AI Product Engineer - New Graduate

About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction and organizes it into valuable insights, accounts, tasks, and follow-ups, ensuring that no detail is overlooked.We are revolutionizing CRM by focusing on the actual workflows of organizations. Rather than forcing teams to adhere to rigid systems, Lightfield intelligently learns and adapts, automating processes and providing actionable insights that fuel growth. We are building the CRM solution we always wanted: rapid, intelligent, and genuinely supportive.Our team is backed by prominent investors including Greylock, Lightspeed, and Coatue, and has a proven track record, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Our members have extensive experience, having contributed to projects at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a dynamic, creative, and adaptable engineer who is passionate about crafting scalable, high-performance features and systems that offer cutting-edge AI product experiences.At Lightfield, engineers play a crucial role in project ownership from conception to execution, working collaboratively across various functions and pushing the boundaries of what is achievable in applied AI system development. You will partner with a talented team to provide industry-leading solutions while contributing to both the product and technical vision of Lightfield.Your ResponsibilitiesWork closely with product leaders to identify customer challenges, define requirements, and implement effective solutions.Design and maintain full-stack product features and systems from inception to deployment, ensuring they are reliable, scalable, and performant.Create observability tools and metrics that facilitate smooth operations, proactive issue detection, and ongoing improvement.Provide mentorship to team members, engage in code reviews, and help cultivate a strong engineering culture and best practices.Contribute to the development of an exceptional engineering team through recruitment, mentorship, and knowledge sharing.Your ProfileYou are enthusiastic about Large Language Models (LLMs) and eager to build systems that harness their capabilities.You are quick to adapt to a tech stack featuring TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.You possess solid software engineering fundamentals and are ready to tackle challenging problems.

The Role As a new graduate Software Engineer focusing on Agentic AI Systems, are you ready to apply your skills at the forefront of AI agents? This position could be the perfect fit for you. Join our dynamic team within the "agent lab" for Natural Language Understanding, where you will significantly contribute to our mission: enhancing the scope of work that can be reliably executed by AI agents at scale. You'll have the chance to shape the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory management, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools including state-of-the-art LLMs from providers like OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling challenging product and engineering issues, and maximizing value for our clients. If you're eager to make a meaningful impact alongside a talented, dedicated, and mission-driven team, we invite you to connect with us.

Backend Engineer - New Graduate OpportunityJoin LiteLLM, the leading AI Gateway, trusted by renowned organizations such as Adobe, Netflix, and NASA. Our innovative platform provides developers with secure and reliable access to Large Language Models (LLMs) and related services. We are seeking a passionate Backend Engineer (New Grad) to contribute to building robust guardrails and observability tools at an extensive scale.Role OverviewIn this role, you'll be instrumental in enhancing our guardrails and logging mechanisms. You will take ownership of the backend code ensuring that all guardrail calls are accurately logged, errors are made visible to users, and our observability tools are effective under high-traffic conditions. Your meticulous attention to detail in latency metrics, logging traceability, and backend guardrail registration will significantly influence user trust in our security and compliance features.Key ResponsibilitiesEnsure all guardrail and policy enforcement calls (e.g., applyguardrail) are logged and traceable within our SpendLogs and relevant database tables.Proactively identify and resolve silent failures in guardrail creation, registration, and policy application, ensuring robust error handling and clarity for end-users.Collaborate with observability integrations, including Datadog, Splunk, Prometheus, and OpenTelemetry, to maintain effective monitoring and logging for backend systems.Refactor and enhance our Prometheus integration to facilitate configurable latency histogram buckets that can scale for high-traffic environments.Work collaboratively across teams on backend engineering priorities such as performance, reliability, and security.QualificationsRecent graduate with a Bachelor’s or Master’s degree in Computer Science or a related field.Proficient in Python and familiar with backend frameworks like FastAPI or Flask.Knowledge of logging best practices, error handling, and secure backend development principles.Exposure to monitoring and logging platforms such as Datadog, Splunk, Prometheus, or OpenTelemetry.Familiarity with database integration and troubleshooting (e.g., PostgreSQL, Redis).A strong drive to deliver high-quality backend code with attention to detail.

