Forward Deployed Software Engineer - AI Agents

The Role As a new graduate Software Engineer focusing on Agentic AI Systems, are you ready to apply your skills at the forefront of AI agents? This position could be the perfect fit for you. Join our dynamic team within the "agent lab" for Natural Language Understanding, where you will significantly contribute to our mission: enhancing the scope of work that can be reliably executed by AI agents at scale. You'll have the chance to shape the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory management, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools including state-of-the-art LLMs from providers like OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling challenging product and engineering issues, and maximizing value for our clients. If you're eager to make a meaningful impact alongside a talented, dedicated, and mission-driven team, we invite you to connect with us.

Software Engineer - New Graduate at Eventual (San Francisco, CA)About EventualAt Eventual, we empower developers to create the next generation of AI systems by seamlessly integrating multi-modal data and models. Every innovative AI application—from foundational models to autonomous vehicles—depends on processing vast amounts of images, videos, and complex datasets. However, current data platforms like Databricks and Snowflake are tailored for traditional spreadsheet-like analytics, not the petabytes of multi-modal data essential for AI.Founded in 2022, our mission is to transform the way data—be it images, video, audio, or text—is utilized, making it as intuitive as working with tables while ensuring scalability to support production workloads. Our open-source engine, Daft, is specifically designed for real-world AI systems, coordinating with external APIs, managing GPU clusters, and addressing failures that traditional engines cannot handle.Already, Daft supports crucial workloads at industry leaders like Amazon, Mobileye, Together AI, and CloudKitchens. With backing from Y Combinator, Caffeinated Capital, Array.vc, and prominent angels including co-founders of Databricks and Perplexity, we are just beginning our journey—and we invite you to join us.Please note: This position is full-time and based in our San Francisco office (Mission District). We prioritize in-person collaboration, requiring our engineers to be in the office at least 4 days a week.Your RoleAs a Software Engineering New Graduate, you will collaborate with our engineering team to contribute to Eventual’s core products and our open-source engine. You will gain practical experience in building distributed data systems and products, while learning to design, implement, and test features that support real-world AI and ML workloads.You will receive mentorship from our diverse team (ex-Databricks, AWS, Nvidia, Tesla, GitHub Copilot, Pinecone) and have the chance to make impactful contributions that reach production.Key ResponsibilitiesAssist in developing features for Eventual’s distributed query engine.Contribute to the development of Eventual’s cloud service.Write clean, maintainable code with guidance from senior engineers.Collaborate with the team to design and implement solutions for real-world data challenges.Help with testing, debugging, and documenting core system components.What We Look ForA recent graduate or within 1 year of graduation in Computer Science or related field.Strong understanding of programming languages such as Python, Java, or Scala.Familiarity with distributed systems and cloud computing concepts.Ability to work collaboratively in a team environment.Eagerness to learn and adapt in a fast-paced environment.

Join Us in Revolutionizing Healthcare AccessibilityAt Assort Health, we are committed to making top-tier healthcare available to everyone, everywhere, at any time. Our vision is to create a healthcare experience that is effortless and interconnected, characterized by rapid responses, transparent communication, and smooth access to care. Our innovative approach leverages AI technology to forge stronger connections between patients and providers, addressing the complexities of healthcare while catering to the unique requirements of each provider.As the leading patient experience platform powered by specialty-specific agentic AI, Assort Health integrates seamlessly with EHR/PMS systems and accommodates complex provider preferences, effectively minimizing hold times and inefficiencies that obstruct patient care.Since our inception in 2023, we've facilitated over 100 million patient interactions, drastically reducing average hold times from 11 minutes to just 1 minute. Our platform currently serves thousands of providers, achieving an impressive 98%+ resolution rate and 99% scheduling accuracy. With a patient satisfaction rating of 4.5 out of 5 based on 52,000 reviews, and a remarkable 20× revenue growth in 2025, we are on an exhilarating growth trajectory, expanding our influence throughout the healthcare sector.Your Role and ResponsibilitiesWe are searching for passionate, inventive, and resourceful product-oriented Engineers to join our dynamic team during this thrilling phase of our startup journey. If you are enthusiastic about playing a pivotal role in developing and scaling innovative products, this opportunity is your chance to make a substantial impact. You will gain invaluable hands-on experience in a fast-paced startup environment, working with advanced generative AI and voice/transcription models and technologies.As one of our initial 30 Engineers, your contributions will be fundamental to our company's growth and success. This role is ideal for self-starters willing to take on various responsibilities and guide products from conception to implementation. You will enjoy a high level of autonomy and must be comfortable navigating ambiguous situations with an entrepreneurial spirit.The anticipated start date for this position is Summer 2026.

