Jobs in United States

Bar Back Pt in United States

764 active opportunities · Updated October 2026

Explore current bar back pt jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -100%

From $205.8K/yr

Quick readStrong listing-quality and freshness signals

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Internal Communications shapes Coinbase's employee experience and reinforces our mission, strategy, and culture. This Senior Internal Communications Manager role is an individual contributor reporting to the Director of Internal Communications. They will partner directly with executives and senior leaders to tell powerful stories, drive change, and define what best-in-class internal comms looks like in an AI-native company What you’ll do: Define and own the internal communications strategy for your portfolio of stakeholders, serving as a trusted advisor to senior leaders on messaging, approach, timing, etc Ensure employees have the information and context they need to do their job. Create and improve systems, including AI-powered tools and workflows, that scale communications across a globally distributed, remote workforce. Measure the effectiveness of communications programs, leveraging data for continuous improvement Develop a deep understanding of the company mission, strategy, and culture to reinforce in all communications. Proactively identify and implement AI-native approaches to internal communications, from content creation and personalization to measurement and feedback loops, raising the bar for what the function can deliver at scale. Support and execute org or company-wide live events (i.e. drafting talking points, advising on event

ReactAWSAIGo
C
📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -100%

From $218K/yr

Quick readStrong listing-quality and freshness signals

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Software Engineer on the Core Automation team within the Platform group, you'll architect and build the Agentic AI systems that are transforming how Coinbase operates. This team is reimagining customer support and compliance processes for a fully AI-driven world, designing intelligent agents, orchestration frameworks, and measurement systems that deliver delightful customer experiences at scale. You'll own the technical direction for production AI systems, working across cross-functional teams to bring this vision to reality while building primitives that scale automation across the company. What you'll do: Architect and build Agentic AI systems that power Coinbase's compliance automation and other Operations, from intelligent agents through orchestration and guardrails Design foundational APIs and measurement frameworks that ensure AI agents are grounded, relevant, and reliably deliver customer delight with minimal hallucination Lead technical direction for distributed systems underpinning AI automation, defining architecture patterns and strategic roadmaps in partnership with engineering leadership Build reusable primitives and orchestration solutions that enable AI-powered automation to scale across multiple domains beyond the initial customer support and compliance focus Mentor engineers on AI system design techniques, coding standards, and production-

AWSAIGoFinance
C
📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -100%

From $148.8K/yr

Quick readStrong listing-quality and freshness signals

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff IT Technical Program Manager on the IT Operations team, you'll own and drive eDiscovery and information governance programs across Coinbase. Embedded with cross-functional leadership, you'll serve as the connective tissue between domain experts and engineering teams, identifying automation opportunities, prototyping solutions with AI and workflow tooling, and driving adoption across the organization. You'll lead the technical strategy behind defensible eDiscovery processes and entity-specific retention capabilities, ensuring Coinbase meets its regulatory obligations at scale. What you’ll do: Own the end-to-end strategy and execution for eDiscovery and information governance solutions spanning multiple business functions and enterprise platforms. Partner with engineering teams to deliver technology programs that transform eDiscovery capabilities from hold through collection, review, and production (EDRM). Drive the translation of regulatory and compliance requirements into actionable system configurations, policies, and controls across platforms such as Slack and Google Workspace. Lead program timelines, dependencies, and risk escalations while maintaining audit-ready documentation including regulatory control matrices, playbooks, and SLAs. Build and validate comprehensive test plans for eDiscovery controls and information governance tooling to ensure defen

AWSAIGoFinance
B
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -83%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As a senior member of Baseten's Platform Team, you will own the systems that let every engineer at Baseten prove their code works before it reaches production. Our product runs mission-critical AI inference for customers who measure downtime in dollars per second, which means our internal bar for correctness, performance, and failure tolerance has to be exceptional. Your focus is the full testing stack: fast and reliable unit test tooling, integration harnesses that spin up realistic environments on demand, load and performance testing for GPU-backed inference workloads, and resilience testing that deliberately breaks things so our customers never have to find out what happens when a node dies mid-request. This is a builder role with org-wide leverage. You won't be writing tests for other teams — you'll be building the frameworks, harnesses, and feedback loops that make writing good tests the path of least resistance, and you'll set the standards for what "well-tested" means at Baseten. RESPONSIBILITIES Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against. Build and maintain unit, integration, load and performance testing frameworks Design end to end test infrastructure that provisions realistic dependencies

PythonDockerKubernetesCI/CD
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📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -88.9%

