Software Engineer, Agentic AI Systems (New Graduate)

About the RoleWe are seeking a dynamic and visionary Director of Engineering, Agentic AI to spearhead the development of Twelve Labs’ innovative agentic platform. This role will focus on enhancing the developer experience through APIs, SDKs, and advanced tooling, empowering developers to create video-native agents. You will also be responsible for flagship user applications that validate and enhance our platform. As the leader, you will oversee the entire journey from agent capabilities to production-level applications, manage multiple engineering teams, and provide strategic direction for our technology stack. This position is ideal for a proactive builder who thrives in a fast-paced AI environment, is technically savvy, and is passionate about delivering high-quality products. You will need to blend effective people leadership with the ability to navigate complex technical and product decisions amidst uncertainty.In This Role, You WillLead Video Agent Platform DevelopmentDrive the evolution of Twelve Labs' video agent platform, including:Video ingestion and indexing for complex agent workflows.Agent orchestration runtime and essential capabilities such as planning, tool utilization, and multi-step reasoning.Development of tools for evaluation, observability, and debugging.Ensure reliability, low latency, and cost-effectiveness in agent workflows.Implement safety measures and guardrails for agent operations.Oversee the complete delivery cycle of flagship user applications, from ideation to launch and subsequent iterations.Manage the platform product interface, including API design and SDK development.Ensure Delivery & ExecutionGuarantee delivery, quality, and operational excellence across your teams.Drive swift, predictable release cycles with structured planning, regular reviews, and retrospectives to foster continuous improvement.Translate product and organizational objectives into clear technical strategies, timelines, and milestones while managing inter-team dependencies.Build and Lead the OrganizationRecruit, mentor, and expand your teams, guiding them through TLMs and Senior/Staff ICs.Attract exceptional talent and continuously elevate the standards. Provide coaching and development opportunities for leaders, manage performance effectively, and establish clear growth pathways for managers and individual contributors.

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 UsZeta Global (NYSE: ZETA) is an innovative AI-driven Marketing Cloud that harnesses cutting-edge artificial intelligence (AI) and an immense array of consumer signals to streamline the process for marketers in acquiring, nurturing, and retaining customers more effectively. Our Zeta Marketing Platform (ZMP) aims to simplify complex marketing strategies by integrating identity, intelligence, and omnichannel activation into a unified platform—powered by one of the industry's largest proprietary databases and AI. Our enterprise clientele, spanning various sectors, can tailor consumer interactions on an individual basis across all channels, resulting in superior marketing outcomes. Founded in 2007 by David A. Steinberg and John Sculley, Zeta is headquartered in New York City with global offices. Discover more at www.zetaglobal.com.Role OverviewWe are seeking a proactive and skilled Agentic AI Engineer to develop bidder-adjacent agents that enhance campaign performance through RAG and tool-using workflows within a closed-loop ACE (Observe → Reason → Act → Evaluate) framework. This role transcends traditional linear model training and deployment, focusing instead on agentic decision-making, evaluation, and safety in a fast-paced AdTech environment.

Arize AI builds tools for AI and Agent Engineering observability, helping teams monitor, troubleshoot, and optimize artificial intelligence systems. The Arize AX platform brings together build, test, and run workflows in one workspace, supporting engineers as they deploy reliable AI agents and applications. With over $135M in Series C funding and a customer base that includes more than 150 enterprises and Fortune 500 companies, Arize AI works with organizations such as Booking.com, Uber, Siemens, and PepsiCo. Role overview This DevSecOps Engineer position focuses on improving IT infrastructure with an emphasis on security, compliance, and performance. The role supports Arize AI’s remote-first team, contributing to the reliability and safety of the company’s systems and processes. Location While Arize AI operates as a remote company, this role requires residence in the San Francisco Bay Area. Occasional onsite events bring the team together for collaboration and team-building.

