Lead AI Platform Engineer

About Tribe AI:At Tribe AI, we are dedicated to empowering enterprises to unlock the full potential of artificial intelligence. Many large organizations aspire to leverage AI for operational transformation, yet lack the necessary capabilities. This presents a unique opportunity for us.As a pioneering AI-native services firm, we collaborate with enterprises t…

About the Role:At Auditdata, we recognize that over 250 million individuals globally suffer from hearing loss and often lack the essential care they need. Our innovative cloud platform is designed specifically for hearing care professionals, empowering them to fit devices, manage patient care, and efficiently run their clinics.We are excited to launch a new AI Platform team aimed at integrating advanced intelligence into our workflow. This includes features such as real-time transcription of clinical sessions, automated clinical documentation, and AI-driven processes that minimize administrative burdens, allowing clinicians to concentrate on providing top-notch patient care. This is a unique opportunity to work on greenfield projects that have a direct positive impact on patients.We are seeking a proactive and technical leader to lay the groundwork for this initiative: launching production-ready AI services, defining the system architecture, and developing a small, dynamic team.Key Responsibilities:Develop and manage AI services in production on Azure, ensuring they are reliable, observable, and cost-effective.Oversee the transcription pipeline that transforms clinical discussions into structured, actionable data.Implement LLM-powered features for documentation and data transformation, incorporating safety controls suitable for clinical environments.Establish a reusable “AI workflow layer” to facilitate the integration of AI capabilities by product teams without the need for redundant orchestration, permissions, and traceability.Define platform interfaces (APIs/SDKs) to ensure easy adoption across the engineering organization.Lead by example: mentor fellow engineers, evaluate design proposals, and elevate the overall quality of work (approximately 30% leadership and 70% hands-on work).Success Metrics:The AI Platform is recognized as a trusted internal resource utilized by multiple product teams for various AI functionalities.The transcription, LLM document generation, and agent framework are efficient, reliable, and cost-effective in a production setting.The AI platform has a clear roadmap that aligns with product objectives and architectural goals, with transparent trade-offs and priorities.You are acknowledged as the primary technical authority within the organization.

About Tribe AI:At Tribe AI, our mission is to empower enterprises to unlock the potential of artificial intelligence within their operations. Many large organizations aspire to leverage AI for transformative operational efficiencies, yet often lack the necessary expertise. This gap presents a unique opportunity for us to assist them.As an AI-native services provider, we collaborate with leading enterprises to create and implement cutting-edge AI products that drive significant business results. Our strategic partnerships with OpenAI and Anthropic give us unparalleled access to the latest models and go-to-market strategies in the industry.About the Role:We are looking for a seasoned Product Manager to lead our AI Platform team. In this key role, you will be responsible for ensuring that all projects utilize our platform's capabilities to significantly enhance both profitability and quality across the organization. You will spearhead our platform strategy, collaborating closely with project teams to optimize platform usage and iteratively enhance our AI functionalities.Key Responsibilities:Connect to Sales Pipeline: Work in tandem with sales teams to grasp upcoming project requirements, prioritize platform features in line with market needs, and develop value propositions that facilitate deal closure.Co-pilot Support: Collaborate directly with active project teams through one-on-one sessions to provide platform expertise and ensure effective implementation.Feedback Collection & Impact Measurement: Monitor essential metrics to quantify the platform’s value, gather user feedback, and continually enhance the platform experience.Standardize Features: Identify successful project-specific implementations that can be standardized and integrated into the core platform.ROI Analysis: Create and maintain detailed ROI models that illustrate the business advantages of platform integration across various projects.Ensure Platform Reliability: Lead efforts to enhance production reliability by managing issue resolution, coordinating with engineering teams, communicating with impacted clients, and incorporating reliability insights into the platform roadmap.About You:7+ years of product management experience, with a strong track record of successful technical product delivery.Proficient understanding of AI technologies and their applications in business contexts.Exceptional communication and collaboration skills, with a knack for translating complex concepts into actionable insights.

