Agentic Engineering Manager - Stargate

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

Join Varick Agents as a Staff Engineer, where you will play a crucial role in developing innovative solutions that drive our company's success. We are looking for a highly skilled engineer who is passionate about technology and eager to tackle complex challenges. You will work closely with cross-functional teams to design, implement, and maintain software systems that enhance our operational efficiency and customer satisfaction.

ABOUT THE ROLE:As a Forward Deployed Engineer at Varick, you will play a pivotal hybrid role that merges engineering prowess with client engagement. You will collaborate directly with enterprise clients, akin to strategists, while also taking on the technical challenge of building solutions. Your responsibilities will include conducting audits, mapping workflows, identifying automation opportunities, and coding the solutions that bring those opportunities to life. You will be the vital link from the initial discovery phase through to deployment.This position demands an individual capable of engaging with C-suite executives, such as CFOs, to analyze their month-end closing processes and then architecting the necessary systems to enhance efficiency. The ideal candidate will possess both the polished client-facing skills and deep technical expertise, as we require a rare blend of both.

Coframe seeks Agent Engineers based in the SF Bay Area to design and build scalable systems focused on generating, testing, and monitoring user interfaces. This position centers on delivering reliable solutions that support a range of products and platforms. Key responsibilities Develop systems that create consistent, production-ready experiences for multiple platforms Implement automated tools for quality assurance and interface monitoring Enable rapid experimentation and ongoing optimization Role impact Agent Engineers at Coframe play a direct role in improving optimization, accelerating experimentation, and achieving measurable results across various products and platforms.

About Us:At DOSS, we are pioneering an AI-native ERP platform designed to revolutionize automation. Our dedicated team has reimagined 50 years of legacy software to significantly enhance the functionality of supply chain, operations, and finance organizations. As we rapidly scale, this is a unique opportunity to make a meaningful impact within DOSS and for our clients!Position Summary:The Agent Engineer role is situated within the product and implementation organization (PMO), focusing on engineering tasks. You will develop tools and productize agents that facilitate the entire DOSS customer lifecycle, from discovery to design, building, user acceptance testing (UAT), going live, and expansion. This position emphasizes systems engineering for agentic software, requiring you to design context, interfaces, instrumentation, evaluation, and reliability to ensure agents can effectively and safely perform real customer tasks consistently.Your mission is to transform ERP implementation into a mechanically scalable process, breaking down knowledge work into computable units manageable by GPUs rather than human intellect. You will play a key role in architecting, instrumenting, and operating this innovative factory.While prior ERP or industry experience can be beneficial, it is not mandatory. Our diverse team comprises individuals from various business and technical backgrounds. What we value most are:Core Responsibilities:Design agent workflows that align with real implementation tasks: intake, reasoning, actions, verification, and handoff across multiple customers and sectors.Create context systems: define what an agent should know, the timing of this knowledge, its grounding, and how to maintain accuracy as customer needs evolve.Productize agent capabilities into reusable components: playbooks, tools, schemas, guardrails, and templates that enhance functionality across clients.Instrument and assess: establish success metrics, develop automated evaluation frameworks, monitor failure patterns, and iterate swiftly.Oversee agents in production: ensure reliability through rollback strategies, escalation paths, audit trails, and continuous improvement cycles with the PMO team.Collaborate closely with PMO and product teams to transform complex business realities into clear, computable representations (data models, process graphs, etc.).

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

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

About 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.

Netic serves as the AI revenue engine powering essential services that form the backbone of the American economy.Backed by $43M in funding from top-tier investors including Founders Fund, Greylock, Hanabi, and Dylan Field, who led our Series B round, we've enabled our customers to secure hundreds of thousands of jobs across service industries in North America. Companies are now embracing an AI-first approach with Netic.Join our dynamic team comprised of relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard, as we bring cutting-edge AI solutions to the physical economy, tackling complex challenges with immediate and tangible impacts.As a Forward Deployed Agent Engineer, you will play a pivotal role in developing AI technologies that revolutionize operations for essential service businesses. This position merges innovative AI development with real-world impact, creating systems that autonomously manage intricate business processes.

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.

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.

About Our TeamAt OpenAI, our mission is to pioneer the secure advancement of agentic AI systems. Our dedicated team focuses on designing, implementing, and continuously improving security policies, frameworks, and controls that protect OpenAI’s essential assets, including user and customer data, from the unique risks posed by agentic AI technologies.About the RoleAs a Security Engineer on the Agent Security Team, you will be instrumental in safeguarding OpenAI’s cutting-edge agentic AI systems. Your responsibilities will include crafting and executing robust security frameworks, policies, and controls to ensure the protection of OpenAI’s vital assets and facilitate the safe rollout of agentic systems. You will create thorough threat models, collaborate closely with our Agent Infrastructure group to strengthen the platforms that underpin OpenAI’s most sophisticated agentic systems, and spearhead initiatives to enhance safety monitoring pipelines at scale.We are in search of a dynamic engineer who thrives in uncertain environments and can deliver impactful contributions from day one. You should be ready to deploy solutions swiftly while upholding a high standard of quality and security.We seek individuals capable of driving innovative solutions that will establish industry benchmarks for agent security. Your expertise in securing complex systems and devising robust isolation strategies for emerging AI technologies will be essential, all while prioritizing usability. You will effectively communicate across various teams and functions, ensuring your solutions are scalable and robust, while engaging collaboratively in a forward-thinking environment. In this fast-paced atmosphere, you will tackle intricate security challenges, shape OpenAI’s security strategy, and play a crucial role in promoting the safe and responsible deployment of agentic AI systems.This position is based in San Francisco, CA. We operate on a hybrid work model, requiring 3 days in the office each week, and offer relocation assistance to new employees.Your Responsibilities Will Include:Designing and implementing security controls for agentic AI – develop, execute, and refine identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate seamlessly with the Agent Infrastructure stack.Creating production-quality security tooling – deliver code that enhances safety monitoring pipelines across agent executions on a large scale.Collaborating...

Join Reducto as an Agent Experience Engineer, where you'll play a pivotal role in enhancing the interaction and journey of our agents. Your innovative contributions will help shape the tools and platforms that empower our team to excel in their tasks. This is a unique opportunity to work at the intersection of technology and user experience in a dynamic environment.

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

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.