WHO WE ARE Zeta Global (NYSE: ZETA) is an innovative AI-Powered Marketing Cloud that integrates cutting-edge artificial intelligence (AI) with vast consumer insights to streamline the process for marketers to acquire, nurture, and retain customers more effectively. Our flagship Zeta Marketing Platform (ZMP) aims to simplify advanced marketing by merging identity, intelligence, and omnichannel activation into one cohesive platform, supported by one of the industry's most extensive proprietary databases and AI capabilities. Our enterprise clients, spanning various industries, are empowered to deliver tailored experiences to consumers on an individual basis across all channels, resulting in improved outcomes for their marketing initiatives. Founded in 2007 by David A. Steinberg and John Sculley, Zeta Global is headquartered in New York City, with offices worldwide. For more information, visit www.zetaglobal.com. ROLE SNAPSHOT We are seeking a proactive Agentic AI Engineer to develop innovative bidder-adjacent agents that enhance campaign performance through RAG and tool-using workflows within a closed-loop ACE (Observe → Reason → Act → Evaluate) framework. This position diverges from traditional roles focused solely on model training and deployment; instead, it emphasizes agentic decision-making, evaluation, and safety within a fast-paced AdTech environment.

About Sage CareSage Care is a dynamic and rapidly expanding healthcare startup, founded by a team of visionary leaders from major tech companies like Apple, Uber, and Carbon Health, and supported by esteemed venture capital firms including General Catalyst and Chelsea Clinton. Our mission is to revolutionize healthcare by streamlining care navigation, making it accessible and efficient for everyone.Our innovative platform empowers patients to easily locate the right healthcare providers and enables clinicians to prioritize those who require assistance the most. By leveraging cutting-edge AI technologies, we ensure that patients have quicker access to care, leading to improved health outcomes and significant economic advantages at scale.Having established successful partnerships with healthcare systems across the U.S., we are now extending our reach internationally, particularly in the MENA region, where we are collaborating with local health systems to implement our AI-driven care navigation solutions.About the RoleWe are seeking a highly skilled Staff AI Engineer to spearhead the design and advancement of our AI voice agents. This pivotal role will involve creating and managing AI systems that perform effectively in real-world environments.You will be responsible for the comprehensive behavior of our agents, overseeing their orchestration, tool utilization, latency, evaluation, and the management of failures.Your work will involve tackling complex, non-deterministic systems, crafting an architecture that ensures consistency, observability, and scalability in production settings.What You’ll DoDesign and oversee the architecture of AI agents, encompassing orchestration, tool usage, and control flow.Create systems that guarantee reliable agent operation across diverse real-world interactions.Develop and refine evaluation frameworks to assess agent quality and behavior.Identify and troubleshoot complex issues in production, including edge cases, failures, and regressions.Enhance performance across the system stack, focusing on latency, cost, and reliability.Establish patterns and best practices for building and operating AI agents.Mentor fellow engineers and elevate the standards of AI systems design and execution.What We’re Looking ForRequired QualificationsMinimum of 7 years of experience in software engineering.Proven experience in developing and managing AI agents or conversational systems in production settings.Deep understanding of:Agent orchestration and control mechanisms.Real-world systems and their operational challenges.

Superhuman embraces a hybrid working model designed to offer team members the ideal balance of focused work and collaborative, in-person interactions that cultivate trust, innovation, and a vibrant team culture.About SuperhumanSuperhuman, now inclusive of Grammarly, is an AI productivity platform dedicated to unleashing the superhuman potential within everyone. Our suite of applications and agents extends AI capabilities across 1 million+ applications and websites. Our products include Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, a proactive AI assistant that intuitively understands context and provides automated support. Since our inception in 2009, Superhuman has empowered over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally to reduce busywork and concentrate on what truly matters. Discover more at superhuman.com and explore our core values here.The OpportunitiesJoin us in developing a groundbreaking platform for AI Agents, designed to collaboratively tackle complex tasks, utilizing Superhuman's intuitive UI. As a Machine Learning Engineer on this pioneering team, you will play a critical role in our company's transformation.Shape the Future of Productivity: Take on a vital role in evolving Grammarly from a cherished writing assistant into an indispensable AI-driven productivity suite for enterprises.Build an Innovative AI Agent Platform: Lead the charge in creating a new platform where multiple AI agents work together to address intricate user challenges. You will oversee the core orchestration, routing, and planning systems.Own Key ML Systems: Design and implement advanced machine learning models that enhance core product experiences, including search ranking and proactive suggestions that anticipate user needs.

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.

