Senior Software Engineer, AI Agent

About BlockitAt Blockit, we believe that time is the most precious resource. Yet, the process of coordinating it often feels antiquated. Our mission is to revolutionize scheduling with cutting-edge AI technology—creating an autonomous scheduling agent that expertly navigates the complexities of time zones, group coordination, and logistics, much like a tireless executive assistant.Unlike traditional LLM applications that focus on one-on-one interactions, Blockit is pioneering the development of stateful, multiplayer AI agents that can seamlessly communicate among multiple users, retain context across discussions, and take meaningful actions. As more users integrate their calendars, the effectiveness of our network grows exponentially.With backing from Sequoia, we are a dynamic and agile team that prioritizes innovation and quality. If you are looking to contribute to something truly transformative, we would be excited to connect with you.Explore our team page to discover more about our culture and values!The RoleIn this position, you will play a pivotal role in enhancing the intelligence of Blockit's scheduling agents, which autonomously manage meetings across various participants, time zones, and constraints.Your responsibilities will include designing and refining agent architectures, crafting and optimizing prompts, developing evaluation frameworks, and implementing new capabilities as models evolve. You will collaborate with our orchestrator agents to manage conversation flow and enhance specialized sub-agents, all aimed at making Blockit smarter, faster, and more adept at complex coordination tasks.This is an opportunity to architect and build real-world AI agents that will be deployed in production environments.What You’ll DoDevelop and optimize prompts across our agent ecosystem, including orchestrators, sub-agents, and tools.Create and maintain evaluation processes to assess agent performance and identify regressions.Troubleshoot agent issues: analyze interactions to understand misinterpretations or erroneous decisions.Incorporate new agent functionalities in response to user needs.Experiment with innovative architectures and techniques as our models advance.Monitor and analyze agent behavior to identify patterns and potential failure points.What We’re Looking ForA minimum of 2 years of experience in developing and managing production software.Proficiency in AI and machine learning frameworks.Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.

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 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.

Join our innovative team at Pallet as a Forward Deployed Software Engineer specializing in AI Agents. In this pivotal role, you will develop and implement cutting-edge AI solutions that enhance user experiences and streamline operations. Collaborate with cross-functional teams to deliver impactful software that drives our mission forward.

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....

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.

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.

Software Engineer, Delivery Network Platform Join Zipline, where we are revolutionizing logistics with an autonomous delivery network. As part of the Delivery Network Platform team, you will develop the foundational systems that enable aircraft, sites, and infrastructure to operate seamlessly in live delivery scenarios. Your work will involve creating software solutions that provide operators with real-time insights and control, designing orchestration systems that manage fleet movements, and developing validation platforms to ensure the network's reliability as it scales. Your Responsibilities You will be responsible for software systems that are pivotal to fleet operations, including: Network Operating Center software for real-time visibility and interventions across aircraft, sites, missions, weather, and demand. Fleet orchestration systems for assignment, routing, scheduling, and rebalancing tasks. Maintenance and asset health systems linking issue detection to service readiness. Simulation and validation platforms to assess topology, load, and policy changes prior to production. Platform interfaces and configurable control planes that empower other teams to safely extend the network. Tackling Complex Challenges Unlike typical software roles focused on digital experiences, this position plays a critical role in managing a live autonomous logistics network. You'll address challenges such as: Maintaining an accurate real-time view of aircraft and essential site assets across the network. Ensuring the network remains operational amidst shifting demand, changing weather conditions, infrastructure issues, or capacity constraints. Creating user-friendly operator control interfaces that facilitate quick and accurate decision-making under pressure. Simulating potential future network behaviors to mitigate risks before they impact production. These systems directly affect operational performance. You will own significant components of the platform, make critical technical and product decisions, and have a substantial impact on the network's effectiveness. Team Dynamics Our team operates with a strong emphasis on ownership, trust, and high technical standards. Engineers are expected to identify significant problems, develop a clear vision for system functionality, and drive solutions from conception to production. Additionally, we encourage engineers to leverage AI tools to enhance exploration, implementation, and debugging processes while upholding strong engineering principles, judgment, and accountability.

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 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.

Join Deepgram, a pioneering leader in voice AI technology, as a Software Engineer specializing in Voice Agents for the restaurant industry. You will play a vital role in developing innovative AI applications that enhance customer experiences and streamline restaurant operations. Your expertise in software development and passion for AI will contribute to transforming how restaurants interact with their customers.

Join Lyft's cutting-edge team as a Senior Software Engineer focused on Autonomous Vehicle technology. You will play a pivotal role in developing software solutions that enhance the safety and efficiency of our autonomous fleet. Your work will directly impact the future of transportation, making it safer and more accessible for all.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has tirelessly worked on the Waymo Driver—The World’s Most Experienced Driver™—with a mission to enhance mobility access and prevent countless lives lost to traffic accidents. Our innovative Waymo Driver powers a fully autonomous ride-hailing service and is adaptable to a variety of vehicle platforms and applications. With over ten million rider-only trips and a wealth of experience from autonomous driving over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states, we are leading the charge towards safer roads.As a Tech Lead for the software-fault release evaluation team, you will spearhead the development of a comprehensive system that executes a simulation-based "virtual driver’s test" for the Waymo Driver. This initiative is critical in identifying lingering software faults, such as "divide-by-zero" or "out-of-memory" errors, which could compromise the reliability of the Waymo Driver in real-world scenarios.