Plasmidsaurus helps scientists worldwide by streamlining sequencing. Researchers from leading institutions and companies rely on this platform daily. With a global network of labs, the company delivers fast, affordable sequencing results, and has recently expanded into RNA-seq to broaden its genomics reach. The team is focused on building a universal sequencing platform designed for efficiency and global scale. Role overview The Lead Engineer for AI Infrastructure in Platform Engineering sets both technical direction and management strategy for the company’s compute, data, AI, and security infrastructure. This position oversees the entire sequencing operation, from laboratory devices to data delivery. What you will do Oversee core services that coordinate laboratory devices, including robots, sequencers, and on-premises Linux servers, as well as the data ingestion pipeline. Develop cloud infrastructure and data pipelines for storing, processing, and delivering terabytes of sequencing data. Design systems to manage millions of bioinformatics tasks, handling queue management, workflow orchestration, and scheduling. Build AI infrastructure and internal tools to support autonomous systems, including: Quality Scientist Agents: Monitor operations, detect anomalies, and escalate quality or reliability concerns. Logistics Agents: Coordinate global transportation of samples to labs and carriers. Bioinformatics Coding Agents: Run adaptive analyses on varied sample types with different data distributions. Culture The team values initiative and a strong sense of ownership. High agency and responsibility shape how work gets done at Plasmidsaurus.

About Stack AIStack AI is an innovative no-code platform that empowers users to design, test, and deploy AI workflows using large language models. Our intuitive drag-and-drop interface enables teams to seamlessly connect data sources with AI models, facilitating the development of production-grade applications such as chatbots, document processing pipelines, and database Q&A tools, all without the need for coding.As we transition from thousands to millions of users, we require a dedicated technical leader to enhance our backend systems. This is where you come into play.The RoleWe are in search of a Staff Backend Engineer to take ownership of our platform's core infrastructure. In this pivotal technical leadership role, you will influence our architectural framework, define engineering standards, and make key infrastructure decisions that will shape the scalability of Stack AI.You will collaborate directly with our founders and product leaders, navigating the balance between speed and sustainability within our fast-paced startup environment, where your contributions will have a significant impact on the entire product.What You'll DoDesign and scale core systems — Architect, develop, and manage the backend services that drive our no-code AI platform, encompassing everything from the API layer to the data pipeline.Lead identity and authentication infrastructure — Oversee our SSO, SAML, and OIDC integrations, ensuring our authentication framework meets enterprise-level standards and scales with our growing customer base.Establish technical direction — Set forth design patterns, service boundaries, data modeling strategies, and long-term infrastructure plans.Mentor and uplift the team — Enhance team performance through design reviews, collaborative coding sessions, knowledge sharing, and the establishment of best practices throughout backend engineering.Enhance reliability and observability — Proactively identify performance bottlenecks, optimize efficiency, and advance our infrastructure to prevent issues before they escalate.What We're Looking ForRequired Qualifications6+ years of backend engineering experience, demonstrating a history of operating at the Staff level or serving as a technical lead on complex, production systems.Extensive knowledge of SSO, SAML, and OIDC — with hands-on experience in building or managing identity and authentication systems.Comprehensive understanding of identity provider (IdP) architecture and enterprise authentication methodologies.

