Technical Staff Member - Applied Vision (Post Training)

With robust backing from prominent investors in Silicon Valley, Peregrine Technologies is at the forefront of empowering public safety organizations, governmental bodies at state and local levels, federal agencies, and private sector entities to tackle societal challenges with unmatched efficiency and precision. Our cutting-edge AI platform transforms fragme…

Weave builds advanced AI tools for drug development, aiming to help human experts bring medications to patients faster, more safely, and at lower cost. The Weave Platform integrates AI into regulatory workflows throughout the therapeutic lifecycle, supporting clients with technology tailored to the unique challenges of this field. The Director of Applied Artificial Intelligence leads the Applied AI team in the San Francisco Bay Area. This role shapes the technical direction of Weave’s AI work, oversees team culture, and manages growth as needed. The Director has final authority over AI architecture decisions and team personnel, reporting directly to the Head of Engineering. The Applied AI team works with Large Language Models (LLMs) and related technologies, such as agents and retrieval-augmented generation (RAG). Efforts focus on creating, evaluating, and deploying AI features that are reliable, controllable, and valuable within the Weave platform. Technical leaders at Weave remain hands-on, contributing to code, reviewing pull requests, and engaging in technical discussions. The Director balances technical involvement with team empowerment and serves as the main point of contact for scientists and engineers. Key Responsibilities Develop AI features that address customer needs and build user trust. Set and uphold high standards for analytical rigor, evidence-based decisions, and LLM expertise. Plan and execute AI architecture investments in collaboration with Product and Technical Leadership. Foster a culture that delivers valuable AI features to clients regularly and quickly. Establish and enforce quality standards to strengthen customer confidence. Keep the Weave platform aligned with current AI advancements. Recruit, manage, and retain top talent for the Applied AI team. Location San Francisco Bay Area, CA

Join Fieldguide as the Director of Applied Intelligence and lead our innovative team in harnessing the power of AI technologies to drive exceptional business solutions. You will be at the forefront of transforming data into actionable insights, ensuring our clients achieve their strategic goals.

About Matter IntelligenceMatter Intelligence is pioneering the future of vision AI by integrating a groundbreaking sensor capable of perceiving molecular chemistry, temperature, and 3D shapes with a Large World Model—our sophisticated intelligence engine tailored for the physical realm. This innovative system transcends mere visual perception; it comprehensively understands everything from a single pixel. We term this as Superintelligent Vision.Our distinguished team has contributed technologies to Mars missions for NASA/JPL, co-established and led infrastructure initiatives for OpenAI, developed advanced sensors for U.S. Defense, and created fundamental algorithms for spectral and 3D imaging. Together, we are committed to establishing the next frontier for vision and intelligence in the physical world.About the RoleAt Matter, we are developing technology that sits at the intersection of hardware, AI, and Earth observation. This position is uniquely positioned between Engineering and Operations.As the inaugural hire in this role, you will collaborate closely with various teams across Matter, including sensor engineers, ML researchers, satellite systems designers, sales, and leadership. Your primary responsibility will be to understand their workflows, pinpoint opportunities where intelligent agents can condense hours of work into mere seconds, and design these solutions. One week you might be crafting a multi-agent workflow for automating competitive intelligence tracking, and the next, you could be developing an internal tool that provides the hardware team with instant access to five different documentation systems. You will take ownership of challenges from discovery through deployment and continuous iteration.This position is not suited for individuals who prefer to follow a ticket queue. It is tailored for a developer with robust computer science fundamentals who can work autonomously, build trust within a demanding organization, and deliver production-grade agents that are essential to our operations.Key ResponsibilitiesAgent Development & EngineeringDesign, develop, test, and maintain production-quality AI agents and tools utilizing contemporary frameworks and APIs.Architect robust, secure, observable, and maintainable agentic systems.Create AI-native user experience patterns that facilitate seamless adoption: including human-in-the-loop checkpoints, auditability, graceful failure/rollback, and feedback mechanisms.Choose and integrate suitable tools, memory systems, and retrieval strategies tailored to each agent's specific use case.Produce clean, well-documented, version-controlled code, setting the standard for quality.Product Discovery & RequirementsEngage with stakeholders to gather requirements and translate them into effective AI solutions.

