Staff MLOps Engineer, LLMOps - San Francisco Only

Join Us in Building a Safer WorldAt TRM Labs, we specialize in blockchain analytics and AI solutions designed to empower law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in combating fraud and financial crime. Our innovative platforms harness blockchain intelligence and AI to trace financial flows, identify suspicious activities, and provide comprehensive threat assessments. Trusted by leading organizations globally, TRM is dedicated to creating a safer and more secure environment for all.Our AI Engineering Team focuses on pioneering next-generation AI applications, particularly in the realm of Large Language Models (LLMs) and agentic systems. Our goal is to develop resilient pipelines and high-performance infrastructures that facilitate the swift, safe, and scalable deployment of AI systems.We manage vast data pipelines, ensure rapid model serving, and maintain the observability and governance essential for making AI production-ready. Our team is actively engaged in evaluating and integrating state-of-the-art tools within the LLM and agent ecosystem, including open-source frameworks, vector databases, and orchestration tools that enhance TRM’s innovative capabilities.As a Staff MLOps Engineer concentrating on LLMOps, you will play a pivotal role in constructing and scaling the technical infrastructure for our AI/ML systems. Your responsibilities will include:Developing reusable CI/CD workflows for model training, evaluation, and deployment, incorporating tools like Langfuse, GitHub Actions, and experiment tracking.Automating model versioning, approval workflows, and compliance checks across various environments.Building modular and scalable AI infrastructure stacks, including vector databases, feature stores, model registries, and observability tools.Collaborating with engineering and data science teams to integrate AI models and agents into real-time applications and workflows.Continuously assessing and adopting cutting-edge AI tools (e.g., LangChain, LlamaIndex, vLLM, MLflow, BentoML).Enhancing AI reliability and governance to enable experimentation while ensuring compliance, security, and operational uptime.Improving AI/ML model performance, ensuring data accuracy, consistency, and reliability for superior model training and inference.Deploying infrastructure to support both offline and online evaluations of LLMs.

Contribute to a Safer World.At TRM Labs, we leverage blockchain analytics and artificial intelligence to empower law enforcement, national security agencies, financial institutions, and cryptocurrency enterprises in the fight against crypto-related fraud and financial crime. Our advanced blockchain intelligence and AI platforms are designed to trace transactions, identify illicit activities, build investigative cases, and establish a comprehensive view of potential threats. Trusted by leading organizations worldwide, TRM is committed to fostering a safer, more secure environment for everyone.The AI Engineering Team is dedicated to driving the development of next-generation AI applications, specifically focusing on Large Language Models (LLMs) and agentic systems. Our mission is to create resilient pipelines, high-performance infrastructure, and operational tools that facilitate the swift, safe, and scalable deployment of AI systems.We manage extensive petabyte-scale data pipelines, deliver model outputs with millisecond-level latency, and ensure observability and governance to make AI production-ready. Our team actively evaluates and integrates state-of-the-art tools in the LLM and agent domain, such as open-source stacks, vector databases, evaluation frameworks, and orchestration tools, which enhance TRM's ability to innovate more rapidly than the competition.In the role of Senior MLOps Engineer specializing in LLMOps, you will play a pivotal role in constructing and scaling the technical infrastructure required for AI and ML systems. Responsibilities include:Develop reusable CI/CD workflows for model training, evaluation, and deployment, incorporating tools like Langfuse, GitHub Actions, and experiment tracking.Automate model versioning, approval processes, and compliance checks across various environments.Construct a modular and scalable AI infrastructure stack, integrating vector databases, feature stores, model registries, and observability tools.Collaborate with engineering and data science teams to integrate AI models and agents into real-time applications and workflows.Regularly assess and incorporate cutting-edge AI tools (e.g., LangChain, LlamaIndex, vLLM, MLflow, BentoML, etc.).Enhance AI reliability and governance, promoting experimentation while ensuring compliance, security, and system uptime.Optimize AI/ML model performance by ensuring data accuracy, consistency, and reliability to improve training and inference processes.Deploy infrastructure that supports both offline and online LLM evaluations.

