management, streaming output, and error handling.Manage IPC architecture, including renderer/main boundaries, message schemas, and debugging methodologies.Design systems for task orchestration, including long-running tasks, incremental updates, cancellations, retries, and state synchronization.Enhance system reliability, observability, and performance through logging, tracing, metrics, profiling, and debugging tools.Collaborate with design and product teams to translate ambiguous requirements into well-defined, deliverable workflows.Ideal Candidate ProfileStrong foundation in TypeScript and Node.js, with a passion for managing product features from inception to deployment.Experience with Electron or desktop application architecture, including understanding renderer/main separation and performance optimization.Ability to integrate with native processes/services (e.g., Rust) and design clean, testable boundaries.Familiarity with IPC patterns and a mindset geared towards distributed systems applied locally: message ordering, buffering, retries, and idempotency.Enthusiasm for learning and adapting to new technologies and methodologies.

About Our TeamThe Codex team at OpenAI is at the forefront of creating cutting-edge AI systems designed to empower users by writing code, understanding software logic, and functioning as intelligent agents for both developers and non-developers. Our mission is to redefine the landscape of code generation and intelligent reasoning, deploying these innovations into real-world applications such as ChatGPT and our API, as well as future tools tailored for intelligent coding. We engage deeply in research, engineering, product development, and infrastructure management, overseeing the entire lifecycle of experimentation, deployment, and iterative improvements on advanced coding functionalities.About the PositionAs a key member of the Codex team, you will enhance the capabilities, performance, and reliability of AI coding models through rigorous research, innovative experimentation, and systematic optimization. Collaborating with top-tier researchers and engineers, you will develop and deploy robust systems that enable millions to code more efficiently and effectively, ensuring these systems are not only powerful but also cost-efficient and ready for production.We seek individuals who possess a blend of deep curiosity, strong technical skills, and a commitment to impactful work. Whether your expertise lies in machine learning research, systems engineering, or performance optimization, you will be instrumental in advancing the state-of-the-art and translating these breakthroughs into user-friendly applications.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days per week in the office. We also provide relocation assistance for new hires.In This Role, You Will:Design and conduct experiments aimed at enhancing code generation, reasoning, and agentic behaviors in Codex models.Generate research insights to improve model training, alignment, and evaluation processes.Identify and rectify inefficiencies throughout the Codex system stack—from agent behavior to large language model inference to container orchestration—paving the way for significant performance enhancements. Develop tools to measure, profile, and optimize system performance on a large scale.Collaborate across the technical stack to prototype new features, troubleshoot complex issues, and deliver improvements to production environments.You Will Excel in This Role If You:Are enthusiastic about exploring and advancing the capabilities of large language models, particularly in software reasoning and code generation.Possess robust software engineering skills and enjoy rapidly transforming concepts into functional prototypes.Take a holistic view of performance, effectively balancing speed, efficiency, and quality.

About Our TeamJoin the Codex Deployment Engineering team at OpenAI, where we empower organizations to seamlessly integrate advanced coding tools throughout their software development lifecycle. We are more than technical partners; we are collaborators who accelerate the planning, building, and delivery of software for a diverse range of clients, from innovative startups to established global enterprises.About the RoleWe are on the lookout for a technically proficient and creatively inclined AI Deployment Engineer who is not just a user of AI coding tools but is passionate about enhancing developer productivity. In this role, you will work closely with engineering leaders and hands-on developers to create, validate, and expand advanced AI workflows. You will often leverage Codex to develop prototypes, demos, integrations, and automations that our customers will utilize.This multifaceted position blends technical architecture, product strategy, and customer engagement. Collaborating with Sales, Solutions Engineering, Product Management, Applied Engineering, and the broader Codex team, you will advocate for customer needs, influence product direction, and facilitate the successful deployment of intelligent coding systems across some of the most impactful companies worldwide.Key Responsibilities:Act as the primary technical expert on OpenAI Codex for a select group of clients, working closely with their engineering teams to enhance coding workflows.Collaborate with customers to design and implement AI-powered development workflows, from rapid prototyping to scalable production.Create high-quality demos, reference implementations, and workflow automations using Codex in your development process.Facilitate large-scale workshops, in-depth technical sessions, and hands-on training that empower engineering teams to adopt AI coding tools effectively and safely.Contribute technical content such as examples, guides, patterns, and best practices to the OpenAI Cookbook, helping the broader developer community enhance their use of Codex.Gather valuable insights from actual customer deployments and translate them into actionable product proposals and feedback for internal teams.Influence customer strategies and decision-making by illustrating how AI coding tools enhance their software development lifecycle (SDLC), technical roadmap, and organizational goals.