About UsTetraScience is a pioneering leader in Scientific Data and AI, driving the Scientific AI revolution by creating and industrializing AI-native scientific datasets. Our innovative lab data management solutions are transforming scientific use cases and yielding AI-driven outcomes.As a prominent figure in this emerging market, TetraScience has surpassed all competitors in revenue generation. In the past year, leading companies in computing, cloud, data, and AI infrastructure have recognized TetraScience as the gold standard, engaging in co-innovation and strategic partnerships. For more details, visit our Newsroom.As part of your application process, we invite you to explore the Tetra Way letter, penned by our co-founder and CEO Patrick Grady. This document is essential for understanding our core values and ethos, and we encourage you to reflect on its content to determine your alignment with our company culture. If you join our team, embodying its principles will be expected on a daily basis.Position OverviewWe are on the lookout for a Lead Software Engineer to advance our scientific search platform, moving beyond conventional keyword search to unveil cutting-edge capabilities in chemical search, semantic search, and natural language processing. You will engage in a dynamic intersection of AI/ML, cheminformatics, knowledge representation, and distributed systems, empowering scientists to access and interpret complex experimental datasets, chemical entities, assay results, and unstructured laboratory documents.As the technical leader of the Search Platform team, you will architect, design, and implement innovative search functionalities while managing the supporting infrastructure. You will set an exemplary standard for system development, mentor fellow engineers, and contribute to the strategic roadmap for search capabilities and platform enhancements. This role entails maintaining scalable and reliable services, constantly refining the platform as we broaden our search offerings. Collaboration with Applied AI Scientists, platform engineers, and product teams will be crucial in delivering high-performance search services that facilitate discovery, analysis, and decision-making throughout the bio-pharma R&D lifecycle.If you are driven by the passion to develop scalable search systems, enhance scientific retrieval, and support production-scale AI workloads, we would be thrilled to connect with you.

Join us in revolutionizing healthcare.At Qualified Health, we’re pioneering the integration of Generative AI into the healthcare sector. Our robust infrastructure provides essential guardrails for safe AI governance, the creation of healthcare-specific agents, and real-time monitoring of algorithms, collaborating with top health systems to enact real change.This position is not merely a job; it’s a chance to shape the future of AI in healthcare, tackle intricate challenges, and create a lasting impact on patient care. If you’re ambitious, innovative, and eager to make swift progress, we would be thrilled to have you join our team.Be a part of the future of healthcare.

About the Role wizdaa is looking for a Lead Frontend Engineer to guide the development of our AI-driven platform. This is a remote position open to candidates based in LATAM. The role centers on taking ownership of frontend design and architecture, with a strong focus on scalability and performance. Main Responsibilities Design and oversee frontend architecture using React and TypeScript, building solid foundations for production systems. Make independent architectural decisions that support scalability, maintainability, and high performance. Develop and improve shared component libraries and design systems across the codebase. Create scalable frontend patterns to promote consistency and streamline development. Set and maintain quality standards for all frontend code, including both AI-generated and manually written code. Translate unclear product requirements into clear technical solutions. Shape strategies for system design, performance optimization, testing, and developer efficiency. Work within an AI-first approach while upholding strong engineering practices. What to Expect This role involves quick decision-making and a hands-on approach to raising technical standards. The environment moves quickly, and the team values engineers who take initiative and drive improvements across the frontend stack.

Agiloft is looking for an AI Data Platform Lead based in the United States. This role centers on building and improving data platforms that use artificial intelligence to support business operations. Role overview The AI Data Platform Lead partners with teams from different areas of the company to design, develop, and refine data solutions. The focus is on using AI to make processes smarter and more efficient. What you will do Develop and enhance data platforms with AI-driven features Work closely with cross-functional teams to align data solutions with business needs Optimize data architecture for performance and scalability Who succeeds in this role Strong interest in artificial intelligence and data architecture Experience collaborating across departments Focus on driving efficiency and intelligence through technology

At ClickUp, we’re not merely creating software; we’re shaping the future of work! In a landscape cluttered by work sprawl, we've envisioned a superior solution. That’s why we introduced the first genuinely unified AI workspace, bringing together tasks, documents, chat, calendar, and enterprise search, all powered by context-driven AI. This innovation empowers millions of teams to transcend silos, regain their time, and achieve unprecedented levels of productivity. At ClickUp, you will have the unique opportunity to learn about, employ, and pioneer AI in ways that will not only influence our product but also redefine the future of work itself. Join our dynamic and innovative team that is pushing the boundaries of what’s possible! Role Overview:We are on the lookout for a talented and seasoned Senior AI Engineer – AI Platform to become a vital member of our ClickUp Engineering team. In this pivotal role, you will contribute to the development of the core AI platform and utilize large language models (LLMs) to provide intelligent features throughout ClickUp. Your focus will be on backend systems that facilitate scalable, reliable, and secure AI-enabled functions, while also engaging directly with LLMs to address real user challenges and foster product innovation.Key Responsibilities:Design, architect, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models.Utilize LLMs and other AI technologies to develop and enhance ClickUp’s intelligent functionalities, collaborating closely with product and engineering teams to deliver impactful solutions.Develop and sustain robust APIs and backend systems that allow seamless integration of AI-driven features into ClickUp’s core platform.Establish infrastructure for model serving, monitoring, logging, and automated evaluation to guarantee high reliability and performance of AI services in production.Integrate with various LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies to optimize performance and cost.Promote the adoption of best practices regarding AI privacy, security, and compliance, including data anonymization, secure data handling, and adherence to regulations.Enhance platform performance, scalability, and cost-effectiveness by leveraging cloud-native technologies and distributed systems.Stay updated with advancements in AI infrastructure, MLOps, and LLM applications, proactively integrating relevant innovations into ClickUp’s AI platform.Collaborate across functional teams to drive AI solutions forward.