This is a hybrid position based in our Bay Area (SF or Palo Alto) or Chicago offices, requiring in-office attendance on Tuesdays and Thursdays.Why Join Us?At Grindr, we believe AI has the potential to transform the dating landscape. As a Staff MLOps Engineer, you will be pivotal in developing and managing the infrastructure, tools, and scalable systems that empower impactful AI initiatives. You will architect and maintain the platforms facilitating data ingestion, feature computation, model training, automated evaluation, deployment, and continuous monitoring for our machine learning teams that craft recommendations, LLM-powered experiences, advertisements, visual searches, as well as growth, trust, and safety mechanisms. Your role will involve designing foundational systems that enable our ML engineers to innovate swiftly, deploy models reliably, and manage them confidently in production.What You Will Do:We are seeking an exceptional MLOps engineer passionate about enabling ML at scale, with experience handling over 6 million daily active users and hundreds of millions of daily interactions. You will thrive in building robust, automated pipelines, developing reliable production training and inference systems, and establishing the infrastructure and processes that enhance ML product development across our organization.In this role, you will define and implement the strategy for Grindr’s ML platform and oversee the end-to-end model lifecycle.Key Responsibilities:Construct and oversee end-to-end ML pipelines for data ingestion, feature computation, model training, validation, deployment, and inference, all while managing substantial data scales.Establish and oversee a feature store, ensuring feature consistency, lineage, and reuse across teams.Utilize top-tier tools for managing deployment, scheduling, and environments within the specialized realm of ML Infrastructure.Develop automated model deployment workflows that incorporate CI/CD, secure rollout strategies, and reproducibility guarantees.Implement monitoring and observability solutions for ML systems, covering data quality checks, drift detection, performance metrics, and alerting mechanisms.Support and build training environments featuring experiment tracking, distributed training, hyperparameter tuning, and artifact and environment management.Collaborate with ML engineers and data engineers to streamline workflows, enhance model iteration speed, and enforce MLOps best practices.

About daydreamAt daydream, we are revolutionizing the SEO landscape by developing the world's most advanced SEO agent, complemented by a team of top 1% human experts. Our goal is to manage organic search intricately, freeing our clients from the burdens of hiring specialized teams, evaluating multiple tools, or managing external agencies.In today's competitive environment, excelling in search demands the production of expert-level content at scale, alongside constant adaptation to shifts in ranking systems and user behavior. Traditional tools merely provide metrics without actionable insights, while agencies rely on cumbersome manual workflows that fail to generate compounding growth. Even well-resourced teams often find it challenging to translate sustained efforts into consistent results.daydream simplifies this landscape by consolidating fragmented tools and external vendors into a single coherent system that continuously plans and executes SEO strategies. Our SEO agent takes charge of analysis, planning, and content generation, while seasoned Growth Leads translate this work into actionable outputs—shipped pages, technical adjustments, and updated priorities—holding accountability for performance over time.We have successfully raised over $20M from notable investors including First Round Capital, Basis Set Ventures, WndrCo, and SOMA Capital, and our growth is supported by industry leaders from Notion, Airtable, Webflow, and Dropbox, such as Lenny Rachitsky and Eli Schwartz, author of Product-Led SEO.The TeamYou will collaborate closely with a dedicated, senior team across engineering, design, and growth:Shravan (CTO), who previously served as an Engineering Lead at Flixed and a Software Engineer at Facebook, focusing on large-scale web scraping for Facebook Jobs and Meta Reality Labs.Vishruth (Founding Applied AI Engineer), a former Data Scientist at Klaviyo specializing in NLP, with a robust research background from Cornell.Daniel (Founding Applied AI Engineer), who previously worked as a Data Engineer on Tesla’s Autopilot team, specializing in large-scale data systems and applied machine learning, and was formerly the Lead Data Engineer at Replit.Tom (Founding Designer), who led product design at Blockless and plays a significant role in UI engineering.You will also interact directly with Growth Leads, senior SEO practitioners who manage the system daily and provide invaluable feedback on AI performance in real-world applications.Your ImpactIn your role as a Staff Engineer at daydream, you will provide vital technical leadership across the product while remaining deeply engaged in hands-on execution. You will closely collaborate with the CTO to define system architecture, guide project execution, and elevate quality standards throughout the engineering organization.