From $192K/yr

Quick readStrong listing-quality and freshness signals

As Engineering Manager for Threat Detection, you will lead a high-performing team that powers Datadog's detection program. Threat Detection is the organization responsible for keeping Datadog ahead of an evolving threat environment: closing coverage gaps faster, raising the bar on signal quality, and shipping detections that hold up under the scale and complexity of cloud-native infrastructure. Your team will combine direct detection expertise, platform engineering, and applied AI to ship detections at a pace and scale traditional rule-writing alone cannot match. Examples of what your team will work on include detection-authoring agents, the detection platform that powers every rule in production, coverage analysis, alert triage and response automation, and the evaluation infrastructure that holds these systems to a high bar of fidelity. Detection authorship is a shared responsibility across the organization, and your team will contribute both by building the systems that scale our authoring capacity and by writing detections directly when their domain expertise is the right tool. You will partner closely with our Security Incident & Response Team (SIRT), Cyber Threat Intelligence (CTI), AI Engineering teams, and Datadog's broader Security organization. This is a high-impact leadership role: you will grow a team of security and software engineers responsible for building and executing our detection and AI strategy. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the strategy, roadmap, and execution of Datadog Security's shift to AI-accelerated detection and response. Drive development of high-fidelity detections as a shared responsibility across the organization, ensuring your team's systems and direct contributions raise the bar on coverage and

PythonCI/CDRestAI
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📍 Us Cananda, United States· Full-time
✓ Quality checkedCompany trend -95.9%

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Web Presence & Platform (WPP) is organized into two pillars—Platform and Presence. The Platform pillar builds internal systems, tooling, and infrastructure to support the web. The Presence pillar owns the public-facing storytelling across stripe.com and link.com—including our homepage, product landing pages, industry and solutions pages, and other high-impact go-to-market surfaces. Together, we shape how millions of people understand what Stripe is and what it can do for them. Designers on the Presence team work at the intersection of craft and impact—balancing clarity, polish, and systems thinking with strategic storytelling and experimentation. We collaborate closely with engineering, marketing, content, and product to deliver work that is not only beautiful, but measurably moves the business. What you'll do As a Designer on the Presence team, you'll own design across two distinct and high-visibility surface areas—Link (the Stripe one-click checkout experience and link.com) and Bridge (bridge.xyz—the Stripe stablecoin financial infrastructure, operating as its own standalone web property). These are some of the most strategically varied and creatively demanding surfaces in our portfolio—each with its own audience, brand voice, and design challenge. You'll operate with a high degree of autonomy—driving work from brief to launch, navigating ambiguity with confidence, and setting the quality bar for your focus areas. You'll shape the desi

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Golf. A golf role or an employer dedicated to golf.
📍 Monona, Wisconsin, United States
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Topgolf | Bartender Job Description ABOUT TOPGOLF Topgolf is where golf meets a great time. We’re a high-energy sports entertainment venue where every shift is different, every guest brings their own energy, and the people who work here make it all happen. If you’re looking for a place to grow, have fun, and be part of something bigger than a job description, you’re in the right place. WHAT WE’RE SEEKING Are you someone who knows their way around a shaker and can craft a perfect cocktail while keeping the energy high and the guests smiling? Do you thrive behind the bar, love connecting with people, and know how to read a room? Can you keep the drinks flowing, the register balanced, and the bar stocked all while delivering an unforgettable guest experience? We’re looking for a Bartender who brings genuine hospitality and real craft to every pour. You’ll be the heartbeat of the bar mixing drinks, managing the flow, and making sure every guest leaves happy. If you love people, love a fast pace, and take pride in your bar work, this is your role. THE ROLE The Bartender is the anchor of Topgolf’s bar experience executing every order with speed and precision, keeping the bar clean and well-stocked, and delivering the kind of warm, attentive service that turns first-time guests into regulars. This role requires deep knowledge of spirits and mixology, responsible alcohol service, and the kind of genuine hospit

Human Resources
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📍 Santa Clara, United States
✓ Quality checkedCompany trend -13.7%

