Why Choose Flux?At Flux, we are transforming the landscape of hardware development by pioneering the world's first AI Hardware Engineer. Our mission is to democratize access to cutting-edge hardware creation and transform the way electronics are designed and manufactured globally.About the RoleWe are on a quest to build the first AI Hardware Engineer, software capable of designing tangible, manufacturable electronics from simple prompts. As a Senior Software Engineer focusing on Agentic Development, you will be responsible for creating the system's intelligence, developing agentic workflows, reasoning graphs, and integrations that empower both novice and experienced engineers in their journey from concept to manufacturable hardware.This position fuses advanced web engineering with AI systems design. You will leverage TypeScript and LangGraph within the Flux web application and backend platform, embedding intelligent features directly into the design environment.Key ResponsibilitiesDevelop and implement agentic reasoning capabilities using TypeScript (LangGraph).Integrate AI functionalities into the Flux web application (React/Redux) and Chat UI.Implement telemetry and logging for monitoring runtime health, performance, and cost efficiency.Collaborate closely with product and electrical engineers to refine intelligent ECAD workflows.Conduct evaluations and translate insights into engineering decisions.Contribute to the development of agentic patterns, conventions, and best practices within the engineering organization.Required Qualifications8+ years of experience in software engineering, with at least 1 year in developing generative-AI or agentic systems.Proficient in TypeScript, React, and Node.js.Experience with LangChain, LangGraph, or similar orchestration frameworks.Proven track record in building asynchronous, distributed systems in a production environment.Experience in integrating LLM-based systems into complex user-facing web products.Strong communication skills and comfort working in a fully remote, asynchronous team setting.Previous experience in a startup or in 0→1 product development environments.Preferred QualificationsFamiliarity with retrieval systems, evaluation pipelines, or agent benchmarking.

About DecagonDecagon stands at the forefront of conversational AI, empowering brands to create unparalleled customer experiences. Our platform enables leading enterprises such as Avis Budget Group, Block’s Cash App, Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that facilitate personalized, engaging interactions across voice, chat, email, SMS, and beyond.We envision a world where customer interactions transcend traditional support tickets and hold music, fostering quicker resolutions, richer dialogues, and stronger relationships. Our esteemed investors, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, share this vision and support our mission.As an in-office company, we are united by our commitment to excellence and rapid execution. Our core values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — guide our collaborative work environment and team growth.About the TeamThe Agent Orchestration team is responsible for developing the foundational execution layer that drives every agent interaction. We create systems that coordinate model reasoning, assess agent behavior, and ensure reliability in real-world customer scenarios. Our focus on accuracy, dependability, and speed enables Decagon agents to plan, decide, and act effectively across millions of interactions.About the RoleAs a Senior Software Engineer on the Agent Orchestration team, you will design and develop systems that govern the performance of Decagon agents in real-world conditions. You will tackle complex challenges associated with distributed systems and lay the groundwork for enhancing agent performance, reliability, and quality.This role offers significant autonomy and the opportunity to make a direct impact on the architecture of one of the most sophisticated agent platforms globally.In this role, you will:Develop the execution engine that supports intelligent agents at scale.Design systems that synchronize model reasoning and actions while maintaining speed and accuracy.Enhance reliability through improved testing, observability, and safety measures.Establish foundations that enable teams to evaluate and enhance agent behavior safely and continuously.

Join Decagon as a Senior Software Engineer specializing in Agent Development. In this pivotal role, you will be responsible for designing, implementing, and optimizing software solutions that enhance our agent systems. You will collaborate with cross-functional teams to drive innovative projects, ensuring the highest quality and performance of our applications.