At Tanagram, we are on a mission to revolutionize agentic coding by transforming the way engineering lessons are harvested from codebases, code reviews, incident post-mortems, and Slack communications. Our innovative approach provides real-time guardrails that identify and rectify risky coding patterns, empowering teams to accelerate their shipping process while minimizing potential pitfalls.We are assembling a small, diverse group of outstanding engineers who are passionate about the future of agentic coding. Our ideal candidates are detail-oriented, possess a high level of agency, and are adept at identifying critical problems to solve, building exceptional products, and continuously iterating towards superior solutions.In this role, you will engage with our entire technology stack, from our Typescript + React frontend to our Python/Go backend and LLM infrastructure. You should possess a keen intuition for selecting the right tools and configuring them to achieve optimal user results.You are proactive and prefer to take immediate action rather than postponing tasks. You communicate your intentions clearly and follow through promptly.We operate in a hybrid work environment, primarily based in San Francisco (Mission Bay) and NYC, but we welcome strong remote candidates. For more insight into our work culture, refer to our guidelines.

About MetaDAOMetaDAO is at the forefront of revolutionizing decision-making through innovative decision markets, empowering individuals and organizations to shape the most critical choices in the world.Our flagship offering is a cutting-edge fundraising platform that leverages decision markets to minimize the risks of fraud and misallocation for investors. Since its monetization in October 2025, the platform has achieved a remarkable run rate revenue of approximately $9 million annually.With $12 million raised from leading investors, we are dedicated to assembling a world-class team. If you share our belief in the transformative power of markets, we invite you to join us in this exciting journey.

Hayden AI builds mobile perception systems that help transit agencies and city governments address real-world challenges. The team focuses on computer vision to improve bus lane and bus stop enforcement, modernize transportation technology, and support safer, more sustainable streets. The MLOps Engineer will join the Perception Deep Learning team in San Francisco, working in a hybrid model (at least three days per week in the office). This role centers on building and advancing Hayden AI’s machine learning platform, collaborating with perception, deep learning, and platform engineers to create infrastructure for training and deploying ML models. The position involves shaping the architecture for data ingestion, training pipelines, deployment, monitoring, and governance. What you will do Design, implement, and maintain cloud-based workflows for deploying and managing AI models. Work with cross-functional teams to identify workflow bottlenecks and deliver solutions that improve efficiency. Deploy new features and updates quickly while maintaining quality and reliability, and apply cost-saving strategies to optimize infrastructure spending. Stay up to date with new MLOps tools and technologies, integrating them to improve ML workflows. Participate in the team’s software development process, including design and code reviews, brainstorming, and maintaining accurate documentation. Requirements Bachelor’s degree and 3-4 years of experience in a related field.

Join our dynamic team at rillet as a Staff Software Engineer. We are looking for a talented engineer who is passionate about building innovative solutions and driving impactful projects. In this role, you will collaborate with cross-functional teams to design, develop, and maintain high-quality software applications that meet the needs of our customers.If you have a strong foundation in software engineering principles and a desire to work in a fast-paced environment, we want to hear from you!