Join Giga: Pioneering AI InnovationGiga is at the forefront of revolutionizing customer experiences through advanced AI technology. With a recent $61M Series A funding and a roster of prestigious clients like DoorDash, we are committed to developing real-time AI agents capable of understanding emotions, resolving issues swiftly, and scaling across the globe's largest enterprises.This is a pivotal moment for Giga as we aim to become the premier AI platform for enterprise automation, driven by our cutting-edge voice superintelligence. To reach our ambitious goals, we are on the lookout for talented engineers to join our dynamic team.Our engineers enjoy significant autonomy, allowing them to make impactful contributions from day one. With visionary founders, proven commercial success, and a clear trajectory towards becoming a generational company, this is a unique opportunity to be part of something extraordinary.Giga Secures $61M in Series A FundingPartnership Between DoorDash and GigaAt Giga, we empower the world's leading B2C companies to build trusted AI agents that enhance their support and operational workflows across various channels. If you are excited about being part of this innovative journey, we encourage you to apply!

About LoopAt Loop, we are revolutionizing the global supply chain with our innovative data platform. Our mission is to transform chaotic, unstructured data—often stuck in PDFs, emails, and outdated systems—into a structured and actionable 'source of truth' that automates payments and audits for Fortune 100 companies.We are building the financial backbone for a $100 trillion physical economy, ensuring that freight movements are efficient and that carriers receive payments instantly.Supported by leading investors such as Founders Fund, Index Ventures, and 8VC, we are experiencing rapid growth. We seek engineers eager to deploy production-level AI that drives the physical economy forward.About the New Grad ProgramUnlike traditional AI that remains confined to the browser, our technology interacts with the physical world. In this program, you will not merely develop features; you will be instrumental in creating the autonomous intelligence behind the Fortune 100’s global supply chain.This program is designed to compress three years of learning into just one year. From Day 1, you will engage with production AI systems, tackling real-world challenges and making a direct impact on customers. This intensive program requires a significant commitment, but upon completion, you will emerge as a competent entry-level engineer, ready to launch your career.The Schedule:Week 1 (Onboarding): Immerse yourself in our tools and domain. You will deploy code to production on Day 1 and master our development loop by the end of the week.Months 1-3 (Velocity): Complete three entry-level projects with increasing complexity. By the end of Month 3, you will be expected to operate as a fully independent engineer.Months 4-9 (The Rotation): Rotate onto different high-impact teams to broaden your expertise. Possible tracks include:Platform: AI infrastructure and Engineering Systems.Core Product: Audit, Billing, and Payments logic.Commercial: Revenue Activation and Forward Deployed Engineering.Special Projects: Collaborating directly with the CEO/CTO and other executives.Month 9+ (Graduation): You will demonstrate mid-level engineering performance and may be considered for immediate promotion.

Software Engineer - New Graduate at Eventual (San Francisco, CA)About EventualAt Eventual, we empower developers to create the next generation of AI systems by seamlessly integrating multi-modal data and models. Every innovative AI application—from foundational models to autonomous vehicles—depends on processing vast amounts of images, videos, and complex datasets. However, current data platforms like Databricks and Snowflake are tailored for traditional spreadsheet-like analytics, not the petabytes of multi-modal data essential for AI.Founded in 2022, our mission is to transform the way data—be it images, video, audio, or text—is utilized, making it as intuitive as working with tables while ensuring scalability to support production workloads. Our open-source engine, Daft, is specifically designed for real-world AI systems, coordinating with external APIs, managing GPU clusters, and addressing failures that traditional engines cannot handle.Already, Daft supports crucial workloads at industry leaders like Amazon, Mobileye, Together AI, and CloudKitchens. With backing from Y Combinator, Caffeinated Capital, Array.vc, and prominent angels including co-founders of Databricks and Perplexity, we are just beginning our journey—and we invite you to join us.Please note: This position is full-time and based in our San Francisco office (Mission District). We prioritize in-person collaboration, requiring our engineers to be in the office at least 4 days a week.Your RoleAs a Software Engineering New Graduate, you will collaborate with our engineering team to contribute to Eventual’s core products and our open-source engine. You will gain practical experience in building distributed data systems and products, while learning to design, implement, and test features that support real-world AI and ML workloads.You will receive mentorship from our diverse team (ex-Databricks, AWS, Nvidia, Tesla, GitHub Copilot, Pinecone) and have the chance to make impactful contributions that reach production.Key ResponsibilitiesAssist in developing features for Eventual’s distributed query engine.Contribute to the development of Eventual’s cloud service.Write clean, maintainable code with guidance from senior engineers.Collaborate with the team to design and implement solutions for real-world data challenges.Help with testing, debugging, and documenting core system components.What We Look ForA recent graduate or within 1 year of graduation in Computer Science or related field.Strong understanding of programming languages such as Python, Java, or Scala.Familiarity with distributed systems and cloud computing concepts.Ability to work collaboratively in a team environment.Eagerness to learn and adapt in a fast-paced environment.