Join OpenAI’s Codex Team as a Senior Data ScientistAbout Our TeamCodex is an innovative first-party developer product by OpenAI, concentrating on agentic software engineering. Our mission is to create cutting-edge tools that empower engineers to design, write, test, and deploy code more efficiently and safely at scale. We work collaboratively with research and product teams to transform advancements in AI models into significant productivity enhancements for developers.Role OverviewIn the role of Senior Data Scientist at Codex, you will play a crucial part in evaluating and driving product-market fit for our AI-driven developer tools. You will define the metrics of “developer productivity” for our offerings, conduct experiments on new coding models and user experiences, and identify areas where our technology can enhance or hinder performance across various languages and tasks. Your findings will have a direct impact on how the software industry evolves.This position is located in San Francisco, CA, and we follow a hybrid work model requiring 3 days in the office weekly. We also provide relocation assistance for new hires.Your ResponsibilitiesCollaborate closely with the Codex product team to uncover opportunities for enhancing developer outcomes and fostering growth.Design and analyze A/B tests and staged rollouts of new coding models and product features.Establish and implement key performance metrics such as suggestion acceptance rates, edit distances, compile/test pass rates, task completion times, latency, and overall session productivity.Create informative dashboards and analyses that enable the team to independently find answers to product-related questions (segmented by language, framework, repository size, task type).Investigate failure modes and work with Research to identify targeted improvements (model quality signals, user feedback, evaluations).Ideal Candidate Profile5+ years of experience in a quantitative role within a developer-focused or high-growth product environment.Proficiency in SQL and Python, with a solid understanding of experimental design and causal inference methodologies.Demonstrated experience in defining product metrics that relate to user value.Strong communication skills to effectively engage with product managers, engineers, and designers, and influence product direction.Preferred QualificationsA robust programming background with the ability to prototype, run simulations, and assess code quality.Familiarity with IDE/extension telemetry or analytics related to developer tooling.Previous experience with Natural Language Processing (NLP), Large Language Models (LLMs), or code models is a plus.

Join OpenAI as a Manager of AI Deployment Engineering for our Codex team. In this pivotal role, you will lead initiatives to deploy cutting-edge AI technologies, ensuring efficient integration and transformative impact across various platforms. Your expertise will drive the development of innovative solutions that enhance user experiences and streamline operations.

ABOUT THE ROLE:As an AI Engineer at Varick, you will take charge of designing and optimizing the intelligence layer within our enterprise operations. This involves creating agent systems that efficiently handle thousands of transactions, make classification decisions, and learn from human interactions.This position is suited for engineers with extensive experience in LLMs, agent architectures, and evaluation systems. You have successfully developed agent workflows that operate in production, not merely in demo environments. Your expertise includes prompt engineering, retrieval, tool calling, multi-agent orchestration, and the evaluation frameworks necessary for deploying trustworthy AI systems in enterprise settings.WHAT YOU'LL DO:• Design and implement agent architectures that tackle complex enterprise workflows, focusing on multi-step reasoning, tool calling, and exception handling.• Develop and sustain evaluation systems that ensure agent quality, accuracy, safety, and groundedness.• Create robust prompt systems, retrieval pipelines, and context engineering strategies to ensure reliable agent performance.• Establish feedback loops that empower agents to learn from human corrections and enhance their functionality over time.• Optimize inference costs and latency for production workloads to ensure efficiency.• Define and uphold best practices for agent reliability, observability, and governance.• Stay updated with the latest models, frameworks, and research to ensure impactful deployments into production.WHAT WE'RE LOOKING FOR:• At least 3 years of software engineering experience, with a minimum of 1–2 years dedicated to LLM applications or AI systems in a production environment.• Practical experience in constructing agent workflows featuring tool calling, retrieval, and multi-step reasoning.• A profound understanding of prompt engineering, context engineering, and methods to elicit reliable behavior from LLMs.• Experience in developing evaluation systems to assess AI output quality.• Proficient in Python with a solid foundation in backend engineering principles.• You have delivered AI features to actual users and have navigated challenges such as hallucinations, edge cases, accuracy drops, and cost management.• Must be based in San Francisco.