About SpotOnAt SpotOn, we are revolutionizing the restaurant industry by providing independent restaurants with cutting-edge technology to thrive in a competitive market. From our award-winning point-of-sale systems to advanced AI-driven profit enhancement tools, every solution we offer empowers operators to increase profitability, optimize operations, and retain top talent. Our commitment to our clients is backed by a dedicated team that genuinely cares about their success.Ranked #1 Restaurant POS by G2 (Fall 2025), based on user feedbackRecognized as the top-rated point-of-sale (POS) for restaurants, bars, retail, and small businesses by Capterra usersHonored as a Great Place to Work and recipient of Built In’s Best Workplaces awards for consecutive yearsWe prioritize agility, empathy, and advocacy for independent restaurant operators, allowing them to focus on their passion. If you aspire to make a meaningful impact with dedication and drive, SpotOn is your ideal workplace.About the Accelerate TeamThe Accelerate team, consisting of five skilled engineers, is dedicated to redefining software development within the fintech realm through AI-native engineering practices. With direct support from senior leadership and defined project goals, we are committed to setting new industry standards in software building.We are seeking a Staff/Principal Individual Contributor (IC) with proven experience in AI-assisted engineering at scale. This is not a role for the AI-curious; you are someone who integrates AI into coding daily. You have developed agents that deliver tangible results. Your insights on model selection, agent limitations, and effective guardrails are backed by real-world experience. You are eager to apply what you’ve learned on a larger scale.As the most senior technical AI expert on the team, you will be the go-to person for architectural guidance, tackling complex challenges, and establishing technical benchmarks.The Role: Technical Lead, Not ManagerThis position is not about merely setting up CI/CD pipelines or integrating Copilot. You are the architect behind the systems that transform how SpotOn engineers develop software. You will:Establish yourself as the technical authority in AI engineering. You will define the standards for AI utilization in code generation, review, testing, and task automation. Your focus will be on designing systems, workflows, and guardrails that ensure AI-aided development is safe, measurable, and scalable in a PCI-compliant environment.

About AbridgeFounded in 2018, Abridge is dedicated to enhancing healthcare understanding through innovative AI solutions. Our platform is tailored for medical conversations, streamlining clinical documentation and allowing healthcare professionals to prioritize patient care.We offer cutting-edge technology that converts patient-clinician dialogues into structured clinical notes in real-time, seamlessly integrating with EMR systems. With our auditable AI and the unique capability to map AI-generated summaries to verified data, we build trust among healthcare providers. As trailblazers in generative AI for healthcare, we are establishing industry best practices for responsible AI deployment across health systems.Our dynamic team comprises practicing MDs, AI specialists, PhDs, creative thinkers, technologists, and engineers, all focused on empowering individuals and making healthcare more comprehensible. Our offices are located in San Francisco's Mission District, New York's SoHo, and Pittsburgh's East Liberty.The RoleIn the position of Staff IT Automation Engineer, you will take on a pivotal technical leadership role, responsible for enhancing efficiency and scalability throughout our corporate IT infrastructure and enterprise ecosystem. You will architect, develop, and maintain essential automation solutions that remove manual processes, enhance security, and elevate the global employee experience. This role demands extensive engineering expertise, a product-oriented mindset for automation, and the ability to mentor junior engineers while addressing complex integration and scaling challenges. You will collaborate closely with IT leadership, Security leadership, and departmental heads across the organization.What You'll DoSaaS Ecosystem Automation: Spearhead the design and implementation of automated workflows for provisioning, de-provisioning, and user management across key SaaS applications, including Google Workspace, Slack, GitHub, Notion, Rippling, and other core business tools.Workflow Automation: Create scalable, resilient workflow automation solutions to optimize essential business processes such as onboarding, offboarding, access requests, compliance enforcement, and self-service IT support.Asset Management Automation: Develop and implement solutions for the automated lifecycle management of various endpoints and assets, including corporate laptops, among others.