The Silicon Co-Design Group (SCG) sits at the crossroads of architecture, design, marketing, operations, and productization. Our work spans early architecture through final product delivery across Datacenter, Gaming, Robotics, Automotive, and Embedded markets. We work closely across functions to deliver chips that change what is possible. System Integration sits at the intersection of all of them. It is the layer where every architecture, design, software, and manufacturing decision meets reality. When something breaks late in a program, it usually breaks here first. We are hiring a Senior Manager to lead this team in the US and partner closely with teams globally. Your work will sit on the critical path of every NVIDIA silicon program, and the bar you set for system integration is the bar we ship to! The two hardest, highest-leverage problems in this seat: Find critical silicon issues earlier — often before software is production-ready. Left-shifting post-silicon coverage is the highest-value thing System Integration can do. Standing up wide-area testing as a repeatable capability is a core part of the role. Keep programs on milestone when upstream dependencies slip. Validation plans collide with reality every program! The team needs new strategies, not just contingency plans, to keep moving when software, firmware, or methodology slip. You will design and run those strategies. What you’ll be doing: Plan and execute post-silicon feature integration, PVT validation, and wide-area testing across NVIDIA’s GPU, SoC, and CPU programs. Build wide-area and in-system test as a repeatable capability that shifts post-silicon coverage left, so issues surface before we are production-ready. Lead resolution of the most complex system-level issues, RMAs, and HW/SW interaction problems with creative workarounds and focused lab experimentation. Deve

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📍 New York, New York, United States
✓ High-confidence listingCompany trend -88.9%
Quick readStrong listing-quality and freshness signals

The way products get built is changing. Agents write a growing share of shipped interfaces, designers work in code, and a design system's output is bigger than a component library. At Datadog we're redefining ours for that world, and evolving how the product looks and feels at the same time. DRUIDS is the design system behind every Datadog surface, used daily by more than a hundred designers and thousands of engineers across thirty-plus products. You'll lead the team that owns it: designers and design engineers who set the system's direction, hold the quality bar for what ships, and build the tools that make designing in code the default way to work. The team partners closely with product designers, frontend engineers and PMs across the company. This is a hands-on leadership role in a technical, engineering-forward company. You'll be expected to have a point of view and defend it, to be the person the design org asks about quality, and to make the call when work isn't good enough yet. Much of what a design system should be right now hasn't been settled — here or anywhere else. If you're a designer who never stopped making things, and you'd rather decide what a system should be than maintain one that already exists, this is the role. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead the team and set its direction Decide what DRUIDS owns, what it ships, and what stays with product teams. Own where the system goes next. Have a view on what a design system should be, and argue for it. Turn direction into a roadmap, and work with partners on what gets built and when. Coach the designers and design engineers on your team, be clear about what each person owns, and hire as the team grows. Own craft and quality Own the craft and quality of components, patterns,

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📍 New York, New York, United States
✓ High-confidence listingCompany trend -88.9%
Quick readStrong listing-quality and freshness signals

Datadog's brand is entering a new chapter, and we're looking for a Principal, Brand Editorial to own and evolve how we sound. As the founding writer on a multidisciplinary team of designers, illustrators, motion artists, and producers, you'll shape the ideas and narratives that define how Datadog shows up in the world. You'll also build the systems, standards, and tools that help thousands of colleagues scale brand voice and the company. You'll go deep on how the products actually work, then turn that complexity into clear, powerful ideas. You'll pair exceptional craft with real conceptual ambition, and raise the bar on both. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Define and evolve Datadog's writing style, tone, and point of view, setting a consistent quality bar across campaigns, events, web, video, social, product marketing, and other brand experiences. Concept and write high-impact brand work, including campaigns, videos, launches, and major event experiences, as well as ongoing work across social, web, and sales enablement. Build practical voice and messaging systems, including style guidance, messaging frameworks, and writing standards that teams can apply confidently in their day-to-day work. Encode Datadog's voice into AI-enabled writing workflows by designing prompts, custom skills, evaluation approaches, and guardrails that help teams create and improve on-brand drafts. Partner early with Brand, Creative, Product Marketing, Web, Corporate Communications, and other teams to establish messaging before execution and strengthen briefs, concepts, critiques, and production. Scale writing quality beyond your own output by coaching internal partners and enabling agencies and contractors to apply Datadog's voice consistently without creati

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15 days ago
📍 United States· Remote
✓ Quality checkedCompany trend +310%

Become a part of our caring community The Counsel provides a full range of legal advice and services on litigation, arbitration, and related legal matters and strategy. The Counsel will collaborate internally and with outside counsel on case strategy, discovery, and resolution of disputes. The Counsel will exercise independent judgment and decision-making on litigation issues and related tasks and work under modest supervision. This role requires applying in-depth and broad knowledge of litigation practices, frequently taking full ownership of legal matters, and organizing and managing individual litigation matters from inception through trial. Use your skills to make an impact Required Qualifications Juris Doctor degree from an ABA-accredited law school Active and licensed membership in a state bar association At least 4 years of experience in litigation Strong project management and organizational skills across all facets of litigation from inception through trial Ability to organize and successfully manage a number of case matters simultaneously Strong skills in communicating complex legal issues to various stakeholders Ability to mitigate risk by acting as a trusted advisor whose strategic thinking, pragmatic problem-solving, and proactive counsel are sought by clients Ability to work independently under general supervision and in team settings Experience with large-scale e-discovery Preferred Qualifications Experience with provider disputes and healthcare reimbursement disputes Experience with alternative dispute resolution (ADR), including arbitration Understanding of Medicaid/Medicare laws and regulations Work at Home Requirements:

