AI Product Engineer Internship

About the RoleJoin Hex Technologies as a Product Engineer Intern this summer, where you will play a vital role in developing the next generation of AI-driven data tools.Our mission is to empower users to navigate and engage with data through natural language and advanced AI capabilities. As an intern, you will directly influence product features that are central to how data teams explore, analyze, and collaborate. No prior AI experience is necessary; we value curiosity, enthusiasm, and a readiness to engage with rapidly evolving technologies.This is an exceptional chance to learn from skilled engineers, deliver real features into production, and make significant contributions to one of the most exciting technical fields today.Your ResponsibilitiesAs a Product Engineer Intern, you will collaborate across the technology stack, working alongside mentors and closely with designers, product managers, and AI engineers to create engaging, reliable, and intelligent user experiences.Your tasks will include:Building real product features using React, Typescript, and/or Python that enhance the core workflows utilized by thousands of data practitioners.Collaborating with AI engineers to prototype and refine AI capabilities, develop prompting strategies, and enhance model quality for user-facing applications.Designing and refining end-to-end workflows contributing to features for collaborative editing, data exploration, debugging, and AI-assisted development.Tackling practical engineering challenges such as performance optimization, front-end UX enhancements, and API design to support AI-driven functionalities.Participating in the full development lifecycle, from ideation and design to implementation, testing, and launch.

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 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.

At Drivetrain, our mission is to empower businesses to make informed decisions. Our innovative financial planning and decision-making platform enables companies to scale effectively and meet their objectives predictably.As a remote-first organization based in the San Francisco Bay Area, Drivetrain was founded in 2021 by former Google employees. With the support of leading venture capital firms, we are rapidly growing and poised for success. Embracing Remote Work: We unite talented individuals from around the world, offering them a high degree of autonomy and fostering a culture of trust. Open and Transparent Environment: By providing our team with access to essential information, we encourage the emergence of their best ideas. Idea-Friendly Culture: We cultivate an atmosphere where innovation thrives, allowing anyone to propose great ideas and drive positive change. Customer-Centric Approach: Our product-led growth strategy emphasizes continuous learning from our customers to develop exceptional software.Role OverviewWe are on the lookout for enthusiastic Computer Science engineering interns who are passionate about Generative AI. You will engage in real-world projects involving Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to elevate our Financial Planning & Analysis (FP&A) platform. This internship provides a unique opportunity to gain practical experience at the intersection of AI and enterprise automation.Key ResponsibilitiesDevelop and Innovate: Create and prototype Generative AI solutions using RAG, agentic workflows, and LLMs tailored for FP&A applications.Collaborate: Partner with product and engineering teams to seamlessly integrate AI-driven functionalities into our platform.Optimize: Utilize strong computer science principles to design efficient algorithms, data structures, and scalable systems.Document and Present: Thoroughly document your projects, create workflow diagrams, and present findings to the team.Showcase: Complete and demonstrate comprehensive projects that exhibit your technical prowess and problem-solving abilities.

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 Juniper Square as an AI Engineer InternAt Juniper Square, we are on a mission to unlock the full potential of private markets, making them more accessible and efficient. Our work focuses on digitizing privately owned assets like commercial real estate, private equity, and venture capital, which represent a significant part of the financial ecosystem.As an AI Engineer Intern, you will play a pivotal role in one of our key strategic initiatives, collaborating with a talented team to integrate innovative AI solutions into our products. Your contributions will not be just side projects; they will directly impact the industry's landscape.This internship offers you hands-on experience in designing, building, and testing AI-driven features, providing you with valuable exposure to company leadership and access to world-class mentorship. This could be your stepping stone to a full-time position after graduation.If you have a solid engineering foundation and are pursuing a master’s degree in AI or a related field, we want to hear from you. Join us in making a real-world impact through technology!This is a remote opportunity based in the U.S. or Canada, running for 11 weeks at 40 hours per week, starting on Monday, June 8th.

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.

Join our dynamic team at Rhythms as a Senior AI Product Engineer. In this pivotal role, you will leverage your expertise in artificial intelligence to develop innovative products that enhance user experience and drive business success. You will collaborate closely with cross-functional teams to bring cutting-edge AI solutions to market.