About FurtherAIAt FurtherAI, we are pioneering the development of next-generation AI agents tailored for the insurance sector — a trillion-dollar industry ripe for innovation.Having successfully secured over $30M from leading investors, including Andreesen Horowitz, Y Combinator, Nexus, South Park Commons, and Converge, we have achieved a remarkable 10x revenue growth this year alone. Our clientele includes some of the most prominent names in insurance, with a recent partnership with a top five global insurance company. Our team merges extensive AI expertise with a robust background in building successful enterprises.We are now seeking a talented Software/AI Engineer (New Grad) to become a vital part of our early-stage team and influence both our product and culture.About the RoleIn this role, you will join our engineering team as a Software/AI Engineer (New Grad) and contribute to developing the foundation of FurtherAI’s AI Workspace for Insurance.You will engage in building end-to-end product features, which include integrating AI models, developing data processing pipelines, and designing scalable backend systems. You will work closely with senior engineers, AI researchers, and founders to enhance real-world insurance workflows, transforming how underwriters, claims adjusters, and brokers operate.This is a unique opportunity to be part of a high-performing technical team at an early stage and grow rapidly with the company.Why Join FurtherAI?High Impact: Contribute to technology that is reshaping the role of AI in modern insurance.Hands-On Learning: Work directly with senior engineers, AI scientists, and founders in creating applied AI solutions.Mission-Driven: Play a role in modernizing one of the world’s most intricate industries with practical and explainable AI applications.Early Team: Enjoy full visibility into product development, research, and customer impact, as you help establish the groundwork of our AI Workspace for Insurance as we expand.Responsibilities:Develop, test, and deploy production-quality code across our backend and AI systems.Collaborate with AI researchers to integrate and optimize large language models for insurance-related workflows.Create data processing and evaluation pipelines for unstructured document inputs, such as PDFs, emails, and images.Contribute to core infrastructure, from APIs to orchestration logic that drives our AI Workspace for Insurance.

Notion Labs Inc. develops tools that help individuals and teams organize their work. The platform combines documents, notes, projects, calendars, and emails, all enhanced with integrated AI for faster workflows and quick answers. Millions, including organizations like Toyota, Figma, and OpenAI, depend on Notion for its flexibility and time-saving features. Teamwork is central at Notion. Employees gather at the San Francisco office on Mondays, Tuesdays, and Thursdays, known as Anchor Days. Some positions may require more days onsite based on team priorities. Role overview As an AI Software Engineer (New Graduate), the focus is on building and improving AI-powered features for Notion’s platform. Engineers at Notion write code that reaches millions, tackle significant technical problems, and help shape product direction. Collaboration with design, product, and data teams is a key part of the work, shaping the next generation of productivity tools. AI Engineers work with large language models (LLMs), embeddings, and other advanced AI technologies to make the platform smarter and more helpful. Team assignments and focus areas are determined by business needs and team fit. Potential areas include: AI Product Engineering: Develop model-powered features, design user experiences, build APIs, manage retrieval and orchestration, and ensure reliability and quality. Model & Systems Engineering: Enhance model integration and performance, focusing on latency, cost, safety, and reliability. Build infrastructure for deploying and experimenting with models. Evaluation & Quality (Evals): Build evaluation frameworks and implement automated and human-in-the-loop testing to measure and improve model and product quality. What you will do Collaborate with your team to prototype and launch an AI-powered product enhancement. Take ownership of a production project, such as integrating a new model or feature into Notion’s infrastructure. Location This role is based in San Francisco, California. In-office presence is required on Mondays, Tuesdays, and Thursdays, with the possibility of additional days depending on team needs.