Project ManagementRecruitment
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📍 Remote, United States· Remote
✓ Quality checkedCompany trend -13.7%

NVIDIA DGX Cloud is an AI Factory designed to power the next generation of AI and industrial-scale breakthroughs. As a Principal Engineer for Security Architecture, within our Security Engineering organization, you will own a core security domain of the AI factory: the architecture, the paved road that delivers it, and much of the code underneath. You will hold the security design bar across DGX Cloud from inside the teams doing the building, and this is a founding seat on a new team. Security Engineering is a new organization at DGX Cloud, accountable for the security outcome of the platform, and Security Architecture is the function inside it that holds the design bar. Security here is fleet horizontal and stack vertical, so your work will cross every DGX Cloud engineering organization: you will embed with the teams building GPU clusters, control planes, and services, join their designs as a participant rather than an approver, and leave behind systems in which an entire class of risk is no longer possible. There is no architecture review board here and no approval queue. You are a senior IC with deep security domain knowledge, and the security bar holds because you helped set it and then helped ship it. What You Will Be Doing: Own a Security Domain End to End: Take architectural ownership of a core domain of DGX Cloud security, from the design through the system running in production. That could be tenant and GPU workload isolation, workload identity, infrastructure and network, supply-chain provenance, hardened baselines and patching, or deploy-time policy and admission control. Embed with the Teams Building It: Join the design early, write the code, and help land it. The posture is not "you did this wrong." It is "here are the considerations we need to meet, I will help, let's go to work." Build Paved Roads, Not

KubernetesLinuxArtificial IntelligenceAI
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📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -84.1%
Quick readStrong listing-quality and freshness signals

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Some of our publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec About the Role We’re hiring a Model Policy Manager to shape model behavior for U.S. government use, with a focus on national security applications. You’ll define nuanced policies and translate them into training and evaluation criteria, helping models navigate high-stakes scenarios while preserving their usefulness and capabilities. In this role, you will: Develop model policies that guide safe and useful behavior. Build evaluations, identify policy gaps and model failures, and use findings to improve policies and training. Work with research, engineering, and domain experts to support safe, reliable deployment. You might thrive in this role if you: Bring relevant experience in AI safety, policy, or risk assessment. Have strong judgment and can turn complex safety questions into clear, practical policies. Have the technical fluency to work hands-on with model data and evaluations. Are motivated by OpenAI’s mission and the responsible use of

AWSRestAIGo
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -84.1%
Quick readStrong listing-quality and freshness signals

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Our relevant publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec GPT-Live ChatGPT Images 2.5 About the Role We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and maintain model policies for audio, image, video, and omni-modal behavior. Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards. Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration. Develop policy artifacts that support model training, evaluation, and deployment, including behavior i

AWSRestAIGo
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📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -88.9%

From $192K/yr

Quick readStrong listing-quality and freshness signals

Code Intelligence sits at the intersection of agentic engineering and product, running agents against real customer source code in production. This is a chance to own an AI-native team at the center of a business-critical growth area. High visibility, high leverage, and squarely in the fastest-growing part of the AI agent space. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Lead and develop an existing engineering team, building trust, setting technical direction, and establishing a high bar for ownership and execution. Own the roadmap and execution across four areas: source code indexing, PR Agentic Reviewers (agents that generate artifacts like metric descriptions on customer pull requests), shift-left work (extending code-writing agents to make direct changes to customer repos), and closed-loop feedback and evaluation systems including LLM-as-judge. Set the team's product strategy independently while partnering day-to-day with product teams company-wide — this team functions as its own product org. Build and operate scaled LLM and agent software in production: LLM APIs, agent frameworks, harness and tool-use layers, prompt and eval tooling, and closed-loop evaluation systems that measure and improve agent output quality. Partner closely with customers and internal stakeholders to deeply understand needs and translate them into technical direction. Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time. Who You Are: Experienced engineering manager with a track record of shipping products with direct customer interaction, not just internal stakeholders. Hands-on experience building scaled LLM software: LLM APIs, agent frameworks, prompt and eval tooling, h

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