About Collective Collective helps solopreneurs manage business formation, bookkeeping, tax services, and community through a single, integrated platform. The company’s technology and advisor team aim to give self-employed individuals the same tax advantages as larger organizations, so members can focus on their work instead of paperwork. Collective has been featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, and TechCrunch. Backers include General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, and Google’s Gradient Ventures. Role Overview: Product Lead for Core Platform & AI This role shapes the foundation of the Collective member experience. The Product Lead for Core Platform oversees core infrastructure: the unified task system, dashboard, messaging layer, and shared UI components. These elements support all vertical products at Collective. Reporting directly to the CEO, this person will build a new function from scratch. The role includes integrating AI at the platform layer and setting standards that other product teams will follow. What You Will Do Define and drive the vision, strategy, and roadmap for the Core Platform, including the unified task system, dashboard, messaging infrastructure, and common components that shape every member’s experience. Establish and maintain the System of Record for tasks and communications, ensuring all vertical product teams (Payroll, Accounting, Tax, etc.) deliver a consistent and streamlined member journey. Design the AI integration layer and develop strategies for how AI support interacts with the task framework to proactively assist members, reduce support volume, and resolve issues before human intervention is needed. Set technical standards for task schemas, notification logic, lifecycle states, and component contracts, so vertical teams can build on the platform without disrupting the member experience. Work with Internal Tools and Operations to ensure human-in-the-loop workflows have the visibility, automation, and tools needed to support members efficiently, while moving toward automated solutions where AI can handle the workload. Location San Francisco

Join the dynamic Platform Engineering team at Updater as a Lead Platform Engineer. We are looking for a technical leader who excels in collaboration to create significant impact within our organization. You will spearhead essential initiatives such as enhancing deployment velocity, improving observability, ensuring system reliability, and enriching the developer experience. This role involves working closely with product teams, project managers, and various stakeholders to deeply understand their workflows and challenges.Your mission will be to construct the infrastructure and tools that empower engineers to deliver faster and with greater peace of mind. We’re talking about implementing GitOps workflows, optimizing Kubernetes configurations, ensuring comprehensive Datadog observability, and automating processes to make deployments seamless. This is platform engineering at its finest: pragmatic, impactful, and focused on enabling our broader engineering team.

About Us: Artera is an innovative AI startup dedicated to creating advanced medical artificial intelligence tests aimed at personalizing therapy for cancer patients. Our mission is to revolutionize medical decision-making, making it more tailored for patients and physicians worldwide.In the role of Machine Learning Engineer at Artera, you will be an integral member of the AI Platform team, focusing on developing scalable and efficient data processing pipelines and model training frameworks. Collaborating closely with AI model developers, fellow machine learning engineers, and our platform engineering team, you will ensure that our model developers can depend on high-performance, large-scale training processes and seamlessly deploy optimized models into production environments.