Join Us in Revolutionizing Healthcare AccessibilityAt Assort Health, we are committed to making top-tier healthcare available to everyone, everywhere, at any time. Our vision is to create a healthcare experience that is effortless and interconnected, characterized by rapid responses, transparent communication, and smooth access to care. Our innovative approach leverages AI technology to forge stronger connections between patients and providers, addressing the complexities of healthcare while catering to the unique requirements of each provider.As the leading patient experience platform powered by specialty-specific agentic AI, Assort Health integrates seamlessly with EHR/PMS systems and accommodates complex provider preferences, effectively minimizing hold times and inefficiencies that obstruct patient care.Since our inception in 2023, we've facilitated over 100 million patient interactions, drastically reducing average hold times from 11 minutes to just 1 minute. Our platform currently serves thousands of providers, achieving an impressive 98%+ resolution rate and 99% scheduling accuracy. With a patient satisfaction rating of 4.5 out of 5 based on 52,000 reviews, and a remarkable 20× revenue growth in 2025, we are on an exhilarating growth trajectory, expanding our influence throughout the healthcare sector.Your Role and ResponsibilitiesWe are searching for passionate, inventive, and resourceful product-oriented Engineers to join our dynamic team during this thrilling phase of our startup journey. If you are enthusiastic about playing a pivotal role in developing and scaling innovative products, this opportunity is your chance to make a substantial impact. You will gain invaluable hands-on experience in a fast-paced startup environment, working with advanced generative AI and voice/transcription models and technologies.As one of our initial 30 Engineers, your contributions will be fundamental to our company's growth and success. This role is ideal for self-starters willing to take on various responsibilities and guide products from conception to implementation. You will enjoy a high level of autonomy and must be comfortable navigating ambiguous situations with an entrepreneurial spirit.The anticipated start date for this position is Summer 2026.

Join FiretigerAt Firetiger, we are dedicated to empowering our clients to establish one-person companies that generate $1 billion in revenue.Our belief is that all companies will eventually transform into software entities, with most coordination being executed by autonomous agents rather than humans. We aim to enable software companies to become 'self-driving'.Traditional software engineering tools require manual data exploration and provide fragile alerts. The previous generation of solutions, such as Datadog, is geared towards helping humans comprehend software performance. At Firetiger, we redefine this paradigm. We start from fundamental principles, allowing customers to specify their vision of success for their business and product, and then deploy agents that consistently monitor to ensure these objectives are achieved.Founded by Rustam and Achille, former leaders at Cloudflare and Segment, we are backed by notable investors including Sequoia Capital and seasoned executives from Cloudflare, Segment, Amazon, Anthropic, Cursor, and Plaid.We are seeking a Product Engineer to develop the interfaces that connect humans and AI agents: crafting workflows, visualizations, and interaction designs that make autonomous technical operations intuitive and actionable.The RoleFiretiger's agents proactively identify production issues before they reach your customers or your CEO. Here's how our system operates:We collect telemetry data in great detail and automatically model your system and its functionality.Clients articulate their objectives in natural language (e.g., 'customers should have OAuth configured correctly'), which remain pertinent as infrastructure changes.Agents autonomously investigate problems, identify root causes, and initiate corrective actions.You will create product experiences that translate complex autonomous investigations into accessible tools that engineers will find valuable. Additionally, you will be involved in developing the agents themselves.This role does not involve merely executing pre-defined specs; you will take ownership of challenges from start to finish: engaging with customers, determining what to build, executing your vision, and refining it until it meets excellence.

Supported by premier investors from Silicon Valley, Peregrine Technologies empowers public safety organizations, governmental bodies at all levels, federal agencies, and private sector enterprises to tackle societal challenges with unparalleled efficiency and precision. Our innovative AI-driven platform transforms fragmented and isolated data into actionable intelligence, promptly highlighting critical information that enables swift and informed decision-making to enhance outcomes at every touchpoint. Currently, Peregrine serves hundreds of clients across over 30 states and two countries, impacting more than 125 million individuals, and we are poised to extend our reach into new enterprise markets and international territories.Role OverviewAs the adoption of Peregrine grows rapidly among government agencies, we are seeking motivated recent graduates to spearhead product deployment and maximize customer impact within our diverse client portfolio. Our Deployment Strategists play a pivotal role in executing Peregrine’s business vision. They act as the conduit for deploying our platform to deliver substantial value to our clients, while also driving our sales, marketing, and product feedback processes.As a Deployment Strategist, your responsibilities will include:Identifying operational workflows where our product can enhance efficiency for our clients.Creating data models, product solutions, and data pipelines to empower clients in executing those workflows effectively.Building strong relationships with client executives to align Peregrine’s offerings with their most pressing operational challenges.Delivering our product with market-leading quality and speed in complex, mission-critical environments.Your ProfileYou have a passion for coding that facilitates timely access to critical information for our clients.You thrive on crafting innovative solutions to intricate data modeling challenges that unlock value from disparate data sources.You are a self-starter who enjoys exploring new product, workflow, and business opportunities.You nurture lasting relationships with customers and colleagues.You are an empathetic listener, valuing customer feedback deeply.You excel in clear and persuasive communication, particularly in storytelling that resonates with executive audiences.

