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Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture. What You’ll Be Doing Lead the overall architecture design and core capability development of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration. Drive the implementation of AI Native capabilities in engineering workflows , including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment. Build the knowledge augmentation layer for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities. Establish the runtime and governance framework for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance. Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 6+ years of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities. Proficient in Java / Python , with solid coding skills, architectural thinking, and experience building complex systems. Strong understanding of LLM and AI Agent architectures , including task decomposition, tool use, context management, memory, execution loops, and exception handling. Hands-on experience with LangChain and LangGraph , and strong familiarity with mainstream AI coding tools or frameworks such as Claude Code , Codex, Cursor , and Copilot . Experience in designing or developing RAG / GraphRAG / knowledge graph solutions for enterprise knowledge augmentation and engineering use cases. Good understanding of DevOps , CI/CD , Kubernetes , and cloud-native technologies , with strong cross-functional collaboration and execution skills. Nice to Haves Experience contributing to open-source projects related to AI Agents, AI Coding, RAG, or knowledge graphs. Experience building enterprise engineering platforms, DevOps platforms, or AI platforms . Familiarity with open-source Agent projects such as openclaw, openhands/openharness, or Hermes . Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking a meticulous and experienced Hospitality Auditor specializing in Hotels, with expertise in both Hotel Operations and IT. As a key member of our team, you will be responsible for evaluating and ensuring the effectiveness of operational processes and IT systems within the hospitality sector, particularly in hotels. Your assessments will help enhance compliance, operational efficiency, and risk management, supporting the delivery of superior guest experiences. Key Responsibilities: Conduct comprehensive audits of hotel operations, including front desk, housekeeping, food and beverage, and other service areas to ensure adherence to company policies and industry standards. Perform IT audits focused on hotel management systems, POS systems, network security, data integrity, and compliance with IT protocols. Identify operational inefficiencies, control weaknesses, and potential risks, providing actionable recommendations for improvement. Collaborate with hotel management and IT teams to implement audit recommendations and enhance process compliance. Prepare detailed audit reports and presentations for senior management outlining findings and corrective actions. Stay updated on industry best practices, regulatory requirements, and emerging technologies relevant to hotel operations and IT systems. Hotel operations and financial controls Supporting functions (HR, engineering, maintenance, H&S) IT systems supporting hotel operations Operational efficiency and compliance Requirements Bachelor's degree in Hospitality Management, Information Technology, or a related field. Minimum 5 years of experience in hospitality auditing, hotel operations, or IT auditing within the hotel industry. Strong knowledge of hotel operational processes and IT systems used in hospitality. Proficiency in audit methodologies, risk assessment, and compliance standards. Excellent analytical, organizational, and report-writing skills. Ability to communicate findings clearly to diverse stakeholders. Detail-oriented with a commitment to maintaining high standards. Relevant certifications such as Certified Internal Auditor (CIA), Certified Hospitality Auditor, or IT audit certifications are a plus. Bilingual professional (Arabic and English) with experience in the Hajj and Umrah sector. Extensive experience in capital project audits and IT application reviews. Strong background in the hospitality industry Familiar with regulatory requirements of the Ministry of Tourism and the Capital Market Authority (CMA). Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Argentina; Colombia; Mexico; Honduras; Brazil We are hiring a high-caliber Executive Assistant to work directly with a Principal in a fast-growing real estate investment and development company . This is not a traditional administrative role . It is designed as a stepping stone into an Operations Associate / Operations Manager path , with direct exposure to acquisitions, capital raising, construction, leasing, and asset management. You will play a key role in building structure, improving execution, and helping scale the business. Key Responsibilities Principal Productivity & Execution Run weekly time reviews and generate actionable summaries Track performance against an “ideal day” structure and identify gaps Review dashboards (Asana, time tracking) to surface priorities Send daily priority updates (tasks, decisions, follow-ups) Apply clear frameworks for prioritization, delegation, and scheduling