About Tenable:Tenable® is at the forefront of Exposure Management. With 44,000 organizations worldwide counting on us to mitigate cyber risk, we empower 65% of the Fortune 500, 45% of the Global 2000, and numerous governmental agencies. Join us in redefining the cybersecurity landscape!Why Choose Tenable?When you ask our team about what makes Tenable a fantastic workplace, the answer is simple: our people! Together, we innovate cutting-edge cybersecurity solutions, fostering a culture of inclusion, respect, and excellence. As part of the #OneTenable team, you'll collaborate with some of the industry's most talented professionals while having access to the resources necessary to make a meaningful impact. We strive to deliver exceptional results and celebrate our victories together!Note: Applicants must be authorized to work in the U.S. without sponsorship. We currently cannot sponsor work visas.Location: Must reside in or be willing to relocate to the San Francisco/San Jose area.Your Role:At Tenable, we're not just creating exceptional products; we're cultivating a premier engineering culture dedicated to hiring top talent. We are seeking a Senior Software Engineer to be part of a pioneering initiative within our engineering team. In this role, you will design and implement the Agentic AI Platform, an orchestration layer that empowers autonomous agents to reason, plan, and execute intricate security workflows within our Exposure Management ecosystem.This role is highly hands-on and has a significant impact. You won't merely be utilizing LLMs; you'll be constructing distributed systems, state machines, and tools that transform generative models into reliable, enterprise-grade agents.While this role is primarily remote, occasional in-person meetings may be necessary.Your Opportunity:Construct the Agentic Backbone: Design and implement backend services that facilitate multi-agent workflows, enabling AI agents to break down complex user requests, manage states, and execute tasks across distributed microservices....

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.

Join Aircall as a Senior Software Engineer specializing in AI Voice Agents, where you'll play a pivotal role in designing and implementing innovative voice solutions. Your expertise in software development and artificial intelligence will help us enhance customer interactions through cutting-edge technology.

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.

Join our innovative team as a Senior Software Engineer, where you will integrate traditional software engineering with agent management and system development.At Gravity Climate (gravityclimate.com), we are leaders in carbon and energy management. Our cutting-edge product empowers businesses to accurately measure their carbon footprints, ensure compliance with regulations, and optimize energy consumption to achieve significant cost savings while minimizing emissions. Major players across various industries—including finance, technology, consumer goods, and manufacturing—trust Gravity to manage their carbon reporting and energy efficiency initiatives. With a robust funding foundation and a new office in the vibrant Jackson Square area of San Francisco, we are experiencing tremendous growth.This is a critical moment at the intersection of technology and environmental responsibility, and we are seeking visionary engineers who are passionate about the future of software development.Key Responsibilities:In this hybrid role, you will not only be responsible for delivering high-quality software but also for mentoring and guiding a team of agents in the development process. You will utilize tools such as Opus 4.5 through Claude Code & Conductor, focusing on code refinement and continuous improvement. While prior experience with these tools is not mandatory, a willingness to learn and adapt is essential. You will also manage context switching effectively to maintain productivity.Additionally, you will contribute to the establishment of our software development infrastructure. This involves refining system prompts, developing automated verification mechanisms for code self-assessment by agents, and creating specialized skills for our agents that align with our codebase and domain expertise—this is how we achieve scalability and efficiency.Your role will also include staying abreast of emerging technologies, ensuring that we remain at the forefront of innovation. For instance, understanding the significance of Claude Code and Opus 4.5 will be critical for our competitive advantage.Finally, your expertise in agentic frameworks, evaluations, and best practices will ensure that the Gravity Agent remains the most effective tool available for our clients.Why Choose Gravity?Navigating the complexities of carbon accounting requires exceptional data models, and we have established ourselves as the best in the industry due to our automation capabilities. Our success is driven by our commitment to innovation and sustainability, making this an exciting time to join our team.

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.

About the RoleHex Technologies is seeking experienced Senior and Staff-Level Fullstack Engineers who are passionate about contributing to our revolutionary Magic AI features.At Hex, we are dedicated to developing integrated AI functionalities that enhance and expedite analytics workflows. The potential here is extraordinary, and we are in a unique position to transform how individuals interpret and utilize data.In this position, you will spearhead the integration of AI-driven features into the Hex platform, collaborating closely with our Research Team for context and model prompting, as well as with other product engineering teams for seamless integration. Your efforts will significantly alter the data interaction experience for thousands of users, placing you at the forefront of one of the most exciting technological evolutions of our time. As a member of our Agent Platform Team, you will manage the scalable infrastructure that powers today's most advanced data agents and the innovative experimentation tools that enable rapid development of new AI features.