Airbnb’s Quality Reputation team focuses on building customer-facing products that improve user experience and trust. This group develops systems to assess listing quality, highlight standout offerings, and protect users through proactive measures. Engineers here work closely with design, product management, data science, legal, and marketing to deliver reliable solutions. Role overview This iOS Software Engineer position is open to new graduates interested in shaping Airbnb’s mobile experience. The role involves creating, maintaining, and improving iOS features, with an emphasis on delivering high-quality, dependable products for Airbnb’s global community. Some projects may include AI-driven features, where a foundation in machine learning can help develop smarter, more personalized experiences for hosts and guests. Engineers in this role contribute to a collaborative culture, seek and share feedback, and help onboard new teammates. Independence, curiosity, empathy, and clear communication are valued. Following best practices and a commitment to continuous learning are important parts of the job. What you will do Participate in team meetings to discuss priorities, share updates, and address blockers Write code to fix bugs, develop new iOS features, and refine UI components with a focus on code quality Location This role is based in San Francisco, CA or Seattle, WA.

About ArcadeArcade is pioneering the world’s first AI-driven platform for creating physical products, where creativity meets reality. Our innovative platform empowers users to design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe in democratizing creation, allowing anyone to produce physical goods as effortlessly as sharing online content, and we are developing the infrastructure to realize this vision for both consumers and businesses.With a substantial investment of $42M from an exceptional group of investors, including notable figures like Reid Hoffman and Ashton Kutcher, Arcade is set to revolutionize the industry. Our founders and investors are backed by a talented team from leading companies such as Google, Apple, and NVIDIA, driven by the mission to innovate at the intersection of AI, personal expression, and on-demand manufacturing.Role SummaryAs a Product Engineer specializing in AI, you will be a crucial player in shaping the future of design and commerce. Reporting directly to our Co-Founder & CEO, Mariam Naficy, you'll collaborate with engineers, designers, and AI researchers to deliver groundbreaking experiences. You will take ownership of key products from inception through execution, determining development directions and implementing them effectively.The ideal candidate is an innovative engineer capable of designing agent behaviors, writing production-quality code, prototyping workflows, crafting system prompts, debugging issues, and iterating based on user feedback. This role requires a proactive mindset and the ability to manage cross-functional initiatives in a dynamic startup environment.

About StradaAt Strada, we are revolutionizing the insurance industry with our AI-driven platform designed to enhance efficiency and streamline operations. Our innovative solution deploys intelligent AI agents across various communication channels, including calls, texts, emails, and chat, to optimize essential front-office workflows such as policy servicing and claims intake. Unlike generic AI platforms, Strada provides unparalleled domain expertise and product depth tailored specifically for the insurance sector.With backing from Y Combinator and prominent investors, we've automated over 1 million customer interactions for leading insurers, managing general agents (MGAs), and brokers, representing over $10 billion in annual premiums. As we continue to grow, our technology adoption is rapidly increasing within the industry.The insurance industry, one of the largest and most intricate sectors globally, is on the brink of transformation through modern AI technologies. Strada is pioneering the shift from outdated workflows to AI-native infrastructure, enabling real operations at scale amidst highly regulated environments.We are a compact, high-ownership team based in San Francisco, actively engaged in production systems at sophisticated insurance organizations. If you are eager to tackle challenging problems and make a significant impact on the future of a substantial industry, we want to meet you.Why Choose Insurance?Insurance plays a crucial role in the global economy, supporting businesses, helping families recover from disasters, and managing risks across industries. However, many processes within insurance remain stagnant, relying on outdated systems and phone calls. At Strada, we are committed to integrating AI into these workflows, making them faster, smarter, and more efficient—a $300 billion market ripe for innovation.Your RoleWe seek a passionate Software Engineer to join our team as one of the earliest engineering hires. In this pivotal role, you will work across the technology stack to develop the core systems that underpin our AI agents, from real-time voice infrastructure to integrations with various insurance platforms. This is a high-impact position where you will deliver production code from day one, learn rapidly, and grow alongside our company.What You Will Accomplish in Your First WeekDeploy your first pull request to production on your very first day—no lengthy onboarding, you're contributing immediately.Engage with our voice AI stack and learn how we automate thousands of insurance calls each day.Collaborate with the team, experience customer interactions firsthand, and gain insights into our operations.