Join Coupa, where we revolutionize business margins through our community-driven AI and industry-leading total spend management platform. Our Coupa AI is powered by trillions of dollars in spend data from a vast network of over 10 million buyers and suppliers worldwide. We provide you with the tools to predict, prescribe, and automate intelligent business decisions that enhance operational margins.Why Choose Coupa? Innovative Technology: At Coupa, we lead the charge in innovation, utilizing cutting-edge technology to provide our clients with unparalleled efficiency and visibility in their spending. Collaborative Environment: We prioritize teamwork and communication, fostering a culture of transparency, openness, and a collective commitment to excellence. Global Influence: Become a part of a company where your contributions significantly impact our clients and the global marketplace.Explore more about our culture on the Life at Coupa blog, where our employees share their experiences.The Role of a Principal Engineer at Coupa:As a Principal AI Platform Engineer at Coupa, you will spearhead the architectural vision that fuels our next-generation Autonomous Spend Management platform. Your role will involve designing intelligent, adaptive systems that empower businesses to optimize spending, enhance supplier collaboration, and operate with increased autonomy and scalability.

Join our innovative team at CampMinder as a Senior AI Platform Engineer, where you'll lead the development and implementation of cutting-edge AI technologies to enhance our platform's capabilities. This role offers the opportunity to work remotely or from our Boulder, CO office, collaborating with a dynamic team dedicated to transforming the camp experience through technology.

Join BlueFlag as a Principal Software Engineer, where you will spearhead the design and implementation of innovative cloud-native applications, services, and robust data platform capabilities. This fully remote position calls for a skilled technical leader who excels in building comprehensive production software, while also managing cloud infrastructure, Kubernetes orchestration, and data engineering practices essential for secure, enterprise-grade platforms.This role transcends traditional platform responsibilities; we are looking for a visionary leader capable of guiding software-engineering-focused initiatives, which include APIs, backend services, and full-stack web applications. You will also oversee teams tasked with deploying and maintaining the foundational cloud and data tools essential for these applications, such as Databricks, Synapse, Starburst, Immuta, and Collibra. Additionally, you will play a pivotal role in shaping our approach to AI-enabled applications, focusing on agent-based workflows built on governed data and a reliable infrastructure.Key ResponsibilitiesSoftware Engineering LeadershipDesign, develop, and sustain production-grade software (services, APIs, and web applications) adhering to rigorous engineering standards: code quality, testing, observability, and operational readiness.Facilitate design reviews, set engineering standards, and mentor engineers across various projects—particularly those with a software-heavy focus.Create integration layers and service patterns that connect applications with data platforms, identity systems, and enterprise tools.Champion modern software development lifecycle (SDLC) practices, including trunk-based development, a strong code review culture, automated testing, and predictable release workflows.Cloud, Kubernetes, and Platform EnablementDesign and manage Kubernetes-based application platforms, establishing deployment standards, networking protocols, upgrade strategies, reliability measures, and day-2 operations.Implement and refine CI/CD pipelines and release automation for both applications and infrastructure, including GitOps methodologies where applicable.Build and sustain infrastructure-as-code (e.g., Terraform) and automated environment provisioning on Azure or AWS.Lead engineering teams in deploying and maintaining enterprise platform tools like Starburst, Immuta, Collibra, Databricks, Synapse, and other related services.Formulate and execute plans for cloud migrations and deployments, along with modernization strategies for application and data workloads.Data Engineering and AI EnablementDevelop and maintain data pipelines and supporting services that facilitate analytics, machine learning, and AI-driven applications.Collaborate with stakeholders to devise practical strategies for AI agents, infrastructure, and application enablement (e.g., orchestration patterns, knowledge integration, evaluation and monitoring) in secure environments.Why Choose BlueFlag

Join MaintainX as a Platform Engineer specializing in AI Builder. As part of our innovative team, you will play a crucial role in designing and implementing AI-driven solutions that enhance our platform's capabilities. Your expertise will help us streamline processes and improve user experiences.