At Superhuman, we embrace a dynamic hybrid working model, allowing team members to enjoy a balance of focused work time and collaborative in-person interactions that foster trust, innovation, and a vibrant team culture.About SuperhumanSuperhuman, now inclusive of Grammarly, is an innovative AI productivity platform dedicated to unlocking the superhuman potential in individuals. Our suite of applications and agents seamlessly integrates AI into the workflow, connecting with over a million applications and websites. Our products range from Grammarly’s writing assistance to Coda’s collaborative environments, Mail’s inbox management, and Go, a proactive AI assistant that understands context and provides assistance automatically. Since our inception in 2009, Superhuman has empowered over 40 million users across 50,000 organizations and 3,000 educational institutions globally, enabling them to eliminate busywork and concentrate on what truly matters. Discover more atsuperhuman.com and explore our values here.The OpportunitiesJoin our team as we develop a pioneering platform for AI Agents to collaboratively tackle complex tasks using Superhuman's intuitive UI. As a Machine Learning Engineer, you will be a key player in our company's transformation.Shape the Future of Productivity: Be instrumental in transitioning Grammarly from a beloved writing companion to a crucial, AI-driven productivity suite for enterprises.Build a Groundbreaking AI Agent Platform: Lead the creation of a new platform where AI agents work together to address intricate user challenges. You will manage the essential orchestration, routing, and planning systems.Own Critical ML Systems: Design and implement advanced ML models for fundamental product experiences, including search ranking and proactive suggestions that foresee user needs.Integrate Cutting-Edge AI: Work at the cutting edge of AI technology, developing ML components that utilize the latest models to craft extraordinary user experiences.Thrive in a High-Impact Environment: Join a foundational team where you will enjoy a high level of autonomy and product insight in a fast-paced, evolving atmosphere.

ML/AI Research Engineer - Founding Team at Agentic AI LabLocation: San Francisco Bay AreaType: Full-TimeCompensation: Competitive salary + meaningful equity (founding tier)At fabrion, backed by 8VC, we are assembling a top-tier team dedicated to addressing one of the most pressing infrastructure challenges in the industry.About the RoleJoin us in shaping the future of enterprise AI infrastructure, focusing on agents, retrieval-augmented generation (RAG), knowledge graphs, and multi-tenant governance.As an ML/AI Research Engineer, you will spearhead the design, training, evaluation, and optimization of agent-native AI models. Your work will integrate LLMs, vector search, graph reasoning, and reinforcement learning, establishing the intelligence layer for our enterprise data fabric.This role goes beyond prompt engineering; it encompasses the entire ML lifecycle—from data curation and fine-tuning to thorough evaluation, interpretability, and deployment, all while considering cost-effectiveness, alignment, and agent coordination.Core ResponsibilitiesFine-tune and assess open-source LLMs (e.g., LLaMA 3, Mistral, Falcon, Mixtral) for enterprise applications, leveraging both structured and unstructured data.Construct and enhance RAG pipelines utilizing LangChain, LangGraph, LlamaIndex, or Dust, integrating with our vector databases and internal knowledge graphs.Train agent architectures (ReAct, AutoGPT, BabyAGI, OpenAgents) using enterprise task datasets.Develop embedding-based memory and retrieval chains employing token-efficient chunking strategies.Create reinforcement learning pipelines to enhance agent behaviors (e.g., RLHF, DPO, PPO).Establish scalable evaluation harnesses for LLM and agent performance, including synthetic evaluations, trace capture, and explainability tools.Contribute to model observability, drift detection, error classification, and alignment efforts.Optimize inference latency and GPU resource utilization across both cloud and on-premises environments.Desired ExperienceModel Training:Deep understanding of machine learning principles and hands-on experience with model training.

Join Asana as a Senior Engineering Manager focused on AI Agents, where you will lead the development of innovative AI solutions.As a pivotal member of our engineering team, you will collaborate with cross-functional groups to design and implement cutting-edge AI technologies. Your leadership will guide a team of talented engineers in creating intelligent systems that enhance user experience and drive productivity.