Join Giga's Innovative TeamAt Giga, we're on the cutting edge of technology, having successfully raised $61 million in Series A funding. Our pioneering real-time AI agents are designed to understand emotions, resolve customer issues instantaneously, and scale across some of the largest enterprises globally. We are proud to serve notable clients, including DoorDash.As we stand at a crucial turning point in our journey, we invite talented engineers to join us in achieving our vision of becoming the leading AI platform for enterprise automation, powered by our voice superintelligence.The work we do impacts millions daily, providing our engineers with the autonomy to shape their projects and make a tangible difference. With visionary founders, a successful business model, and a clear roadmap for future growth, this is an extraordinary opportunity to join a generational company.Learn more about us through these articles:Voice AI startup Giga raises $61M Series ADoorDash and Giga PartnershipYour Role as a Staff Backend EngineerWe are seeking a Staff Backend Engineer to be a key player in defining the technical strategy of our backend systems. You will be responsible for leading complex projects, making pivotal architectural decisions, and elevating engineering standards across our team.This position is tailored for those who want to be builders at heart. You will write code, take ownership of systems, and deliver results while also looking ahead to determine future development directions for our team.Key ResponsibilitiesYou will spearhead technical initiatives across the organization, including:System architecture: Innovating our agent infrastructure to seamlessly scale while balancing speed, reliability, and complexity.Challenging technical problems: Leading high-stakes projects where the consequences of failure could significantly impact our business.Technical strategy: Proactively identifying system gaps and proposing solutions to enhance our platform.

Role Overview Airwallex is hiring a Staff AI Engineer in San Francisco. This role focuses on building and improving AI-driven solutions for financial operations. Airwallex’s platform supports more than 200,000 businesses worldwide, among them names like Brex and Qantas, by automating and simplifying financial workflows. About Airwallex Founded on a global vision, Airwallex operates from 26 offices and employs over 2,000 people. The company is valued at $8 billion and has the backing of investors such as Visa and Sequoia. Airwallex’s team is known for its diversity and energy, working together to advance the future of payments and finance.

Welcome to Adyen At Adyen, our mission is clear: to become the world's leading customer-centric financial technology platform. We empower businesses like Meta, Uber, H&M, and Microsoft with seamless payment, data, and financial solutions, positioning us as the go-to platform in the fintech landscape. We are committed to creating a supportive environment where our employees can thrive, with the culture and resources necessary to take charge of their careers. Our driven team tackles complex technical challenges collaboratively, delivering innovative and ethical solutions that accelerate our clients' growth. Staff Engineer - Lending Join our Financial Products team at Adyen, where we are pioneering groundbreaking financial solutions that transcend traditional payment methods to meet the evolving needs of our customers. We are on the lookout for a talented Staff Engineer to help us develop the core system that supports Adyen’s credit and lending features, including our Capital offering, which provides a seamless capital access experience for merchants and sub merchants with automatic repayment options. In this role, you will lead cross-functional projects that will build the essential infrastructure for all of Adyen’s lending and credit products. Your work will span the entire lending product lifecycle—from initial underwriting and credit scoring to loan servicing, arrears management, and portfolio performance optimization.

Join fuku as a Senior/Staff Engineer, where you will play a pivotal role in shaping the future of global payments infrastructure. This position is based in either San Francisco, CA, or New York, NY. At fuku, we are committed to revolutionizing the way payments are processed, currently facilitating $1.5 billion annually to over one million payees. Our focus is on developing high-scale, reliable backend systems that ensure seamless transactions for gig workers and businesses alike.Our company culture promotes:- Autonomy and ownership in your work- Fast-paced, iterative product development- Collaboration with a team of highly skilled engineers- Designing systems capable of handling extensive financial data reliablyAs a Senior/Staff Engineer, you will be responsible for designing, building, and scaling production-ready backend systems capable of processing large volumes of data. You will work across the entire stack, partner with product and engineering leadership, and make significant technical decisions.This role is ideal for engineers who:- Excel in high-impact, ambiguous environments- Enjoy constructing end-to-end systems with tangible results- Are passionate about developing scalable FinTech infrastructure- Thrive in an environment that encourages rapid iterations and robust system development.Your tech stack will include:- Frontend: React- Backend: Python- Infrastructure: AWS, ECS- Tools: GitHub, Linear, Slack, NotionResponsibilities:- Design and implement scalable backend systems for high-throughput payments- Launch and refine applications and large-scale software projects- Collaborate with product and engineering teams to drive impactful results- Work with substantial datasets and distributed systems- Optionally engage in recruiting activities, including sourcing and interviewing engineering talent.