Who We AreAt Pave, we are revolutionizing the compensation landscape with our cutting-edge platform, integrating the largest real-time compensation dataset with advanced AI and machine learning capabilities. Our innovative solutions empower over 8,500 companies to make informed, confident compensation decisions.Leading organizations such as OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo trust Pave to transform their pay strategies into competitive advantages. We manage over $190 billion in total compensation spend through our workflows, with 70% of the Forbes AI 50 utilizing Pave for compensation benchmarking.The future of pay is real-time and predictive, and we are at the forefront of this transformation. With $160 million in funding from top investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures, we are poised for rapid growth.Core Platform @ PaveThe Core Platform team is the backbone of Pave Engineering, seamlessly connecting product and platform engineering. In this pivotal role, you will take ownership of essential services, including user authentication and authorization, along with the foundational data infrastructure that fuels Pave’s compensation intelligence platform. Success in this position requires exceptional systems thinking and a proactive approach to leading large-scale initiatives across our organization.Explore our engineering principles here!

About Our TeamJoin our dynamic Core Services team, where we play a pivotal role in developing and overseeing essential services that underpin our operations. We connect core infrastructure—such as compute, storage, and networking—with product engineering teams, empowering them to innovate quickly, build with dependability, and scale effectively.Role OverviewAs a Software Engineer on our Core Services team, you will be instrumental in designing and managing vital backend platforms, including caching systems, workflow orchestration, metadata storage, and file services. Your focus will be on crafting highly reliable, scalable, and efficient systems that serve as the foundation of our product offerings.We seek individuals who are passionate about developing infrastructure that enhances product teams, relish tackling challenges in distributed systems, and take pride in creating well-architected APIs and abstractions that streamline development processes.This position is based in San Francisco, CA, utilizing a hybrid work model of three days in the office each week, with relocation assistance provided to new hires.Your Responsibilities Will Include:Designing, building, and maintaining shared infrastructure services, including caching layers, workflow orchestration (e.g., Temporal), metadata stores, and file storage solutions.Collaborating with product teams to deliver scalable and reliable primitives that simplify the complexities of distributed systems.Enhancing the performance, resilience, and scalability of core services that underpin our customer-facing applications.You Will Excel in This Role If You:Possess experience with distributed systems, caching frameworks (e.g., Redis, Memcached), metadata storage solutions (e.g., FoundationDB), or workflow orchestration tools (e.g., Temporal, Cadence).Have experience managing containerized services within cloud environments and integrating them into automated CI/CD workflows.Comprehend the trade-offs involved in consistency models, replication strategies, and performance optimization for multi-region systems.Exhibit strong communication skills and thrive in collaborative environments, with a fervent commitment to delivering exceptional customer outcomes.About OpenAIOpenAI is a pioneering organization in AI research and deployment, dedicated to ensuring that artificial intelligence serves the greater good of humanity. We strive to make transformative technologies accessible and beneficial for all.

Join Gusto as a Staff Software Engineer specializing in Core Platforms, where you will drive the development of innovative software solutions that power our platform. You will collaborate with cross-functional teams to architect and implement scalable systems that enhance the user experience for our clients. This role is essential in shaping and evolving our technology stack, ensuring that we maintain a competitive edge in the industry.