About the TeamJoin OpenAI as the Director of Data Engineering and Agentic AI Automation, where you'll spearhead the evolution of our finance data infrastructure. As we expand our finance operations, we require robust and scalable data systems that can keep pace with our growth's intricacies. Your leadership will ensure the development of well-structured, auditable data essential for revenue recognition, financial reporting, and strategic planning. You will guide a talented team of analytics engineers, data engineers, and AI engineers to construct data pipelines that seamlessly integrate our internal engineering systems with leading enterprise platforms like Oracle Fusion ERP. Additionally, you will shape the roadmap for agentic AI automation, facilitating intelligent workflows, process automation, and AI-driven decision-making within the Finance department.This position is located in San Francisco, CA, and operates on a hybrid work model, requiring three days in the office each week. We also provide relocation assistance for new hires.Key Responsibilities:Develop and sustain a scalable, auditable data infrastructure that delivers precise financial insights, focusing on revenue recognition, compute attribution, and close automation.Lead and mentor a team of analytics engineers, data engineers, and AI engineers to create impactful, intelligent data systems.Direct initiatives related to financial close and allocations automation, B2C revenue automation connecting engineering systems to ERP, including cash and source system reconciliation.Design and implement data pipelines that bridge ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday.Establish and maintain scalable, audit-proof architecture to support reliable financial reporting and compliance.Create data and AI-enhanced workflows that improve forecasting accuracy, compliance automation, and operational efficiency.Develop and manage data marts and products that serve diverse stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams.Set and uphold best practices for data modeling, lineage, observability, and reconciliation across finance data domains.Define the technical direction and oversee team structure, mentoring engineers and managing contractors or system integrators to ensure high-quality outcomes.

Full-time | HybridOverview:Become a part of Fastino as we revolutionize the landscape of Large Language Models (LLMs). Our innovative team includes experts from Google Research, Apple, Stanford, and Cambridge, dedicated to creating specialized and efficient AI solutions.Fastino's GLiNER suite of open-source models has achieved over 5 million downloads and is utilized by industry leaders such as NVIDIA, Meta, and Airbnb.We have successfully raised $25 million (highlighted in TechCrunch) during our seed funding round, backed by premier investors including Microsoft, Khosla Ventures, Insight Partners, and notable CEOs from Github and Docker.As the Director of AI Partnerships, you will spearhead Fastino's partnership ecosystem from the outset, orchestrating strategy and execution across AI-native, startup, and developer channels. Collaborate closely with the founders to define and expand our partnership initiatives and establish a robust partnerships organization.Your Responsibilities:Industry Engagement: Represent Fastino at key industry events, AI forums, and partner summits, enhancing brand visibility and generating leads within the developer, AI-native, and digital-native communities through content creation and relationship building.Startup Initiatives: Develop programs that position us as a trusted ally for founders during their early stages. Drive retention, growth, and new business opportunities within your portfolio while identifying high-potential startups as pipeline prospects.Strategic Partnership Management: Cultivate trusted relationships with venture platforms, portfolio support teams, and startup operators. Serve as a strategic advisor to founders on AI infrastructure and relay ecosystem insights back into Fastino's go-to-market and product strategies.Partnership Analytics: Create systems, metrics, and narratives that transform partnerships into a measurable growth engine. Oversee tracking and reporting for partner-sourced pipeline, referral volume, and revenue impact.Team Development: As our traction increases, define and expand the partnerships function.Cloud and Hyperscaler Relations: Manage and scale co-selling initiatives, marketplace listings, and technology partnerships within the AI ecosystem, including cloud providers and GPU partners.

About David AIDavid AI is a pioneering audio data research company that applies a rigorous R&D methodology to develop high-quality datasets, similar to the standards upheld by leading AI labs in model creation. Our mission is to seamlessly integrate AI into everyday life, utilizing audio as the primary medium due to its versatility and accessibility. As the demand for audio AI grows, the need for superior training data is paramount, and this is where David AI excels.Founded in 2024 by a team of former engineers and operators from Scale AI, we have quickly gained traction, partnering with notable clients from FAANG companies and various AI labs. Recently, we secured a $50 million Series B funding round from elite investors including Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, and First Round Capital.Our team embodies a culture of sharp intellect, humility, ambition, and collaboration. We invite the brightest minds in research, engineering, product development, and operations to join us in pushing the boundaries of audio AI.About our Engineering TeamAt David AI, our engineering team is at the forefront of building the pipelines, platforms, and models that convert raw audio into high-quality data for top-tier AI labs and enterprises. We are a cohesive unit of product engineers, infrastructure specialists, and machine learning experts dedicated to establishing the world's first audio data research enterprise.We thrive in a fast-paced environment, taking full ownership of our projects and delivering to production on a daily basis. Our engineers design and implement real-time pipelines that manage terabytes of speech data and deploy state-of-the-art generative audio models.Your RoleAs the Director of Engineering, you will be the technical backbone of our engineering operations, driving execution across product development, infrastructure, and AI systems. You will collaborate closely with the CTO to co-create a long-term technical vision and architecture, translating it into a strategic roadmap and operational framework. Your leadership will ensure high-quality delivery while fostering a collaborative and high-velocity engineering culture. This strategic position offers significant autonomy, allowing you to influence our engineering practices from the outset.Key ResponsibilitiesArchitect and develop essential tools that assist users in interpreting audio data for model training, partnering closely with researchers to enhance data collection methodologies.Recruit, structure, and mentor the engineering team, establishing and maintaining high-performance standards.Drive the creation of innovative solutions that advance our audio AI capabilities and improve our service offerings.