About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction and organizes it into valuable insights, accounts, tasks, and follow-ups, ensuring that no detail is overlooked.We are revolutionizing CRM by focusing on the actual workflows of organizations. Rather than forcing teams to adhere to rigid systems, Lightfield intelligently learns and adapts, automating processes and providing actionable insights that fuel growth. We are building the CRM solution we always wanted: rapid, intelligent, and genuinely supportive.Our team is backed by prominent investors including Greylock, Lightspeed, and Coatue, and has a proven track record, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Our members have extensive experience, having contributed to projects at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a dynamic, creative, and adaptable engineer who is passionate about crafting scalable, high-performance features and systems that offer cutting-edge AI product experiences.At Lightfield, engineers play a crucial role in project ownership from conception to execution, working collaboratively across various functions and pushing the boundaries of what is achievable in applied AI system development. You will partner with a talented team to provide industry-leading solutions while contributing to both the product and technical vision of Lightfield.Your ResponsibilitiesWork closely with product leaders to identify customer challenges, define requirements, and implement effective solutions.Design and maintain full-stack product features and systems from inception to deployment, ensuring they are reliable, scalable, and performant.Create observability tools and metrics that facilitate smooth operations, proactive issue detection, and ongoing improvement.Provide mentorship to team members, engage in code reviews, and help cultivate a strong engineering culture and best practices.Contribute to the development of an exceptional engineering team through recruitment, mentorship, and knowledge sharing.Your ProfileYou are enthusiastic about Large Language Models (LLMs) and eager to build systems that harness their capabilities.You are quick to adapt to a tech stack featuring TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.You possess solid software engineering fundamentals and are ready to tackle challenging problems.

Join Giga: Pioneering AI InnovationGiga is at the forefront of revolutionizing customer experiences through advanced AI technology. With a recent $61M Series A funding and a roster of prestigious clients like DoorDash, we are committed to developing real-time AI agents capable of understanding emotions, resolving issues swiftly, and scaling across the globe's largest enterprises.This is a pivotal moment for Giga as we aim to become the premier AI platform for enterprise automation, driven by our cutting-edge voice superintelligence. To reach our ambitious goals, we are on the lookout for talented engineers to join our dynamic team.Our engineers enjoy significant autonomy, allowing them to make impactful contributions from day one. With visionary founders, proven commercial success, and a clear trajectory towards becoming a generational company, this is a unique opportunity to be part of something extraordinary.Giga Secures $61M in Series A FundingPartnership Between DoorDash and GigaAt Giga, we empower the world's leading B2C companies to build trusted AI agents that enhance their support and operational workflows across various channels. If you are excited about being part of this innovative journey, we encourage you to apply!

About LoopAt Loop, we are revolutionizing the global supply chain with our innovative data platform. Our mission is to transform chaotic, unstructured data—often stuck in PDFs, emails, and outdated systems—into a structured and actionable 'source of truth' that automates payments and audits for Fortune 100 companies.We are building the financial backbone for a $100 trillion physical economy, ensuring that freight movements are efficient and that carriers receive payments instantly.Supported by leading investors such as Founders Fund, Index Ventures, and 8VC, we are experiencing rapid growth. We seek engineers eager to deploy production-level AI that drives the physical economy forward.About the New Grad ProgramUnlike traditional AI that remains confined to the browser, our technology interacts with the physical world. In this program, you will not merely develop features; you will be instrumental in creating the autonomous intelligence behind the Fortune 100’s global supply chain.This program is designed to compress three years of learning into just one year. From Day 1, you will engage with production AI systems, tackling real-world challenges and making a direct impact on customers. This intensive program requires a significant commitment, but upon completion, you will emerge as a competent entry-level engineer, ready to launch your career.The Schedule:Week 1 (Onboarding): Immerse yourself in our tools and domain. You will deploy code to production on Day 1 and master our development loop by the end of the week.Months 1-3 (Velocity): Complete three entry-level projects with increasing complexity. By the end of Month 3, you will be expected to operate as a fully independent engineer.Months 4-9 (The Rotation): Rotate onto different high-impact teams to broaden your expertise. Possible tracks include:Platform: AI infrastructure and Engineering Systems.Core Product: Audit, Billing, and Payments logic.Commercial: Revenue Activation and Forward Deployed Engineering.Special Projects: Collaborating directly with the CEO/CTO and other executives.Month 9+ (Graduation): You will demonstrate mid-level engineering performance and may be considered for immediate promotion.