About DEUNA DEUNA is an innovative startup transforming the landscape of global commerce with our groundbreaking AI-driven orchestration and payments platform, ATHIA. Our solution empowers large enterprises to enhance approval rates, minimize costs, and discover new revenue streams. Developed by a team recognized as the fastest-growing Commerce OS in Latin America, ATHIA integrates payment intelligence, checkout optimization, and data orchestration into a unified solution.With robust integrations across over 300 payment service providers and alternative payment methods, and with more than 20% of Mexico’s digital economy processed through our platform, we simplify global payment processes via a single integration and centralized reconciliation.As we expand into the U.S. market to fulfill the pressing requirements of large retailers, marketplaces, airlines, and quick-service restaurants (QSRs), we invite you to join us in shaping the future of payments! Role OverviewWe are on the lookout for a Backend Staff Engineer who will serve as a technical expert and architectural leader for our backend systems. This position focuses on tackling complex engineering challenges, scaling distributed systems, and establishing backend engineering standards across the organization.This is not a management role; instead, you will act as a technical authority, collaborating with Engineering Managers while taking charge of technical depth and backend architecture decisions. You will thrive in a dynamic startup environment where backend systems are critical to product capabilities.Key ResponsibilitiesBackend Architecture & System Design- Create and enhance scalable, secure, and resilient backend systems.- Architect high-availability APIs and distributed services.- Establish best practices for reliability, observability, and performance.Deep Technical Contribution- Write high-quality, production-ready backend code.- Lead refactoring initiatives and performance enhancements.- Identify system bottlenecks and implement scalable solutions.- Design data models, caching strategies, and asynchronous workflows.Technical Influence- Provide technical guidance across teams.- Facilitate complex design discussions and evaluate trade-offs.- Enhance backend development standards and documentation practices.Scalability & Reliability- Design systems capable of managing high-traffic and transaction-intensive workloads.- Define strategies for load balancing, scaling, monitoring, and failure management.- Optimize system instrumentation and monitoring practices.

About UsScribe is a dynamic company where outstanding talent thrives. With over 94% of the Fortune 500 relying on our platform, we empower teams to accomplish their tasks efficiently while continuously improving their workflows. Our innovative Workflow AI technology streamlines and enhances processes, enabling teams to work smarter and more consistently.Since our inception in 2019, we've experienced rapid growth, amassing over 5 million users across 600,000 businesses. Based in the heart of San Francisco, we have been recognized as a LinkedIn Top Startup and are valued at over $1 billion, supported by premier investors. Join us in transforming the way people approach their work.Our Work CultureWe are passionate builders dedicated to honing our skills. Our team values collaboration and shared success, embracing principles such as:Accelerating impactRaising the barEmpowering our usersClear communication is kindFostering rapid learningOne team, one visionAbout This RoleWe are seeking a talented and seasoned backend engineer to become a Staff Engineer on our Core Engineering team. This pivotal group is responsible for the most critical user experiences at Scribe, encompassing functionalities like viewing and editing Scribes, managing Pages, Embeds, Exports, and supporting essential Integrations. Your contributions will directly enhance how users create, share, and leverage documentation, significantly improving their effectiveness.If you are driven by a passion for addressing real user challenges and approaching problems with both practicality and elegance, this is your chance to work closely with designers, user advocates, and engineers across the technology stack to shape the future of Scribe. As a Staff Engineer, you will play a vital role in system design, elevate our engineering culture, and mentor fellow engineers.Your Responsibilities Will IncludeLeading the development of new features within our Django monolith, focusing on core experiences such as viewing and editing Scribes, Pages, Embeds, Exports, and related Integrations.Enhancing database queries, endpoints, and caching layers to boost performance and scalability in critical user workflows.Collaborating across teams to ensure seamless integration and user experience.