About the RoleJoin us in creating a cutting-edge AI-driven platform and web application designed for the seamless and rapid generation of audio and video content. Our mission is to revolutionize how users can record, transcribe, edit, and mix multimedia online, presenting us with unique technical challenges that require innovative solutions. We are seeking talented Software Engineers at both the senior and staff levels to fill several positions on our Agent team, dedicated to shaping the future of Agentic Video Editing!About the Team:Since launching in Open Beta in July 2025, the Agent team at Descript has been focused on enhancing user experiences for chat-based editing, expanding our agent's capabilities, and refining our infrastructure to support the ongoing advancement of AI models. Our team comprises AI Researchers and Software Engineers who are passionate about making video editing accessible to everyone. Collaborate with peers located in San Francisco, New York, and across the US and Canada.This role is perfect for you if you're excited about:Pushing the boundaries of quality in video editing agents through experimentation (e.g., tool design, token/context optimizations, reinforcement learning, multimodal capabilities).Creating an exceptional product experience for agentic video editing interactions that boosts user retention (e.g., refining prompt templates, addressing user feedback, implementing essential product features like chat history).Establishing a top-notch developer experience for building agents (e.g., logging systems, evaluation frameworks, online monitoring, and feedback loops).

Scale GP is at the forefront of enterprise Generative AI, offering cutting-edge APIs and infrastructure for knowledge retrieval, inference, evaluation, and intelligent automation. We empower critical workflows for leading enterprises, transforming intricate data and models into dependable, production-ready AI systems. Join our newly formed Agentic Data Products team, dedicated to creating the next generation of agent-powered tools that seamlessly integrate AI into real operational workflows. Our mission is to enable enterprises to unravel their data layers and deploy intelligent systems capable of reasoning, acting, and delivering measurable outcomes. This is a pioneering build team, and we are seeking a highly skilled, product-focused Senior Engineer who thrives in dynamic environments, acts swiftly, and relishes the challenge of constructing new systems from the ground up in collaboration with customers and cross-functional teams. You will partner closely with product managers, forward-deployed engineers, data scientists, and applied AI specialists to transform real-world challenges into scalable, production-ready solutions. If you have a passion for rapid delivery, accountability for outcomes, and enjoy working across the entire stack—from sleek front-end applications to robust distributed backends and LLM integrations—this role is perfect for you.

About the RoleIn this pivotal position, you will spearhead the complete development of our core agentic workflow engine and Copilot—an innovative AI assistant designed to facilitate developers in creating and troubleshooting workflows through natural language, transforming abstract intentions into actionable, dependable agents. This role encompasses our backend (Next.js), orchestration layer, and all integrations with LLMs and external APIs.As the current leading tool for constructing workflows using natural language, your mission is to preserve and enhance its status—ensuring it remains swift, reliable, and adept at managing increasingly intricate agentic architectures.This foundational role allows you to establish architectural decisions, reliability benchmarks, and coding patterns that will define the functionality of our core product. Collaborating within a team of five, your contributions will be deployed to tens of thousands of developers on rapid release cycles.What You'll DoTake ownership of the agentic workflow engine: the runtime responsible for executing multi-step, tool-utilizing agent workflows in production.Develop and enhance Copilot—our natural language interface for creating, modifying, and debugging workflows.Design and sustain integrations with LLM providers (OpenAI, Anthropic, Google, local models via Ollama) and external APIs.Architect the orchestration layer that transforms visual flows into reliable, observable agent executions.Establish technical standards for the codebase—covering reliability, testing, code quality, and architectural patterns.Engage across the stack in our Next.js monorepo, delivering to production daily.Troubleshoot complex issues at the nexus of LLMs, distributed systems, and developer tooling.What We're Looking ForA capable generalist engineer with a history of deploying complex distributed systems or developer tools into production.Extensive experience with TypeScript/JavaScript and Bun; familiarity with working in a Next.js monorepo.Proven record of owning and managing production systems—you've been on call, debugged challenging issues, and ensured reliability.Experience integrating with LLMs or building upon foundational model APIs.Demonstrated high agency and ownership—within a small team, you help define the roadmap as much as you execute it.Strong architectural opinions that are adaptable—you prioritize building correctly while maintaining rapid development.Experience with AWS infrastructure is a plus.

Join Decagon as a Senior Software Engineer specializing in Agents. In this role, you will be instrumental in designing and developing cutting-edge software solutions that enhance the functionality and performance of our agents. You will collaborate with cross-functional teams to implement innovative features, ensuring our products remain at the forefront of technology.