About Mach IndustriesEstablished in 2022, Mach Industries is a dynamic and innovative defense technology firm dedicated to pioneering next-generation autonomous defense platforms. Our mission centers on providing scalable, decentralized defense systems that bolster the strategic capabilities of the United States and its allies. With a passionate team of approximately 220 employees, we embody the agility and ambition of a startup.We aim to transform the future of warfare through exceptional manufacturing, rapid innovation, and a steadfast commitment to national security. Our focus is on addressing the challenges of modern warfare with advanced systems designed to deter kinetic conflict and enhance global safety.The RoleAs a Software Engineer, you will be instrumental in the creation of our autonomous defense systems. Your responsibilities will include designing, developing, and optimizing mission-critical applications with an emphasis on real-time performance, reliability, and security. This role requires technical expertise, flexibility, and a sense of ownership, as you will engage with the entire software stack to craft and launch high-performance systems within a fast-paced environment.Key ResponsibilitiesDevelop, test, and sustain software for autonomous defense platforms, guaranteeing exceptional performance, reliability, and security.Craft and implement efficient, thoroughly tested code in C++, Rust, Python, or C to power real-time systems.Design end-to-end software solutions, from low-level firmware to high-level mission software.Collaborate closely with embedded engineers, GNC specialists, and systems engineers to ensure seamless integration of hardware and software.Optimize software for real-time execution, ensuring low-latency operation on embedded platforms and edge computing systems.Adopt secure coding practices to fortify software against cyber threats and comply with defense cybersecurity standards.Utilize DevOps, CI/CD pipelines, and automated testing to enhance software development and deployment efficiency.Diagnose, debug, and enhance complex software systems, ensuring they fulfill mission-critical reliability standards.

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 Us at Pylon as a Software Engineer - AI AgentsAt Pylon, we are revolutionizing the B2B post-sales landscape. Our comprehensive platform, driven by conversational data and advanced intelligence, empowers businesses to operate seamlessly in real-time.Supported by notable investors such as a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1000 companies, including Linear, Cognition, Modal Labs, and Incident.io. Our inclusion in the Enterprise Tech 30 List shines a light on our impact.With a vast problem domain, we are eager to expand our team of talented software engineers to tackle the exciting challenges ahead. Your contributions will directly influence the development of our innovative solutions.Your RoleDevelop and implement the next generation of AI features at Pylon, swiftly adapting based on user feedback.Enhance the quality and efficiency of existing AI functionalities.Are You the Right Fit?If you prefer coding over meetings and value productivity, you might fit right in.Strong engineering fundamentals and efficient coding skills are essential.Autonomy excites you; you enjoy owning details and managing your projects.Located in San Francisco or willing to relocate? We value in-person collaboration as we cultivate a vibrant team culture.Our tech stack includes React, Golang, GraphQL, and AWS.Join a team of experienced engineers from prestigious companies like Samsara, Affinity, and Airbnb.What We Offer Comprehensive medical, dental, and vision coverage for employees 401(k) retirement plan Commuter benefits Parental leave 14 company holidays plus unlimited PTO Annual offsite retreats Meals and snacks provided at the office Fitness stipend

About AssembledAt Assembled, we believe that exceptional customer support stems from a harmonious blend of human agents and AI technology. Our innovative platform serves as a unified solution that scales to meet the needs of businesses, such as Canva, Etsy, and Robinhood, ensuring seamless coordination among in-house agents, BPOs, and AI systems. With features like AI Agents capable of resolving issues from start to finish, AI Copilot for agent assistance, and an AI-driven workforce management system that enhances both human and AI efficiency, we empower teams to provide quicker, higher-quality service while making informed staffing and automation decisions. Supported by a robust $70 million investment from NEA, Emergence Capital, and Stripe, we are on a mission to redefine how AI and human collaboration functions.The TeamOur AI Products Team is at the forefront of developing autonomous AI agents designed to tackle the most complex challenges in customer support, allowing human agents to concentrate on high-value interactions. Following a successful product launch, our Assist product line achieved a remarkable 5x growth in just three months, resulting in millions in ARR, with a promising pipeline for continued expansion.We are already implementing our solutions within leading tech companies like Canva, Patreon, and Babylist, which provides us with intricate real-world scenarios and rapid feedback loops to enhance our offerings. Our engineering challenges include creating reliable autonomous agents for customer interactions, designing scalable systems across various communication channels, and pushing the limits of current LLM technology.Under the leadership of CTO John Wang, our team is committed to eradicating low-leverage support tasks and equipping agents to deliver faster and more accurate responses.Potential projects you may engage with:Scaling LLMs with GolangEnhancing RAG results with Reciprocal Rank Fusion and Hybrid SearchPioneering new LLM evaluation techniques

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.

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.