About ArtisanAt Artisan, we're pioneering the development of AI employees – not mere chatbots or copilots, but fully autonomous digital workers capable of performing real jobs.Our flagship product, Ava, is an AI Business Development Representative (BDR) already utilized by hundreds of companies. Ava autonomously researches leads, crafts and sends emails in a customer's voice, executes complex outbound sequences, manages her own deliverability infrastructure, optimizes her performance over time, and effectively handles objections and meeting scheduling. Rather than being just a tool, Ava acts as a vital teammate.As a Y Combinator W24 company, we've successfully raised over $35 million from esteemed investors and have reached over $8 million in Annual Recurring Revenue (ARR). Currently, we are ambitiously developing Ava 2.0, which represents a significant leap in the capabilities of AI employees. The engineering challenges we face are complex and the scope of our work is vast.Your RoleAs a Staff DevOps Engineer at Artisan, you'll be responsible for our platform that manages hundreds of millions of leads, orchestrates autonomous AI agents in real-time, and facilitates massive-scale email distribution across thousands of customer mailboxes. You will play a key role in delivering a product suite that effectively replaces an entire sales stack, including CRM, inbox, dialer, lead database, and campaign engine. The infrastructure that underpins this functionality is critical to our success.In this staff-level position, you will take ownership of the entire DevOps and infrastructure layer at Artisan, setting the groundwork, defining best practices, and developing the systems that all other functions rely on.Your key responsibilities will include:Kubernetes and Container Orchestration: You will manage our AWS-based Kubernetes infrastructure, overseeing cluster management, scaling policies, resource optimization, and the compute layer that supports AI workloads, data pipelines, and customer-facing product infrastructure.CI/CD and Deployment Pipelines: We implement continuous shipping practices. You will design and maintain the deployment infrastructure that allows engineers to deploy with confidence multiple times a day, including automated testing, staging environments, rollback strategies, and feature flags.Observability and Reliability: You will build a comprehensive observability layer from the ground up, ensuring effective monitoring, alerting, logging, and tracing. Quick detection and understanding of failures, such as an AI agent failing to send an email or a stalled pipeline, will be a priority.Email Deliverability Infrastructure: Ava’s ability to send emails at scale across thousands of domains and mailboxes relies on intricate sender reputation management, domain warming, DNS configuration, and IP management.Security and Compliance: Managing customer data and email credentials requires strict adherence to security standards and compliance regulations.

At Crusoe, we are on a mission to drive the proliferation of energy and intelligence in the digital age. We are developing an innovative platform that enables individuals to harness the power of AI for ambitious projects, all while ensuring unparalleled scale, speed, and sustainability.Join us at the forefront of the AI revolution, where sustainable technology meets transformative cloud infrastructure. At Crusoe, you will be part of a team that is committed to meaningful innovation and making a significant impact.About the Role:We are looking for a Senior to Senior Staff level Solutions Engineer to collaborate closely with our key enterprise clients as they deploy AI and machine learning workloads on Crusoe's cutting-edge GPU infrastructure. This role is hands-on and customer-centric, requiring extensive technical knowledge in Kubernetes, MLOps, and cloud infrastructure.You will lead clients through the entire deployment journey, overseeing the proof of concept (PoC) process, optimizing workloads after the sale, and serving as an essential technical liaison between our clients and engineering teams. Successful candidates will possess a strong passion for AI infrastructure, be proficient in containerized environments, and have the ability to effectively translate workloads across various cloud platforms.What You'll Be Working On:Customer Enablement: Spearhead the technical onboarding and deployment of sophisticated AI/ML workloads with strategic enterprise customers—taking ownership of the PoC through to post-sales optimization.Kubernetes + MLOps Focus: Design and implement ML workloads utilizing Kubernetes-based technologies (e.g., Ray, Kubeflow) while ensuring optimal performance, scalability, and efficiency.Infrastructure-Centric Thinking: Engage directly with Crusoe infrastructure to deploy and fine-tune AI/ML workloads, guaranteeing performance at both the container and hardware levels.Cross-Cloud Translation: Assist clients in migrating and adapting workloads across AWS, Azure, and GCP, while clearly articulating the trade-offs between cloud-native and Crusoe-native strategies.Technical Storytelling: Facilitate workshops, live demonstrations, and solution reviews. Contribute to case studies, solution briefs, and blog articles that showcase real-world customer success stories.Voice of the Customer: Provide feedback to internal engineering and product teams to continuously enhance Crusoe’s platform based on practical implementation experiences.What You'll Bring to the Team:Deep Kubernetes Expertise: 7+ years of experience in building and deploying containerized applications.