At WHOOP, we are dedicated to enhancing human performance and extending healthspan through innovative solutions. Our mission is to empower individuals to reach their peak performance and enjoy longer, healthier lives. Utilizing advanced AI technologies, we transform continuous physiological data into meaningful insights and actionable recommendations. The AI platform is vital to our vision, converting raw physiological signals into personalized guidance that our members can implement daily.We are seeking a Senior AI/ML Engineer to play a crucial role in scaling our AI-driven experiences, which include WHOOP Coach, AI-powered Support, and various intelligent features across our product suite. In this pivotal position, you will be responsible for overseeing essential components of the AI Platform that power our internal AI Studio, such as evaluation pipelines, fine-tuning workflows, LLM observability, and experimentation tools. You will collaborate closely with product teams and data scientists to translate real user needs into robust, impactful AI systems that evolve based on actual usage.

A new era in space exploration is upon us. True Anomaly is on the lookout for talented and ambitious individuals ready to engineer groundbreaking technology that addresses the future challenges in engineering, manufacturing, and operational aspects concerning space security and sustainability.OUR MISSIONThe peaceful utilization of space is vital for ongoing prosperity on Earth, impacting everything from communications and finance to navigation and logistics. True Anomaly develops innovative technologies at the crossroads of spacecraft, software, and AI, enhancing the capabilities of the United States, its allies, and commercial partners. We are committed to safeguarding global security by ensuring equitable access to space and promoting sustainability for all.OUR VALUESBe the offset. We foster asymmetric advantages through creativity and ingenuity.What would it take? We challenge assumptions to achieve ambitious results.It’s the people. Our team is our competitive edge; we perform better together.YOUR MISSIONAt True Anomaly, AI-assisted work represents the most significant force multiplier available to us as we advance. It accelerates our building, delivery, and scaling processes. We are investing in AI as a core operational capability, not merely a side project, and this role is crucial in actualizing that vision.As a Senior AI Platform Engineer, you will design and implement the infrastructure, tools, and integrations that empower every team across the organization to leverage AI within their workflows. This is not a research position; it's a hands-on role where you will deliver practical capabilities that engineers, program managers, operators, and business teams rely on daily to enhance productivity and output quality.Your responsibilities will be diverse and dynamic. One week you might establish on-premises GPU infrastructure, the next you could be developing connectors between AI models and internal systems, followed by crafting custom applications for specific business workflows. You will also play a vital role in platform-level technical decisions regarding AI providers, tools, and architectures. Additionally, you will assist in delivering AI training and enablement across the company, including office hours, informational sessions, and hands-on resources.

Join OpenVPN Technologies, Inc. as we embark on an exciting journey to develop cutting-edge AI tooling throughout our organization. This is a unique opportunity for a visionary AI Platform Engineer to take complete ownership of a greenfield project, crafting the foundational infrastructure, governance, and operational standards from the ground up.Your ResponsibilitiesAI Developer Tooling & Enablement• Lead the deployment and management of AI-assisted development tools such as Cursor, Copilot, and Claude Code across engineering teams.• Establish access controls, license management, and usage policies that align with SOC2 and ISO 27001 standards.• Create cost tracking and reporting mechanisms for AI tool expenditures, providing leadership with insights into usage patterns.• Streamline the integration of these tools for engineers while ensuring security and compliance.Internal AI-Powered Workflows• Collaborate with interdisciplinary teams to identify and build AI applications, including RAG pipelines and automation workflows.• Assess and recommend the best tooling and frameworks based on team needs.• Define the responsibilities between Infrastructure as a Service (IaaS) and consuming teams, establishing clear boundaries.Governance, Security & Compliance• Guide the development of data governance policies for LLM usage, specifying what data can be used in models and how outputs are stored and audited.• Ensure that AI infrastructure meets SOC2 and ISO 27001 controls and is ready for audit verification.• Regularly report on AI adoption, costs, risks, and organizational usage to leadership.AI/ML Cloud Infrastructure• Set up and manage AI/ML infrastructure primarily using Google Cloud Platform (GCP) and Vertex AI.• Design Terraform modules and Infrastructure as Code (IaC) patterns adhering to existing team conventions.Cost Management• Implement visibility into AI/ML infrastructure costs and establish controls for resource management, such as spot instances and auto-scaling policies.• Analyze build-versus-buy decisions for AI/ML infrastructure components and services.