About the RoleAs a Visual Design Engineer at Sim, you will take the lead in crafting and advancing our innovative platform for building AI agents. This is where developers come to design, connect, and deploy their AI creations. Your expertise will guide the entire process—from the architectural framework to the refined user interactions—defining how thousands of developers engage with our tools. Your role will integrate UI/UX design with engineering principles, influencing the core interface and real-time systems that power our product.Often likened to 'Figma for AI agents', you will elevate our platform further, enhancing its capabilities, user enjoyment, and efficiency as developers’ workflows become more intricate. Collaborating closely with engineering, design, and product teams, you will ensure a smooth agent-building experience from conception to launch.This is a pivotal position where you will establish benchmarks for visual design, interaction methodologies, and UI responsiveness. In our agile team environment, your influence will extend to all user interactions, allowing for the rapid deployment of impactful features.What You'll DoLead the design and development of Sim's dynamic visual canvas—the real-time, drag-and-drop editor that is central to our platform.Architect and implement user-friendly UI systems tailored for complex agent-building workflows.Design seamless interactions for developers to create, test, debug, and deploy agents within the product.Maintain a fast, beautiful, and resilient user experience as workflows expand in complexity.Ensure visual correspondence with execution: what users perceive should match the operational output.Establish standards for front-end code, component architecture, design systems, and user ergonomics.Collaborate across the stack in our Next.js monorepo, delivering updates to production on a daily basis.Define and enhance UX/UI patterns, focusing on developer satisfaction.What We’re Looking ForA design-oriented engineer with robust experience in React and TypeScript.A strong intuition for UI/UX—your focus is on both aesthetics and functionality.Experience in developing intricate, interactive frontend systems such as canvas editors and collaborative tools.Demonstrated ability to create polished, user-centric developer tools.Comprehensive knowledge of front-end performance, animation, and responsiveness.A proactive mindset with a strong sense of ownership—helping shape the roadmap as well as executing it.

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.

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.

Join Us as a Full Stack Product Engineer - Agentic AIAt Vori, we are redefining the software development landscape. As we move towards a future powered by agentic systems—that design, generate, test, and deploy software continuously—we are on the cutting edge of technology. Our mission is to create a modern operating system for grocery that incorporates agentic infrastructure, transforming how retailers operate.The vision is ambitious: a self-driving store that utilizes AI agents to optimize pricing, inventory, merchandising, and operations seamlessly. To realize this vision, we are evolving from a company that simply delivers features to one that orchestrates intelligent agents to do so.Every engineer at Vori embodies the role of an AI Product Engineer, focusing on:Designing workflows for agentsBuilding systems of context and knowledgeCreating self-improving feedback loopsDeveloping products where AI is integralYou will collaborate across product, design, and infrastructure to transform innovative ideas into production-ready AI systems that retailers depend on daily.Key ResponsibilitiesYour role will involve:Designing and delivering agentic product systems beyond traditional software features.Working with product managers, designers, and clients to pinpoint areas where AI agents can enhance workflows.Architecting agent frameworks that integrate reasoning, planning, tool usage, and feedback mechanisms.Building foundational infrastructure for AI systems, including:Orchestration frameworksContext pipelinesEvaluation frameworksKnowledge systemsEvent-driven architecturesEngaging with the entire stack—from backend orchestration and data pipelines to user interfaces that make AI systems transparent and reliable.Rapidly prototyping, experimenting, and scaling promising ideas into production systems used by retailers.Integrating new AI capabilities and tools to enhance both product intelligence and engineering efficiency.

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.