Join Arbital Health as an Artificial Intelligence Engineer, where you'll be at the forefront of innovation, developing intelligent solutions that transform healthcare. Your role will involve designing, implementing, and optimizing AI algorithms to enhance patient care and operational efficiency. Collaborate with cross-functional teams to tackle complex challenges and drive the future of health technology.

Dealpath is at the forefront of digital transformation in real estate investment, revolutionizing decision-making for the world's largest asset class. We are intensifying our commitment to artificial intelligence to expand the boundaries of what is achievable, and we are on the lookout for a proactive and visionary Principal Product Manager to lead our AI initiatives, foster product innovation, and drive business growth. In this strategic position, reporting directly to the VP of Product & Design, you will work closely with our CTO, SVP of Product, design, engineering teams, and senior executives from leading global investment firms such as Blackstone, Nuveen, Starwood, Oxford, CBRE, and JLL. Your goal is to leverage cutting-edge AI technologies to create products that facilitate smarter, faster, and more impactful real estate investment decisions. You will also play a crucial role in ensuring model quality, achieving success, and establishing thought leadership in the industry. The Importance of This Role AI is transforming virtually every sector, and Dealpath is strategically positioned to lead this change in real estate investment. As the Principal Product Manager for AI, you will: Shape and Drive the AI Vision: Develop an innovative AI strategy that seamlessly integrates with the overall product roadmap and achieves measurable business results. Lead Thought Leadership: Advocate for Dealpath’s AI advancements by producing content, hosting webinars, and interacting with clients and prospects. Join Us! Steer the AI Product Roadmap: Define, prioritize, and implement an ambitious AI product roadmap that balances immediate achievements with long-term platform vision, ensuring alignment with Dealpath's broader product and business objectives. Facilitate End-to-End Execution: Quickly prototype and test AI-powered solutions, build and maintain AI evaluations to validate model performance, and collaborate with AI/ML engineers to create proofs of concept. Drive cross-functional teamwork with AI/ML, front-end engineering, design, and marketing to launch polished, production-ready AI products into the market.

About ArtisanAt Artisan, we are pioneers in creating fully autonomous AI employees – not mere chatbots or copilots, but digital workers capable of performing meaningful tasks.Our flagship product, Ava, is an AI-powered Business Development Representative (BDR) utilized by hundreds of companies. Ava excels at researching leads, crafting and sending emails in clients' unique voices, managing complex outbound sequences, autonomously optimizing her performance, and even addressing objections while scheduling meetings. She is not just a tool; she is a collaborative teammate.As a proud Y Combinator W24 company, we have successfully raised over $35 million in funding and are currently achieving over $8 million in annual recurring revenue (ARR). We are now embarking on the development of Ava 2.0, which will redefine the capabilities of AI employees. The engineering challenges involved are substantial, and the scope of our project is vast.Role OverviewJoin our innovative team as the third Applied AI Engineer at Artisan! You will be instrumental in pushing the boundaries of AI employee capabilities and guiding our product's future direction.Evaluate LLMs: Select optimal models for various tasks while considering cost, latency, reliability, and accuracy.Architect Prompt Frameworks: Design agent behaviors for Ava's essential workflows such as email generation, chat interactions, meeting scheduling, prospect research, and more.Optimize Multi-Step Agent Chains: Implement retrieval-augmented generation (RAG), integrate web searches, and utilize tools like CRMs and APIs.Drive Infrastructure Decisions: Lead choices related to routing, orchestration, evaluation loops, and persistent memory for agents.Build Safety and Trust Mechanisms: Collaborate with the product team to design user guardrails, fail-safes, and success metrics.Explore Emerging Modalities: Investigate and deploy voice AI, talking head technology, and multi-modal reasoning to enhance Ava's human-like interactions.Design Autonomous Agent Workflows: Create workflows that enable strategic decision-making, real-time self-optimization, and measurable outcomes.Location: San Francisco, New York, or Remote USATeam: AIReports to: CPTO, Sam Stallings