Join Us at ApiphanyAt Apiphany, we are at the forefront of foundational AI technology, driving innovation in physical product development. Our mission is to support global leaders in automotive, aerospace, medtech, and energy sectors by transforming complex, unstructured technical data into actionable insights in real-time. With investment from notable firms like Markforged, Databricks, GM, and Character, we aim to redefine engineering decision-making, simplifying complexity for top-tier manufacturers worldwide.Our cutting-edge models are designed to tackle the intricacies of engineering and manufacturing, incorporating a deep understanding of physics, design specifications, and program constraints. We are a compact yet highly skilled team composed of builders from prestigious institutions including Stanford, Berkeley, MIT, UW, and CMU, alongside industry veterans from GM, Ford, and Genesis Therapeutics. Together, we share a passion for revolutionizing hard-tech and establishing a company that sets the standard in our field.Your RoleIn the role of Senior / Staff Backend Engineer at Apiphany, you will take charge of designing, building, and scaling the essential systems that drive our intelligence platform. You will be responsible for developing low-latency backend services and APIs capable of processing extensive engineering data streams, maintaining security and compliance, and architecting systems for optimal performance and availability. Additionally, you will influence long-term architectural decisions, guide your colleagues through mentorship, and establish best practices for scaling backend services to deliver robust and high-performance applications.

Ironclad stands at the forefront of the AI contracting revolution, seamlessly converting agreements into valuable assets. Our platform accelerates contract workflows, delivers instant insights, and empowers teams to drive their work forward—all while keeping you in control. Whether you're engaged in buying or selling, Ironclad streamlines the entire process on a singular, intelligent platform, giving leaders the visibility they need to stay ahead. Esteemed organizations such as OpenAI, the World Health Organization, and the Associated Press rely on Ironclad to expedite their operations.Our commitment to excellence has not gone unnoticed; we are regularly lauded as an industry leader, recognized as a Leader in the Forrester Wave and the Gartner Magic Quadrant for Contract Lifecycle Management. Additionally, we have been honored as a Fortune Great Place to Work and listed among Fast Company’s Most Innovative Workplaces. Ironclad has also earned a spot on Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We are supported by top-tier investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For further details, visit www.ironcladapp.com or connect with us on LinkedIn.This position is hybrid, requiring in-office attendance at least twice a week on Tuesdays and Thursdays for collaboration and engagement, with potential additional days for team or company events.Engineering at IroncladIn the capacity of Staff Software Engineer, you will collaborate with cross-functional teams in engineering, product, design, and go-to-market efforts to identify impactful challenges and craft, develop, and deploy innovative solutions. You will be instrumental in shaping a platform that enables legal teams and business partners to excel at scale. As we usher a time-honored profession into the digital era, your contributions will define the future of contracting.We invite seasoned engineers from diverse backgrounds who possess robust coding skills and a proven history of delivering thoughtful, reliable products. Join our collaborative, ego-free team that values mutual learning, diverse perspectives, and an inclusive, supportive work environment. If our mission resonates with you and you are eager to help create a product that legal and business teams cherish, we would love to connect!