Inbox, Calendar & Follow-Ups Manage calendar, meetings, and confirmations Maintain daily inbox organization (prioritize, delegate, clean) Track follow-ups and ensure nothing falls through the cracks Maintain and act on “waiting on others” lists Operations & Business Support Keep Google Drive and internal documentation structured and updated Maintain CRM hygiene (HubSpot) and investor follow-ups Support reporting, KPI tracking, and dashboard updates Assist with vendor coordination and project tracking Support property management workflows and leasing coordination Systems & Process Optimization Build and refine SOPs across operations (leasing, investor communication, onboarding, etc.) Maintain clear and usable documentation (Google Docs, Loom, checklists) Improve cross-team workflows (acquisitions → rehab → lease-up) Identify and implement simple system improvements and integrations Personal Support (Light) Track and review personal budget and expenses Support scheduling of personal and family activities Requirements 5–7 years of experience in EA, Operations, Chief of Staff, or similar roles Experience in real estate, PropTech, FinTech, or adjacent industries is highly preferred Proven experience building or improving systems and SOPs Strong ownership mindset with the ability to drive execution independently Excellent organization and attention to detail Strong written communication and documentation skills Proficiency with Google Workspace, Asana (or similar), and CRMs (HubSpot preferred) Comfortable blending business and personal executive support Availability during Pacific / Mountain Time working hours Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Warsaw, Poland; Kraków, Poland; Wrocław, Poland; Budapest, Hungary Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Prague, Czechia; Brno, Czechia; Amsterdam, Netherlands; Eindhoven, Netherlands; Utrecht, Netherlands Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Lisbon, Portugal; Porto, Portugal; London, United Kingdom; Cambridge, United Kingdom; Manchester, United Kingdom Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Brussels, Belgium; Antwerp, Belgium; Munich, Germany; Berlin, Germany Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Barcelona, Spain; Madrid, Spain; Málaga, Spain; Milan, Italy; Rome, Italy Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You’ll Do We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is ready to help transform the industry through technology . They think in systems, challenge the status quo, and are excited to translate years of operational expertise into intelligent product features, automation logic, and scalable workflows . This person brings deep health insurance domain knowledge and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world. 1. Domain Expertise & Product Collaboration Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight. Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation. Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios. Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic. 2. STP, Automation & Workflow Design Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design. Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations. Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system. 3. Compliance & Risk Embedded in Product Translate regulatory and policy requirements into system logic and product features. Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance. 4. Cross-Functional Collaboration & Enablement Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution. Contribute to product roadmap discussions and prioritisation from a health insurance perspective. Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction. Support GTM, sales, and pre-sales efforts with deep functional expertise when needed. What We Need 12+ years of experience in the insurance industry , with strong exposure to end-to-end insurance operations. At least 5 years of hands-on experience in health insurance with deep understanding of the full health insurance lifecycle, with domain expertise inside and out. Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals. Experience working cross-functionally with product, technology, and business teams in a fast-paced environment. Hands-on, results-oriented, and passionate about translating domain knowledge into real product features. Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic. Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations. Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike. Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience. Nice-to-have (other advantages) Experience with other lines of business such as life and/or P&C insurance. Chartered Insurance Institute (CII) Certificate in Insurance or equivalent. Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus. Exposure to multiple markets or global health insurance products. Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Pakistan; India; Brazil; Mexico; United Kingdom About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re hiring a Founding Engineer (Fullstack) to help take the product from zero to launch and beyond to product-market fit. This is a rare opportunity to work side-by-side with the founding team and play a defining role in shaping both the product and the company. You’ll be responsible for building core systems, crafting exceptional user experiences, and driving technical decisions across the stack. This role is ideal for a highly intelligent, pragmatic builder who thrives in early-stage environments and has a track record of shipping complex, user-facing applications. Key Responsibilities Own end-to-end development of core product features across the fullstack, with a strong focus on frontend UX and performance. Collaborate closely with the founder, product designer, and early users to iterate rapidly and deliver exceptional user experiences. Design, build, and maintain scalable backend systems, including PostgreSQL schemas and Row-Level Security (RLS) via Supabase. Develop and manage edge APIs, backend services, and workers to support real-time, high-performance applications. Translate complex product concepts into intuitive, elegant, and user-friendly interfaces. Make foundational architecture and infrastructure decisions that balance speed, scalability, and reliability. Build and optimize systems to support product growth from early launch through scale. Integrate and interact with smart contracts and blockchain infrastructure. Own and maintain blockchain indexing systems to power real-time product functionality. Develop modern authentication and digital asset experiences using technologies like WebAuthn. Partner with fintech and infrastructure providers to deliver secure and scalable solutions. Contribute to product strategy, experimentation, and iteration to help achieve product-market fit. Establish and uphold strong engineering practices, performance standards, and a security-first mindset. Requirements Exceptional intellectual ability and curiosity, with a strong academic background (e.g. Computer Science, Mathematics, Physics, Electrical Engineering) or equivalent experience. 5+ years of software engineering experience, including at least 1 year at a senior level with high ownership. Strong proficiency in TypeScript and React for building production-grade frontend applications. Backend and systems experience; familiarity with Go or low-level/system design is a strong plus. Extensive experience with PostgreSQL and scalable data architecture. Proven track record of building and shipping complex user-facing products (e.g. social platforms, marketplaces, trading systems). Strong interest in finance, blockchain/Web3, consumer apps, user psychology, and AI/LLMs. A strong security-first mindset, with attention to data integrity and system resilience. Ability to move fast, make pragmatic decisions, and thrive in ambiguity. Strong communication skills and a collaborative, founder-level mindset. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: San Francisco; Palo Alto Workplace: Hybrid Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search systems, datasets, and models work together to create the best possible experience for our users. As our product and agent capabilities evolve, we need evaluation systems that are fast, reliable, production-faithful, and actionable. In this role, you will build and improve the technical foundations that support Answer Quality across Perplexity. This includes our shared evaluation infrastructure and the platform used to replay and analyze agent traces. You will work closely with data scientists, engineers, and product teams to identify quality problems, measure their impact, and turn evaluation findings into product improvements. RESPONSIBILITIES - Build shared evaluation infrastructure that helps teams run reliable evals, analyze results, and make product and model decisions - Develop the platform for replaying and analyzing agent traces to reproduce production behavior and diagnose failures - Build and operate scalable systems for processing, storing, and monitoring interaction, trace, and evaluation data - Partner with data scientists, engineers, and product teams to turn answer-quality problems into evaluations, analyses, and product improvements - Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality QUALIFICATIONS - 4+ years of software, data, or machine learning engineering experience shipping and operating production systems - Strong proficiency in Python and SQL, with solid fundamentals in system design, data modeling, and distributed systems - Experience building big-data systems, including distributed compute, large-scale storage, and high-volume pipelines - Demonstrated ownership of ambiguous technical projects from initial design through production operation - Ability to work effectively with data scientists, engineers, and product partners PREFERRED QUALIFICATIONS - Experience building evaluation, experimentation, observability, or machine learning infrastructure - Familiarity with LLM and agent systems, including tool use, execution traces, replay, and simulation - Experience building on top of large-scale data processing platforms such as Databricks, Snowflake, or ClickHouse