About the RoleWe're excited to invite you to join wafer as a Spring Intern, where you will play a crucial role in shaping the future of AI infrastructure and GPU optimization. As part of our innovative team, you will work closely with full-time engineers to define our technical strategies and contribute to the development of the essential systems that drive our GPU optimization platform.Your ResponsibilitiesDesign and implement scalable infrastructure for AI model training and inference tasks.Guide the team in making technical decisions and architectural choices.Qualifications We SeekEssential Technical SkillsGPU Fundamentals: A strong grasp of GPU architectures, CUDA programming, and parallel computing methodologies.Deep Learning Frameworks: Skilled in PyTorch, TensorFlow, or JAX, especially for GPU-accelerated applications.Knowledge of LLM/AI: Solid foundation in large language models, including training, fine-tuning, prompting, and evaluation.Systems Engineering: Proficient in C++, Python, and potentially Rust/Go for developing tools around CUDA.Preferred BackgroundPublications or contributions to open-source projects related to inference GPU computing or ML/AI are advantageous.Hands-on experience in conducting large-scale experiments, benchmarking, and performance optimization.

Innovate with Us. Shape the Future. Our VisionCrafting everyday AGI. Reliable, consumer-grade agents that transform human–AI interaction for millions. Software should be proactive; it should collaborate with you, enhancing your capabilities daily.Why Join AGI, Inc.We are a pioneering team of distinguished founders and AI researchers from Stanford, OpenAI, and DeepMind. As leaders in mobile and computer agents, we are dedicated to scaling these innovations for consumers.Our AI solutions are built on a foundation of rigorous research, prioritizing trust and reliability as essential elements, not mere afterthoughts.With backing from top-tier investors who have supported the first generation of AI pioneers, we are on a mission to create the next wave: everyday AGI. (Watch the demo)If you envision opportunities where others see obstacles, we invite you to explore further.Role OverviewAs one of our inaugural engineers, you will play a crucial role in shaping our flagship product, influencing how millions engage with autonomous AI companions in their daily tasks.Key Expectations:Innovate from the ground up. Conceptualize in the morning and present a prototype by evening.Take charge of the entire tech stack. Manage backend, frontend, model orchestration, and observability, ensuring seamless transitions from ideas to product launches.Connect research with user satisfaction. Collaborate with scientists to translate breakthroughs into refined consumer experiences, launching them in days rather than quarters.Set the standard. Define the engineering, design, and reliability benchmarks that future hires will adhere to.Influence the market. Your contributions will not be confined to a sandbox; they will reshape how everyday individuals trust and engage with AI.You will spearhead initiatives from initial design through to production deployment, rapidly iterating based on real user feedback at the core of product development.Core ResponsibilitiesLeverage cutting-edge LLMs. Transform GPT-5, Llama, and other advanced models into consumer-ready solutions.

About Saris AIAt Saris AI, we are pioneering the future of work within the banking sector from our innovative bases in San Francisco and Montreal. Our applied AI startup is tackling an unprecedented $100 billion annual challenge, which is rapidly expanding, by pushing the limits of multi-turn AI agent systems.Our mission is to address complex automation challenges that necessitate long-context reasoning, tool orchestration across legacy systems, and stringent compliance protocols—where solutions are not yet defined.With a proven track record, we've successfully deployed real agents that manage actual customer workflows. As we expand our customer base and scale our operations, we seek highly technical individuals eager to make a significant early impact.The RoleWe are in search of a dynamic AI Product Manager specializing in Implementation and Onboarding to spearhead AI transformation initiatives in the back offices of banks and credit unions. You will be responsible for guiding customers through their transformation journeys, from initial scoping to full AI deployment, ensuring seamless execution and optimal return on investment. This role merges client-facing collaboration with product-centric documentation and delivery.This position encompasses both customer engagement and product scoping.Your Mission IncludesOverseeing onboarding and implementation across customer departments, ensuring that timelines, scopes, and expectations are synchronized.Conducting discovery calls to identify use cases, edge cases, and integration requirements.Drafting product scoping documents and comprehensive blueprints for agentic AI workflows.Engaging with executive stakeholders, offering clear and compelling insights on how Agentic AI contributes to measurable ROI and transforms operations on a large scale.Collaborating with cross-functional teams including sales, customer success, and product to guarantee customer satisfaction.Who You Are5+ years of experience in implementation, product management, consulting, or enterprise onboarding—preferably with AI products in the banking or credit union sector.Domain experience within the U.S. banking or credit union landscape.Proficient in workflow mapping, use case identification, and translating client needs into product specifications.Excellent communication skills to convey technical concepts effectively to diverse stakeholders.