At Mission Graduates, we are dedicated to enhancing the educational prospects of K-12 students in San Francisco's Mission District. Our commitment is reflected in our extensive after-school support services that annually benefit over 1,500 children, youth, and families. We envision a future where college education is the norm for families in the Mission, fostering a culture of academic excellence.We invite enthusiastic individuals to join our volunteer team at Mission Graduates’ Extended Day Program and Beacon Sites. This is a unique chance to make a significant impact on the lives of our students while gaining invaluable experience. Volunteer roles include:Elementary School Level TutoringMiddle School Level TutoringEnglish as a Second Language (ESL) TutoringSite SupportSpanish TutoringEmbrace the opportunity to create change and inspire the next generation through education!

About David AIDavid AI is pioneering the audio data research landscape, applying a rigorous R&D approach to dataset development akin to the methodologies used in AI labs for model creation. Our goal is to integrate AI seamlessly into real-world applications, with audio serving as the perfect entry point due to its inherent versatility and human connection. As the audio AI field progresses, the demand for high-quality training data becomes critical, and that's where David AI excels.Founded in 2024 by a team of experienced engineers and operators from Scale AI, David AI has quickly gained traction, serving prominent clients among FAANG companies and AI research labs. Recently, we secured a $50M Series B funding round from esteemed investors including Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, and First Round Capital.Our team embodies intelligence, humility, ambition, and a close-knit ethos. We are on the lookout for exceptional talent in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About Our Engineering TeamAt David AI, our engineering team is responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data for top AI labs and enterprises. We pride ourselves on our collaborative environment, comprising product engineers, infrastructure specialists, and machine learning experts dedicated to leading the charge in audio data research.We operate at a fast pace, taking ownership of our projects from conception through to production. Our team develops real-time processing pipelines capable of managing terabytes of audio data daily while deploying innovative generative audio models.About This RoleAs a Product Engineer at David AI, you will design and implement state-of-the-art tools that enable our users to leverage audio data effectively for training their AI models. You will collaborate closely with researchers to continuously refine our data collection methodologies.Your ResponsibilitiesDeliver full-stack features that will be utilized by thousands of users on a daily basis.Develop scalable systems that create essential data processing pipelines, extracting actionable insights from terabytes of audio data each day.Construct, deploy, and assess LLM and DSP-based solutions to enhance our clients' comprehension of intricate features within our datasets.Rapidly iterate on research hypotheses by collaborating with researchers and the operations team to deploy enhancements efficiently.

About Resolve AIAt Resolve AI, we are revolutionizing the field of software engineering by addressing the burdens of software maintenance and production troubleshooting. Our cutting-edge AI Production Engineer autonomously investigates and resolves complex system issues from start to finish.Founded by Spiros Xanthos and Mayank Agarwal, who were pivotal in developing OpenTelemetry and leading Splunk Observability, our leadership team boasts a history of two successful exits to Splunk and VMware.We have secured over $150 million in funding from prestigious investors such as Lightspeed, Greylock, Unusual Ventures, and notable individuals like Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn), and Fei-Fei Li (Professor, Stanford).The RoleWe are seeking AI Agent Engineers who meld robust engineering expertise with AI-driven innovation, and a steadfast commitment to enhancing customer outcomes. Your role will encompass not just delivering features but also fully grasping customer challenges and implementing solutions that tangibly enhance their experiences.The most accomplished software engineers spend considerable time determining what to build, rather than merely coding. With the emergence of tools like Claude Code and Cursor, this balance is shifting, and we believe this trend is beneficial.This position transcends traditional software engineering. It acknowledges that impactful engineering work today resides at the crossroads of advanced technical execution, deep customer understanding, and thorough evaluation of effective solutions.What You'll DoChampion customer success from start to finish. Collaborate closely with customers, design partners, and internal teams to outline technical requirements, define success metrics, and establish delivery timelines — and then take the initiative to build and launch the solutions.Develop meaningful product features. Design and implement features across the entire technology stack, focusing on addressing real-world problems encountered in production rather than abstract concepts.Seamlessly integrate with customer environments. Dive deep into understanding customer systems and ensure our solutions fit perfectly within their workflows.