About KiddomKiddom is an innovative educational platform dedicated to fostering equity and growth in students by integrating high-quality instructional materials with engaging digital learning experiences. Our platform enables schools and districts to take charge of their curricula, resulting in personalized learning experiences that cater to the unique needs and goals of local communities. With comprehensive insights for teachers and leaders, Kiddom supports ongoing improvement in instructional decision-making, school programming, and professional development.The Systems Engineering and Core Services team is responsible for the foundational APIs, services, data storage solutions, and developer tools that ensure an exceptional product experience for our users and a seamless developer experience for our engineering teams. A typical day involves identifying challenges and collaborating cross-functionally to devise effective project plans that tackle complex problems.In this position, you will merge technical leadership with strategic influence, shaping Kiddom’s systems for scalability each academic year. You will work with programming languages like Go, TypeScript, and Python, utilizing technologies ranging from web APIs to graph databases, edge computing, and large language models (LLMs). This is a unique opportunity to spearhead technical advancements across the organization, guiding fellow engineers to achieve their best work with the tools you select and advocate for. You are exceptionally skilled at troubleshooting issues such as null pointer exceptions.Note: A set of questions is included in the application process. Failure to complete them or selecting N/A will automatically disqualify you.

Empower Every Identity, from AI to HumansAt Okta, we recognize that identity is the cornerstone of unlocking AI's potential. We secure AI by developing trusted, neutral infrastructures that allow organizations to safely navigate this transformative era. This endeavor demands a relentless commitment to addressing complex challenges with significant real-world implications. We seek builders and innovators who act with urgency and deliver excellence.The Core Engineering TeamOkta facilitates secure authentication and authorization for thousands of organizations globally, ensuring safe and seamless access for billions of logins. Our Core team is dedicated to creating software and frameworks while collaborating with infrastructure teams to achieve an exceptional 99.99% uptime for our core products.The Software Engineering Manager RoleAs part of Okta's Core Engineering team, you will lead the evolution of shared infrastructure and services that underpin all engineering efforts. Our responsibilities encompass essential shared services like search, cache, configuration management, asynchronous job management frameworks, and email pipelines. Being cloud-native, we prioritize redundancy, multi-tenancy, scalable solutions, resource optimization, and resiliency. With Okta's commitment to being 'Always On!', there is never a dull moment. Our greatest asset is our enthusiastic team of engineers and technically skilled managers.Your ResponsibilitiesLead a distributed team by setting clear expectations, removing obstacles, fostering collaboration, managing recruitment, and providing coaching and career development discussions.Collaborate with cross-functional teams including managers, architects, product owners, project managers, and security engineers to implement best practices for resilience.Effectively communicate and coordinate cross-team projects that have a significant business impact.Contribute to defining the team's strategic direction and roadmap.Develop backend frameworks and tools for organization-wide scalability.Engage in incident root cause analysis to foster continuous improvement in reliability and scaling.Provide technical mentorship to team engineers.Drive the evaluation, development, and deployment of new services.

ABOUT THE ROLE:As a Full Stack Engineer at Varick Agents, you will play a pivotal role in developing the foundational infrastructure and product interfaces that drive our agent deployments. While this position is not client-facing, your contributions will ensure that each deployment is executed with enhanced speed, reliability, and consistency.This dynamic role requires you to engage with backend services, APIs, data pipelines, and user interfaces. Your responsibilities will include creating the orchestration layer for agent execution and developing the dashboards and controls utilized by clients, ensuring that every line of code you write supports real enterprise operations.WHAT YOU'LL DO:Develop and manage backend services for agent orchestration, tool activation, and workflow execution.Design and implement product interfaces for agent monitoring, human-in-the-loop controls, and client dashboards.Construct data pipelines that integrate with various enterprise systems such as ERPs, CRMs, and data warehouses.Create internal tools that expedite deployment processes and minimize engineering time for individual clients.Ensure the reliability, observability, and performance of production systems.Collaborate closely with Frontend Developers to transform client-specific solutions into reusable platform capabilities.WHAT WE'RE LOOKING FOR:At least 3 years of experience in software engineering, specifically in building production systems.Strong understanding of backend fundamentals including APIs, databases, cloud infrastructure, and distributed systems.Proficiency in full stack development, capable of creating both backend services and the UI that interfaces with them.Production experience with Python.Familiarity with cloud infrastructures such as AWS, GCP, or Azure, including containers, managed databases, and CI/CD practices.A commitment to code quality, testing, and the deployment of stable solutions.HELPFUL EXPERIENCE:Experience integrating with enterprise systems (REST/SOAP APIs, webhooks, ETL pipelines).Knowledge of large language model APIs and agent frameworks.Frontend development experience with technologies like React or Next.js.Experience with Infrastructure as Code tools like Terraform or Pulumi.Background in building multi-tenant SaaS or platform products.Experience in startup or early-stage environments.WHY VARICK:Join an innovative team at Varick Agents where you can make a significant impact through your engineering expertise.