Location: San Francisco; Palo Alto Workplace: Hybrid Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search systems, datasets, and models work together to create the best possible experience for our users. As our product and agent capabilities evolve, we need evaluation systems that are fast, reliable, production-faithful, and actionable. In this role, you will build and improve the technical foundations that support Answer Quality across Perplexity. This includes our shared evaluation infrastructure and the platform used to replay and analyze agent traces. You will work closely with data scientists, engineers, and product teams to identify quality problems, measure their impact, and turn evaluation findings into product improvements. RESPONSIBILITIES - Build shared evaluation infrastructure that helps teams run reliable evals, analyze results, and make product and model decisions - Develop the platform for replaying and analyzing agent traces to reproduce production behavior and diagnose failures - Build and operate scalable systems for processing, storing, and monitoring interaction, trace, and evaluation data - Partner with data scientists, engineers, and product teams to turn answer-quality problems into evaluations, analyses, and product improvements - Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality QUALIFICATIONS - 4+ years of software, data, or machine learning engineering experience shipping and operating production systems - Strong proficiency in Python and SQL, with solid fundamentals in system design, data modeling, and distributed systems - Experience building big-data systems, including distributed compute, large-scale storage, and high-volume pipelines - Demonstrated ownership of ambiguous technical projects from initial design through production operation - Ability to work effectively with data scientists, engineers, and product partners PREFERRED QUALIFICATIONS - Experience building evaluation, experimentation, observability, or machine learning infrastructure - Familiarity with LLM and agent systems, including tool use, execution traces, replay, and simulation - Experience building on top of large-scale data processing platforms such as Databricks, Snowflake, or ClickHouse

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: India Position: Talent Acquisition Specialist (India - Remote) Job Summary: We are seeking a dynamic and results-driven Talent Acquisition Specialist to join our team, focusing on hiring candidates within India. This role is pivotal in sourcing, attracting, and interviewing candidates to find the ideal fit for our vacancies. The ideal candidate will be responsible for selecting and advancing qualified candidates to the subsequent stages of their application, including the evaluation of assessment examination results. Key Responsibilities • Strategic Sourcing and Screening: Conduct daily in-depth assessments and screenings of all applicants, ensuring a high-quality candidate pipeline for positions within India. • Interviewing Excellence: Implement and apply various interviewing techniques and methods to thoroughly evaluate candidates during in-depth interviews. • Initial Candidate Engagement: Perform initial screening interviews, identifying potential fits for further evaluation. • Collaborative Hiring: Work closely with Hiring Managers to recommend candidates, partnering with relevant stakeholders to offer competitive compensation packages and negotiate with candidates effectively. • Record Keeping and Compliance: Maintain accurate and concise records and reports on all recruitment phases, utilizing Applicant Tracking System (ATS) and HRIS tools, ensuring compliance with local Indian regulations and hiring practices. • Performance Metrics: Achieve target Ops Validation endorsements, maintaining high standards and expectations throughout the screening process. • Process Calibration: Regularly calibrate screening and selection processes with Hiring Managers to align with specific account requirements and organizational goals. • End-to-End Recruitment: Manage the entire recruitment lifecycle, from sourcing and interviewing to assessment administration and final decision-making. Desired Skills and Qualifications: • Proven experience in Talent Acquisition, with a strong understanding of the Indian job market and hiring practices. • Excellent communication and interpersonal skills, with the ability to engage effectively with candidates and stakeholders. • Strong analytical skills and the ability to conduct thorough candidate evaluations. • Proficiency in using ATS specifically Breezy HR, and Job Boards such as LinkedIn Recruiter, Indeed and the like. • Knowledge of local employment laws and regulations in India. • Ability to work in a fast-paced environment and manage multiple priorities. • Team player with a strong work ethic and the ability to handle confidential information with discretion. Job details: • Employment Type: Contract • Duration: 1 year, with the possibility of extension • Compensation: Given the full-time support required, the projected monthly income ranges from ₹30,000 to ₹40,000. • Work Schedule: Monday through Friday, adhering to a night shift to align with US Time Zones (9:30 PM – 6:30 AM IST). • Location: Remote (Work from Home) • Internet Requirements: A minimum internet speed of 50 Mbps is required, with a LAN connection recommended for optimal performance. Join Us: Become a part of our dynamic team and contribute to our mission of finding the best talent to drive our organization forward. If you are passionate about recruitment and want to make a significant impact in a growing company, we would love to hear from you.