rillet seeks an Applied AI Engineer based in San Francisco. This role centers on building and refining AI models that address concrete, real-world problems. Collaboration plays a key part, as work often involves teaming up with colleagues from various backgrounds to deliver effective AI solutions. Ongoing analysis and iteration help drive continuous improvement. Key responsibilities Design and implement AI models in partnership with cross-functional teams Analyze datasets to guide model development and optimization Use advanced AI methods to tackle practical challenges Experiment and iterate to enhance model performance over time Location This position is based in San Francisco.

OpenGov is looking for a Senior Analyst, Applied AI (G&A Intelligence) to join the Applied AI/Innovation team. This position centers on supporting General and Administrative (G&A) functions, especially HR, Talent Acquisition, and Enablement, by applying AI and workflow automation to real business challenges. Role overview This role focuses on identifying, prioritizing, and developing AI-powered workflows, tools, and copilots. The goal is to reduce manual effort, improve decision-making, and free up time for work that requires human judgment. The Senior Analyst will work closely with partner teams to understand their processes and find opportunities for AI-driven improvements. Day-to-day, the work involves managing the full lifecycle from problem identification to solution delivery, often collaborating with AI and data engineers as needed. What you will do Analyze complex, often unstructured data and manual workflows in G&A teams Design and implement AI-enhanced solutions using tools like Claude, ChatGPT, and no-code or low-code automation platforms Prioritize projects that have the highest impact on efficiency and decision quality Operate within the Applied AI team’s technical and governance framework Handle sensitive HR data with a high standard of confidentiality and compliance Requirements Strong analytical and problem-solving skills Process-oriented approach to improving workflows Familiarity with modern AI tools and automation platforms No requirement for production-level coding or deep HR technology experience Sound judgment and understanding of data confidentiality and HR compliance This position offers the chance to help shape the future of government operations by integrating applied AI into core business functions. Learn more about OpenGov’s mission and vision at OpenGov.com.

Join Perplexity as an Applied Machine Learning Engineer and be at the forefront of innovation in artificial intelligence. You will design, develop, and refine advanced AI models that enhance user experiences globally. Your expertise in machine learning will allow you to create scalable solutions for user personalization, query comprehension, and content discovery, catering to the curiosity of millions.Key ResponsibilitiesUtilize cutting-edge ML and LLM techniques to address challenges in:Personalization (LLM memory, context summarization, retrieval, and ranking);Query Understanding (intent modeling, rewriting, agentic decomposition);Content Discovery (feed ranking and surfacing).Conduct thorough evaluations of LLM/ML models through offline and online methods, designing comprehensive experiments and metrics that yield insights into quality and impact.Manage the full model lifecycle from research to deployment, including data analysis, modeling, evaluation, A/B testing, and iterative enhancements.Collaborate with cross-functional teams, including engineers, PMs, data scientists, and designers, to ensure AI implementations yield significant product enhancements.Stay updated on ML/AI advancements by assessing and integrating new research and algorithms into the product lifecycle.Preferred QualificationsOver 5 years of experience in developing and deploying robust ML/AI models for large-scale, user-centric or data-driven applications.Extensive knowledge in deep learning frameworks (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and ranking.Proficient software engineering skills (Python, production-level codebases, collaborative development).Comprehensive experience across the entire ML lifecycle: data analysis, feature engineering, model development, evaluation, and ongoing monitoring/improvement.Effective collaborator and communicator; thrives in fast-paced, cross-functional environments.Inquisitive, motivated by user/product impact, and passionate about advancing applied ML and AI.Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field (or equivalent experience).