About LightfieldLightfield is a cutting-edge AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction, transforming it into organized context—encompassing accounts, tasks, follow-ups, and insights—ensuring no detail is overlooked.We are redefining CRM by focusing on fundamental principles. Rather than imposing rigid systems, Lightfield adapts to the natural workflows of companies, automating processes and revealing insights that propel growth. We're crafting the CRM platform we've always desired: swift, intelligent, and truly beneficial.Our team, backed by prominent investors such as Greylock, Lightspeed, and Coatue, has previously created Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have also contributed to renowned products at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a highly motivated and innovative engineer who is passionate about harnessing LLMs to create exceptional product experiences. Join us at the forefront of AI product innovation, where you will develop industry-leading solutions to address critical customer challenges.As an engineer at Lightfield, you will take ownership of projects from conception to execution, collaborating with cross-functional teams throughout the process. You will also help shape our company's product and technical vision, learning from each project as we continue to expand.What You Will DoPartner with product leaders to pinpoint customer challenges, define requirements, and implement LLM-powered solutions.Utilize LLMs as reasoning engines to develop domain-specific AI assistants.Craft and refine prompts, employing techniques such as few-shot learning and chain-of-thought.Design and optimize end-to-end RAG pipelines and agent architectures to effectively utilize both public and proprietary data.Enhance the overall quality of AI agents (e.g. relevance, fidelity, latency) through empirical evaluation and iterative improvements.Create and improve systems and tools that facilitate high-velocity experimentation (e.g. LLM-powered automated evaluation) and personalized product experiences.Stay updated with the latest AI research and integrate cutting-edge techniques into our work.Contribute to defining technical direction and best practices for AI application development at Lightfield.Play a role in building a world-class engineering culture.

Join Distyl AI as a Frontend Product EngineerAt Distyl AI, we are at the forefront of applied artificial intelligence, collaborating with leading institutions to revolutionize operations for the AI age. Our clientele includes top-tier companies across telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.We specialize in researching and deploying cutting-edge technologies that facilitate AI-native operations for both our partners and our internal teams. Our innovative work covers areas such as self-constructing systems, reliable AI execution, and transformative products that enhance critical workflows. The impact of our technologies resonates across vast operations, influencing hundreds of millions of consumer interactions and millions of patient journeys.Distyl AI is supported by prestigious investors including Lightspeed Venture Partners, Khosla Ventures, and Coatue, achieving a 100% success rate in production deployment for our customers while maintaining profitability as one of the few sustainable enterprise AI companies.Key ResponsibilitiesDesign and develop user interfaces that empower operators to interact with AI systems for operational tasks, including knowledge capture tools and workflow orchestration applications.Engage collaboratively with AI strategists and domain experts to comprehend real-world workflows.Convert these workflows into effective product experiences that facilitate operator engagement with AI systems.Rapidly iterate from concept to prototype to production, ensuring swift delivery of impactful solutions.

Join Aircall, a groundbreaking unicorn company revolutionizing customer communications with AI-driven solutions used by over 22,000 companies globally. Our platform integrates voice, SMS, WhatsApp, and AI, creating a unified workspace that enhances revenue generation and accelerates issue resolution.Our philosophy is simple: empower teams to work more intelligently, not harder. With innovations like the AI Voice Agent for automating routine calls, AI Assist for streamlining post-call processes, and AI Assist Pro for real-time support, we enable our users to achieve greater revenue and efficiency.Headquartered in Paris, with significant operations in Seattle, Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City, Aircall is rapidly scaling its product while backed by top-tier investors and driven by continuous AI innovation.At Aircall, we pride ourselves on being ambitious, product-centric, and execution-driven with a focus on making a tangible impact through quick decisions and real growth.Our Work Culture: We prioritize customer satisfaction, data-informed strategies, and strive for impactful results. We cherish ownership, continuous learning, and swift execution. If you thrive in a collaborative and dynamic environment where trust and influence are paramount, you will feel right at home.We are seeking a Software AI Engineer to enhance our Engineering Productivity (EngProd) team.Your mission will be to drive AI integration throughout the engineering organization by developing AI-enabled tools and systems that significantly enhance engineer productivity—minimizing friction, automating repetitive processes, and embedding intelligence into daily workflows.This is neither a research position nor a customer-facing AI role.You will create functional, production-level AI solutions that engineers rely on daily, and you will be responsible for their adoption and real-world effectiveness.This position focuses on leveraging AI to enhance engineers' efficiency, rather than following trends.If you are passionate about building dependable systems that make a difference in daily operations, this role is for you.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