About Tavrn:Tavrn is at the forefront of legal technology, revolutionizing the plaintiff law landscape through cutting-edge AI solutions that automate medical chronologies, demand letters, and medical record retrieval. Our mission is to establish ourselves as the premier AI-powered solution provider across personal injury, medical malpractice, workers' compensation, SSDI legal practices, and more. We aim to extend our innovative technology into related sectors such as eDiscovery, healthcare, insurance, and other data-heavy industries.Position Overview:We are on the lookout for creative and driven Product Engineers to become part of our vibrant product team. In this role, you will be crucial in designing, developing, and enhancing AI-driven software solutions, significantly contributing to our innovation and product excellence initiatives.Key Responsibilities:Enhance and refine Tavrn's AI-based software solutions, ensuring they meet high standards of quality, scalability, and performance.Work collaboratively with sales and engineering teams to gain insights into customer needs and translate them into innovative technical solutions.Conduct product testing, debugging, and optimization to guarantee an exceptional user experience.Assist with technical implementation and troubleshooting during customer onboarding and integration phases.Document technical designs, processes, and systems comprehensively.

Join David AI as a Staff Product EngineerAt David AI, we are pioneering the field of audio data research, applying a rigorous R&D methodology to create robust datasets that empower AI models. Our vision is to integrate AI seamlessly into daily life, with audio serving as the key medium. As the demand for high-quality training data grows, we position ourselves as the solution.Founded in 2024 by a team of seasoned engineers from Scale AI, we quickly garnered the trust of leading FAANG companies and AI labs. Our recent $50M Series B funding round was led by prestigious investors including Meritech and NVIDIA, underscoring our potential in the audio AI landscape.We pride ourselves on our dynamic, collaborative, and ambitious team, and we are on the lookout for exceptional talent in research, engineering, product, and operations to help us redefine audio AI.About Our Engineering TeamOur engineering team is at the forefront of innovation, building the infrastructure, platforms, and models that convert raw audio into valuable data for top-tier AI labs and enterprises. We are a close-knit group of product engineers, infrastructure experts, and machine learning specialists who are dedicated to establishing the first-ever audio data research organization.We operate with agility, taking ownership of our projects from inception to deployment, delivering production-ready solutions on a daily basis. Our engineers design real-time pipelines that manage vast amounts of speech data while deploying advanced generative audio models.Your RoleAs a Staff Product Engineer, you will spearhead our Product Engineering team, developing state-of-the-art products that enable our clients to harness audio data effectively for model training. You will collaborate with researchers to continually refine our data collection methodologies.Your ResponsibilitiesLead the development of full-stack features, rapidly iterating to deliver daily innovations to our users.Construct scalable systems that process terabytes of audio data and extract actionable insights.Deploy and assess LLM- and DSP-based solutions to enhance customer understanding of their data.Facilitate research iterations and deployment interfaces for data collection in collaboration with researchers and operations.

Join Arcade AIAt Arcade, we're pioneering the world's first AI-driven physical product creation platform, transforming imagination into reality. Our innovative platform empowers users to design, purchase, and sell unique, manufacturable products using natural language and generative AI technologies. We believe in democratizing the creation of physical goods, enabling everyone to create as effortlessly as they engage online, and we are constructing the infrastructure to actualize this vision for both individuals and businesses.With $42 million raised from a prestigious group of investors including Reid Hoffman and Ashton Kutcher, Arcade is at the forefront of a revolutionary market. Our leadership team, comprising seasoned entrepreneurs and experts from top tech companies like Google and Apple, is dedicated to reshaping the landscape of AI, personal expression, and on-demand manufacturing.Role OverviewAs our inaugural full-time Product Manager focused on AI, you will play a pivotal role in shaping the future of design and commerce through AI. This position is designed for a highly talented and ambitious individual who thrives in a fast-paced environment and exhibits a founder's mindset. You will be reporting directly to Co-Founder & CEO Mariam Naficy, collaborating closely with engineers, designers, and AI researchers to deliver groundbreaking experiences that define our category.In this role, you'll take ownership of crucial products from the outset, developing innovative workflows, crafting system prompts, defining product strategy, and overseeing cross-functional execution within our dynamic startup.Key ResponsibilitiesLead the design and launch of impactful projects that achieve cultural relevance and comprehensive ownership, effectively establishing a new product category.