Company OverviewEcho Neurotechnologies is an innovative startup in the Brain-Computer Interface (BCI) sector, pioneering advancements through superior hardware engineering and artificial intelligence solutions. Our mission is to develop state-of-the-art technologies that empower individuals with disabilities, enhancing their independence and overall quality of life.Team CultureBecome a part of a dynamic team of passionate and knowledgeable professionals. Our early-stage environment allows you to influence critical decisions that lead to significant and long-term impacts. We value ongoing learning and development, promoting cross-functional collaboration where your input is essential to our success.Job SummaryWe are looking for an adept Applied AI Scientist specializing in language and contextual modeling to enhance our team. The successful candidate will utilize machine learning and AI principles to design, develop, optimize, personalize, and miniaturize advanced language and context models for brain-computer interface applications, aiming to make a tangible difference in the lives of patients with physical disabilities.Key ResponsibilitiesLanguage modeling: Utilize your deep understanding of language models (LMs) to develop tailored solutions for brain-computer interface applications, including fine-tuning and customization of large language models (LLMs).Context modeling: Create and implement machine learning pipelines that facilitate real-time inference across multiple input streams, deploying both proprietary and industry-standard models to analyze audio, video, and application states.General ML practices & adherence to company standards: Focus on model dissection for enhanced interpretability, enabling the extraction of rich latent representations from extensive models for broader application.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.

SoFi is seeking an experienced and strategic Director of Cyber Threat Intelligence to lead our efforts in identifying and mitigating cyber threats. In this pivotal role, you will head our threat intelligence team, collaborating closely with cross-functional teams to enhance our security posture. You will be responsible for analyzing threat data, providing actionable insights, and developing intelligence reports that inform our security strategies.

Join our innovative team at AfterQuery as a pivotal Fullstack Software Engineer, playing a crucial role in developing data infrastructure that will influence the next generation of frontier models. As one of our first hires, you will take on significant responsibilities, managing projects from inception to completion, allowing you to witness the immediate impact of your work.About AfterQueryAfterQuery is a cutting-edge research lab dedicated to exploring the frontiers of artificial intelligence through innovative datasets and experimental approaches. We serve top-tier foundation model labs and leading AI research facilities.Located in San Francisco, CA, we have secured funding from prestigious investors, including Y Combinator and BoxGroup, along with notable figures from Google DeepMind and Meta GenAI, among others.Our founding team comprises experts from renowned organizations such as Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, and Stanford's AI laboratories.Why You Should ApplyExceptional Growth Potential: As one of the fastest-growing companies from Y Combinator, we aim to redefine industry standards.Founding Position: You will have the opportunity to shape our data infrastructure from the ground up.Equity and Advancement: Competitive salary and equity options, with opportunities to lead and develop an engineering team as we expand.Collaborative Environment: Work alongside a talented founding team with expertise from top firms.Your ResponsibilitiesDesign and scale intricate data capturing workflows across web technologies (Next.js) and desktop applications (Python).Develop and optimize robust data pipelines capable of handling high throughput and significant data loads.Collaborate with the founding team to outline product strategy and deliver features rapidly.Establish engineering best practices and set the foundation for future team expansion.QualificationsStrong proficiency in JavaScript (Next.js) and Python, with proven experience in developing full-stack web applications.Familiarity with serverless architecture and cloud functions for extensive data processing (GCP/AWS).Hands-on experience with storage solutions, caching (Redis), and search capabilities (Elasticsearch).

About UsAt Udacity, now part of Accenture, we are transforming the future of technology education! Our mission is to forge futures in tech by facilitating radical talent transformation in digital technologies. We provide an immersive online learning platform that supports corporate technical training in cutting-edge fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, and Cloud Computing. Our rapidly expanding global organization is at the forefront of bridging the talent shortage and addressing skills gaps faced by enterprises in their digital transformation journeys.As part of our commitment to empowering careers through tech education, we are seeking experienced AI professionals to mentor learners enrolled in our business-focused AI programs. Our learners typically include managers, executives, and senior professionals tasked with driving AI initiatives within their organizations. They engage with a structured Udacity curriculum and applied projects, and mentors play a vital role in enhancing their understanding, providing insights from real-world experiences, and relating course concepts to practical AI applications.This is not an academic position. We are looking for practitioners who have hands-on experience with AI in production settings and can share honest insights about successes, failures, and the reasons behind them.