About UsAt Sierra, we are revolutionizing customer interactions by harnessing the power of AI to create more human-centric business experiences. Headquartered in the vibrant city of San Francisco, our reach extends globally with offices in Atlanta, New York, London, France, Singapore, and Japan.Our company culture is built on core values that drive our mission: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles guide our operations and foster a collaborative environment where innovation thrives.Founded by industry visionaries Bret Taylor and Clay Bavor, Sierra is positioned at the forefront of AI technology. Bret’s impressive background includes serving as Board Chair of OpenAI and co-CEO of Salesforce, while Clay’s expertise stems from 18 years at Google, leading groundbreaking projects in AR/VR and Google Workspace.Your RoleDevelop and Deploy Cutting-Edge AI Agents: You will design and launch high-performance, reliable AI agents that are essential for driving revenue and enhancing customer experiences. These systems are not mere prototypes; they are robust solutions actively utilized across diverse sectors including finance, healthcare, and commerce.Lead the Agent Development Lifecycle: You will oversee the entire lifecycle of AI agents, from initial conception to deployment and ongoing optimization. Your role encompasses building, fine-tuning, and evolving these agents, while setting the standard for best practices in the Agent Development Life Cycle.Collaborate with Industry Leaders: Engage directly with executives from major enterprises to tackle their most critical challenges and create transformative AI solutions. You will also collaborate with innovative startups in Silicon Valley, integrating cutting-edge technology to enhance operational efficiency.

Amplitude stands at the forefront of AI-driven analytics, empowering over 4,700 clients—including esteemed names like Atlassian, Burger King, NBCUniversal, Square, and Under Armour—to enhance their products and digital offerings. Our innovative AI Agents integrated throughout the platform enable teams to rapidly analyze, test, and optimize user experiences. Recognized as the leading solution in various categories in G2’s Fall 2025 Report, Amplitude is the premier choice for product, data, and marketing teams. Discover more at amplitude.com.As a company, we are deeply committed to delivering exceptional results for our customers by embodying our core values. We approach our work with humility, take responsibility for both challenges and successes, embrace a growth mindset, and prioritize our customers in everything we do.Amplitude’s Commitment to Diversity, Equity & Inclusion (DEI): We believe that diversity drives the creation of superior products, enhances our ability to tackle complex challenges, and leads to more impactful solutions. Our aim is to cultivate an inclusive environment that promotes psychological safety, empathy, and genuine human connection, enabling all employees to thrive.About The Role & TeamWe are seeking a Fullstack Engineer to join our Core Analytics team, responsible for our flagship analytics product cherished by countless product teams globally. You will collaborate closely with our Product Manager and Designer to conceptualize, develop, and launch end-to-end features that enhance the Analytics experience. Your contributions will significantly shape product direction and ensure the delivery of high-performance, reliable, and enjoyable user experiences.Our engineers are driven by customer needs and tackle complex data challenges to improve user experience. We prioritize delivering value quickly and iteratively. If you are passionate about crafting exceptional data-driven experiences that empower businesses to understand their customers better, we would be thrilled to connect with you.The team’s mission is to create a fast, intuitive, and dependable Analytics platform that enables customers to confidently derive insights about their products while also spearheading infrastructure initiatives that enhance and scale the platform.As a Senior Engineer, you will:Collaborate with Product Management and Design to transform innovative ideas into engineering solutions that effectively address customer challenges.Drive business impact through...