About FurtherAIAt FurtherAI, we are pioneering the development of next-generation AI agents tailored for the insurance sector — a trillion-dollar industry ripe for innovation.Having successfully secured over $30M from leading investors, including Andreesen Horowitz, Y Combinator, Nexus, South Park Commons, and Converge, we have achieved a remarkable 10x revenue growth this year alone. Our clientele includes some of the most prominent names in insurance, with a recent partnership with a top five global insurance company. Our team merges extensive AI expertise with a robust background in building successful enterprises.We are now seeking a talented Software/AI Engineer (New Grad) to become a vital part of our early-stage team and influence both our product and culture.About the RoleIn this role, you will join our engineering team as a Software/AI Engineer (New Grad) and contribute to developing the foundation of FurtherAI’s AI Workspace for Insurance.You will engage in building end-to-end product features, which include integrating AI models, developing data processing pipelines, and designing scalable backend systems. You will work closely with senior engineers, AI researchers, and founders to enhance real-world insurance workflows, transforming how underwriters, claims adjusters, and brokers operate.This is a unique opportunity to be part of a high-performing technical team at an early stage and grow rapidly with the company.Why Join FurtherAI?High Impact: Contribute to technology that is reshaping the role of AI in modern insurance.Hands-On Learning: Work directly with senior engineers, AI scientists, and founders in creating applied AI solutions.Mission-Driven: Play a role in modernizing one of the world’s most intricate industries with practical and explainable AI applications.Early Team: Enjoy full visibility into product development, research, and customer impact, as you help establish the groundwork of our AI Workspace for Insurance as we expand.Responsibilities:Develop, test, and deploy production-quality code across our backend and AI systems.Collaborate with AI researchers to integrate and optimize large language models for insurance-related workflows.Create data processing and evaluation pipelines for unstructured document inputs, such as PDFs, emails, and images.Contribute to core infrastructure, from APIs to orchestration logic that drives our AI Workspace for Insurance.

Notion Labs Inc. develops tools that help individuals and teams organize their work. The platform combines documents, notes, projects, calendars, and emails, all enhanced with integrated AI for faster workflows and quick answers. Millions, including organizations like Toyota, Figma, and OpenAI, depend on Notion for its flexibility and time-saving features. Teamwork is central at Notion. Employees gather at the San Francisco office on Mondays, Tuesdays, and Thursdays, known as Anchor Days. Some positions may require more days onsite based on team priorities. Role overview As an AI Software Engineer (New Graduate), the focus is on building and improving AI-powered features for Notion’s platform. Engineers at Notion write code that reaches millions, tackle significant technical problems, and help shape product direction. Collaboration with design, product, and data teams is a key part of the work, shaping the next generation of productivity tools. AI Engineers work with large language models (LLMs), embeddings, and other advanced AI technologies to make the platform smarter and more helpful. Team assignments and focus areas are determined by business needs and team fit. Potential areas include: AI Product Engineering: Develop model-powered features, design user experiences, build APIs, manage retrieval and orchestration, and ensure reliability and quality. Model & Systems Engineering: Enhance model integration and performance, focusing on latency, cost, safety, and reliability. Build infrastructure for deploying and experimenting with models. Evaluation & Quality (Evals): Build evaluation frameworks and implement automated and human-in-the-loop testing to measure and improve model and product quality. What you will do Collaborate with your team to prototype and launch an AI-powered product enhancement. Take ownership of a production project, such as integrating a new model or feature into Notion’s infrastructure. Location This role is based in San Francisco, California. In-office presence is required on Mondays, Tuesdays, and Thursdays, with the possibility of additional days depending on team needs.

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.