Join Sierra as a Software Engineer specializing in Agent Architecture. In this role, you will be responsible for designing and developing innovative software solutions that empower our agents and enhance their capabilities. Collaborate with cross-functional teams to ensure seamless integration of our software with existing systems.

About MagicalMagical is an innovative automation platform that harnesses cutting-edge AI technologies for the healthcare sector, providing AI agents that operate effectively in real-world environments.We are on a mission to create 'AI employees' that streamline tedious, repetitive tasks that hinder team efficiency. Our primary focus is on the healthcare industry—a massive $4 trillion sector intricately woven with administrative challenges—where we automate processes such as claims management, prior authorizations, and eligibility checks, allowing healthcare providers to concentrate on delivering high-quality patient care.Our Growth JourneyThe transition to agentic automation in healthcare is not just a trend; it's a necessity, and we are at the forefront of this movement:• Rapid revenue growth as customers adopt our solutions for new workflows even before contract renewals.• Quick 7-day proof-of-concept projects that showcase immediate value, significantly faster than the industry average.• Self-healing automations with production-grade reliability at scale, outperforming most competitors who struggle to deliver.Unlike many AI companies that make lofty claims, we deliver dependable solutions that yield tangible results. Backed by prestigious investors like Greylock, Coatue, and Lightspeed, we have successfully raised $41 million. Our founder, Harpaul Sambhi, is a seasoned entrepreneur with a successful exit to LinkedIn in his previous venture.Role OverviewAs a Senior Backend Engineer on our Agent Platform team, you will be instrumental in developing the core systems that drive our AI agents—from orchestration and state management to model integration and evaluation pipelines. This is platform engineering at its finest: constructing the infrastructure that empowers our team to deliver reliable, production-grade automation solutions.You will work at the forefront of multi-agent systems, architecting how agents interact to tackle complex healthcare workflows. You will take ownership of vital backend services from inception to deployment and monitoring, ensuring our agents perform accurately and efficiently.This is a hybrid position requiring in-office presence three days a week at our San Francisco location.Key Responsibilities• Design and implement essential platform systems for agent orchestration, memory, and state management.• Create robust infrastructure for integrating and evaluating cutting-edge AI models at scale.• Develop APIs and abstractions that enable teams to swiftly deploy new agent functionalities.• Manage critical backend services from architecture through to deployment and ongoing monitoring.

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.

Join Decagon as a Staff Software Engineer specializing in Agent Development. In this pivotal role, you will work on cutting-edge software solutions that enhance our capabilities in agent-based systems. You will collaborate with cross-functional teams to design, develop, and implement innovative software applications that drive our mission forward.

About Our TeamThe Agent Infrastructure team at OpenAI is dedicated to developing advanced systems that facilitate the training and deployment of innovative AI agents, both for internal use and global accessibility. We collaborate closely with researchers to architect and scale environments that empower agentic models, allowing them to execute code, troubleshoot issues, and evolve as software engineers do. Our training environment operates at an unprecedented scale, offering the flexibility to simulate any operational context an agent might encounter.In addition, we are responsible for the core platform that powers the deployment and execution of agents in production. Our infrastructure supports groundbreaking products like Codex, Operator, the tool functionalities in ChatGPT, and future agentic innovations.Our team tackles some of the most intricate challenges in scaling agent capabilities, focusing on the infrastructure layer to ensure that OpenAI can train the most advanced models globally while enhancing the utility of our agentic products for users everywhere.About Your RoleAs a Software Engineer on the Agent Infrastructure Team, you will engage directly with both research and product teams at OpenAI. Your role will involve constructing and scaling systems to train sophisticated agentic models and developing the necessary platforms and integrations to deploy new agents to millions of users worldwide.You will be responsible for building new capabilities—establishing the infrastructure and integrations required to train increasingly complex agentic models—and rapidly scaling these innovations across some of the largest computing clusters globally. Furthermore, you will play a pivotal role in launching agentic products by building, maintaining, and scaling the production platform that supports all agents.We seek individuals with extensive experience in AI infrastructure who excel in collaborating with researchers to create high-performance systems at massive scale for unique applications.This position is available in San Francisco, CA or New York City, NY. We employ a hybrid work model, requiring three days in the office each week, and we offer relocation assistance for new hires.