Every year, businesses allocate over a trillion dollars to freight movement across the U.S., yet the process of connecting trucks with jobs remains inefficient, manual, and disjointed. At FleetWorks, we are revolutionizing this system.Our team is developing voice agents that will redefine the complex freight booking landscape into a streamlined, intelligent marketplace. These agents eliminate the need for endless phone calls, texts, and emails, effectively linking truckers seeking payment with loads awaiting transport.Situated in the vibrant SOMA district, our compact yet dynamic team operates with a high degree of autonomy. As a Senior Product Engineer, you will take full ownership of your projects, overseeing feature development from inception to completion, engaging directly with customers, and contributing to our company culture.Discover more about our Series A funding here!

Rhythms develops AI technologies that help organizations operate with greater autonomy. The founding team previously built Ally.io, acquired by Microsoft, and the company is supported by investors such as GreenOaks, Madrona, and Accel. Rhythms has earned recognition from GeekWire and is listed among the top AI innovators for 2025. Its platform is already used by Fortune 100 firms, healthcare systems, and logistics organizations worldwide. The core platform uses a multi-agent AI architecture to automate business processes, monitor progress across systems, identify risks early, and reduce manual work. Integrations with Slack, Teams, Jira, and Linear help keep operations connected and efficient. Role overview This AI Product Engineer role is based in San Francisco and offers broad responsibility across multi-agent systems, large language model (LLM) orchestration, and the customer-facing product. The work is hands-on, with daily feature releases to production, direct customer interaction, and rapid feedback cycles. The position involves identifying problems, designing and implementing solutions, and taking ownership of the results. What you will do Develop agent systems that autonomously manage business operations, including OKR execution, MBR/WBR cadences, and Auto-Pilot workflows, with a focus on enterprise reliability. Oversee features from discovery and design through implementation and measurement. Design multi-agent systems that balance performance and reliability, making informed decisions on models, orchestration, and evaluation methods. Create chat-native product experiences that blend strong product sense with thoughtful systems design. Advance the AI stack by using tools such as Claude Code and Cursor, shipping new AI features weekly, and adapting as models evolve. Requirements 2–5 years of experience building production software, with hands-on work involving LLMs, agents, or AI-native products beyond prototypes or demos. Strong Python skills and familiarity with React/Next.js, along with experience in distributed systems. Customer-focused approach, prioritizing user impact over technical architecture alone. Track record of delivering agent systems that perform reliably in production settings.

About FiretigerAt Firetiger, we're dedicated to empowering our customers to create successful solo ventures with billion-dollar revenue potential.We envision a future where every business operates as a software entity, with the majority of coordination seamlessly managed by autonomous agents rather than human intervention. Our aim is to facilitate software companies in becoming 'self-driving'.Unlike traditional software engineering tools designed for human interaction, Firetiger redefines operations by allowing customers to articulate success criteria from a top-down perspective. We then deploy intelligent agents to continuously monitor and ensure these objectives are achieved.Founded by Rustam and Achille, former leaders at Cloudflare and Segment, Firetiger is backed by notable investors including Sequoia Capital, and executives from Cloudflare, Segment, Amazon, Anthropic, Cursor, and Plaid.We are in search of a Product Engineer who will craft the interfaces that connect users with AI agents, developing workflows, visualizations, and interaction patterns that render autonomous technical operations both intuitive and actionable.The RoleFiretiger's intelligent agents proactively identify production issues before they reach our customers or alert our CEOs. Here's how it operates:We gather telemetry data with high precision and automatically model the architecture and functionality of your system.Customers articulate their objectives in natural language (e.g., 'customers should have OAuth configured correctly') which remain pertinent as infrastructure evolves.Agents autonomously diagnose issues, uncover root causes, and initiate remediation actions.You will engineer the product experiences that translate these complex autonomous investigations into user-friendly tools that engineers genuinely appreciate using. Additionally, you will contribute to the development of the agents themselves.This role offers the opportunity to take ownership from start to finish: engage with customers, define what needs to be built, create it, and refine it until it meets the highest standards.What You Will AccomplishAgent interfaces: Design intuitive interactions for engineers with AI agents, ensuring accessibility and usability.