About StradaAt Strada, we are revolutionizing the insurance industry with our AI-driven platform designed to enhance efficiency and streamline operations. Our innovative solution deploys intelligent AI agents across various communication channels, including calls, texts, emails, and chat, to optimize essential front-office workflows such as policy servicing and claims intake. Unlike generic AI platforms, Strada provides unparalleled domain expertise and product depth tailored specifically for the insurance sector.With backing from Y Combinator and prominent investors, we've automated over 1 million customer interactions for leading insurers, managing general agents (MGAs), and brokers, representing over $10 billion in annual premiums. As we continue to grow, our technology adoption is rapidly increasing within the industry.The insurance industry, one of the largest and most intricate sectors globally, is on the brink of transformation through modern AI technologies. Strada is pioneering the shift from outdated workflows to AI-native infrastructure, enabling real operations at scale amidst highly regulated environments.We are a compact, high-ownership team based in San Francisco, actively engaged in production systems at sophisticated insurance organizations. If you are eager to tackle challenging problems and make a significant impact on the future of a substantial industry, we want to meet you.Why Choose Insurance?Insurance plays a crucial role in the global economy, supporting businesses, helping families recover from disasters, and managing risks across industries. However, many processes within insurance remain stagnant, relying on outdated systems and phone calls. At Strada, we are committed to integrating AI into these workflows, making them faster, smarter, and more efficient—a $300 billion market ripe for innovation.Your RoleWe seek a passionate Software Engineer to join our team as one of the earliest engineering hires. In this pivotal role, you will work across the technology stack to develop the core systems that underpin our AI agents, from real-time voice infrastructure to integrations with various insurance platforms. This is a high-impact position where you will deliver production code from day one, learn rapidly, and grow alongside our company.What You Will Accomplish in Your First WeekDeploy your first pull request to production on your very first day—no lengthy onboarding, you're contributing immediately.Engage with our voice AI stack and learn how we automate thousands of insurance calls each day.Collaborate with the team, experience customer interactions firsthand, and gain insights into our operations.

Airbnb’s Quality Reputation team focuses on building customer-facing products that improve user experience and trust. This group develops systems to assess listing quality, highlight standout offerings, and protect users through proactive measures. Engineers here work closely with design, product management, data science, legal, and marketing to deliver reliable solutions. Role overview This iOS Software Engineer position is open to new graduates interested in shaping Airbnb’s mobile experience. The role involves creating, maintaining, and improving iOS features, with an emphasis on delivering high-quality, dependable products for Airbnb’s global community. Some projects may include AI-driven features, where a foundation in machine learning can help develop smarter, more personalized experiences for hosts and guests. Engineers in this role contribute to a collaborative culture, seek and share feedback, and help onboard new teammates. Independence, curiosity, empathy, and clear communication are valued. Following best practices and a commitment to continuous learning are important parts of the job. What you will do Participate in team meetings to discuss priorities, share updates, and address blockers Write code to fix bugs, develop new iOS features, and refine UI components with a focus on code quality Location This role is based in San Francisco, CA or Seattle, WA.

Join Perplexity as a dynamic AI Software Engineer on our innovative Comet Agents engineering team. We are a tight-knit group of AI/ML specialists, backend developers, and full-stack engineers dedicated to creating engaging agentic experiences within our Comet ecosystem. Our mission is to empower users with AI agents that genuinely understand and fulfill their intents, enabling seamless, open-ended interactions with the digital world.As a key contributor to the Comet Agents team, you will apply your AI expertise, product intuition, and creative problem-solving skills to push the boundaries of what AI agents can achieve for our millions of loyal users. Your work will span applied research and engineering, tackling various challenges in AI, including:Crafting AI agents capable of navigating the digital landscape and executing valuable tasks for users;Developing action and decision models that effectively achieve user-defined objectives based on complex multimodal states;Delivering exceptional user experiences across desktop, mobile, headless cloud, and more, utilizing flexible abstractions and seamless background processes;Implementing secure-by-design capabilities through the creation of permission architectures and payload classifiers;Designing optimal data representations and interaction modes between agents and their environments;And much more!ResponsibilitiesLead the development of cutting-edge AI functionalities within our rapidly evolving AI agents product.Utilize advanced AI models, infrastructure, and browser technologies to enhance capabilities for our expanding user base.Uphold high standards of quality and performance in AI agents and user experience.Collaborate with engineers, designers, product managers, and data scientists to integrate core Perplexity functionalities into Comet agents.Contribute to product reliability, code quality, AI evaluation, testing, and ongoing maintenance across the team.QualificationsSolid foundational knowledge of the complete AI product stack.Experience with AI/ML frameworks and backend development.Proficiency in programming languages commonly used in AI development.Ability to work collaboratively in a fast-paced, interdisciplinary environment.Strong problem-solving skills and a passion for innovation in AI technologies.

The Role Are you a seasoned software engineer with a passion for technical leadership and a track record of enhancing production systems? If you're eager to leverage your expertise at the forefront of AI technology, this opportunity might be perfect for you. As a Staff Software Engineer on our pioneering Natural Language Understanding team within the “agent lab,” you will be instrumental in our mission to expand the boundaries of what AI agents can accomplish reliably and at scale. You'll lead the transformation of the Moveworks AI Assistant platform in key areas such as agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory management, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge enterprise AI tools, including top-tier LLMs from providers like OpenAI, our team focuses on rapid development of scalable infrastructure, tackling complex engineering challenges, and maximizing value for our customers. If you're ready to elevate your career alongside a passionate and impact-driven team, we would be thrilled to engage with you.

The RoleAre you a seasoned software engineer with a passion for innovation in production systems? If you're eager to leverage your expertise in the dynamic field of AI agents, this position is tailored for you.As a key member of our Natural Language Understanding team within the 'agent lab', you will contribute significantly to our mission: pushing the boundaries of what agents can achieve reliably at scale. Your work will enhance the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed execution environments, latency reduction, agent memory management, LLM self-reflection, execution environment simulation, enterprise knowledge integration, and multimodal input/output.Equipped with cutting-edge enterprise AI tools, including top-tier LLMs from providers like OpenAI, you'll be part of a fast-paced team focused on scalable infrastructure and solving complex engineering challenges to deliver exceptional value to our customers. If you are ready to make a significant impact alongside a dedicated and driven team, we invite you to explore this opportunity with us.

The Role Are you a skilled software engineer with a proven track record in building and refining production systems? Are you eager to apply your expertise at the forefront of AI technology? If so, this opportunity may be perfect for you. As a Senior Software Engineer on our Natural Language Understanding team within the “agent lab,” you will be pivotal in our mission to enhance the capabilities of AI agents for reliable, scalable performance. You will have the chance to influence the evolution of the Moveworks AI Assistant platform in several key areas: agent orchestration, sandboxed file systems, latency optimization, and multimodal I/O, among others. You will leverage the best tools in enterprise AI, including cutting-edge LLMs from top providers like OpenAI. Our team prioritizes rapid innovation on scalable infrastructure while tackling challenging product and engineering obstacles to deliver exceptional value to our clients. If you are looking to achieve the pinnacle of your career alongside a passionate, dedicated team focused on making an impact, we invite you to connect with us.

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.

Backend Engineer - New Graduate OpportunityJoin LiteLLM, the leading AI Gateway, trusted by renowned organizations such as Adobe, Netflix, and NASA. Our innovative platform provides developers with secure and reliable access to Large Language Models (LLMs) and related services. We are seeking a passionate Backend Engineer (New Grad) to contribute to building robust guardrails and observability tools at an extensive scale.Role OverviewIn this role, you'll be instrumental in enhancing our guardrails and logging mechanisms. You will take ownership of the backend code ensuring that all guardrail calls are accurately logged, errors are made visible to users, and our observability tools are effective under high-traffic conditions. Your meticulous attention to detail in latency metrics, logging traceability, and backend guardrail registration will significantly influence user trust in our security and compliance features.Key ResponsibilitiesEnsure all guardrail and policy enforcement calls (e.g., applyguardrail) are logged and traceable within our SpendLogs and relevant database tables.Proactively identify and resolve silent failures in guardrail creation, registration, and policy application, ensuring robust error handling and clarity for end-users.Collaborate with observability integrations, including Datadog, Splunk, Prometheus, and OpenTelemetry, to maintain effective monitoring and logging for backend systems.Refactor and enhance our Prometheus integration to facilitate configurable latency histogram buckets that can scale for high-traffic environments.Work collaboratively across teams on backend engineering priorities such as performance, reliability, and security.QualificationsRecent graduate with a Bachelor’s or Master’s degree in Computer Science or a related field.Proficient in Python and familiar with backend frameworks like FastAPI or Flask.Knowledge of logging best practices, error handling, and secure backend development principles.Exposure to monitoring and logging platforms such as Datadog, Splunk, Prometheus, or OpenTelemetry.Familiarity with database integration and troubleshooting (e.g., PostgreSQL, Redis).A strong drive to deliver high-quality backend code with attention to detail.

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.

About the Role Coframe is hiring Agent Engineers in the SF Bay Area to design and build scalable systems for generating, testing, and monitoring interfaces. What You Will Do Develop systems that produce on-brand, production-ready experiences for multiple platforms Implement automated quality assurance and monitoring tools Support rapid experimentation and optimization efforts Impact Work at Coframe will help improve optimization, speed up experimentation, and deliver measurable results across products and platforms.