وظائف Remofirst

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst is changing how the world hires.<br> We're an affordable, AI-native Employer of Record that combines intelligent agents with a team of human experts to support global hiring, payroll, and HR, while ensuring compliance in 185+ countries.<br> We partner with some of the world's most innovative startups and Fortune 500 companies to support all their global hiring needs.<br> ✨ Since launching in 2021, we've: Grown to a strong team of 200+ people across 40+ countries Raised $39M+, backed by Octopus Ventures, QED Investors, Mouro Capital, and Counterpart Ventures Trusted by startups, fast-growing companies, and Fortune 500 industry leaders.<br> A few amazing customers include HubSpot, PandaDoc, Mastercard, Microsoft Named a Leader in the NelsonHall NEAT Evaluation for Global EOR Services Recognized on Inc.<br>'s Best Workplaces list and Fast Company's Best Workplaces for Innovators We're hyper-focused on delivering a world-class platform and unparalleled service — and we're just getting started.<br> If you want to help us drive that change, we'd love for you to apply!<br> What you'll ownOffensive security Run regular internal penetration tests and vulnerability scans against our Python/Django, FastAPI and Java/Spring Boot services.<br> Coordinate our independent third-party pentests: scope them, judge the findings, and hold people to remediation instead of filing the report.<br> Find the multi-tenancy and authorisation bugs that matter in a platform where one customer's data must never surface in another's account.<br> Secure SDLC Work directly with engineers on code review and threat modelling, and own the ongoing life of our internal security library.<br> Own our SAST/DAST tooling and dependency posture — outdated libraries, license misuse, and the judgement to tell a finding from a real risk.<br> Secure the layers our services run on: PostgreSQL and MongoDB persistence, Kafka and RabbitMQ streams.<br> Build paved roads.<br> A secure SDLC engineers route around is a failed one, so the goal is guardrails they reach for rather than a gate they resent.<br> Cloud security Enforce least privilege across our AWS ecosystem: IAM policies, Service Control Policies, and the EKS, RDS and S3 estate underneath.<br> Harden our container and Kubernetes workloads, and make secrets handling boring.<br> Instrument the above — you should find out about a misconfiguration from an alert, not from a customer.<br> Customer-facing identity Own the architecture and security of our Auth0 implementation for client-facing applications.<br> Extend our internal authentication service to support SCIM provisioning, and stand up OIDC federation with our enterprise clients' IdPs — increasingly what unblocks large deals.<br> Own API security: authorisation logic, token handling, and the failure modes that show up in multi-tenant systems.<br> AI security Define the guardrails for our AI initiatives — what data can reach an LLM prompt, what can't, and how we enforce it.<br> Secure our model pipeline.<br> This is young for us, so you'd be shaping it rather than inheriting it.<br> How you'll work Clear communication and strategic thinking — We work with people all over the world, so we must communicate clearly, adapt quickly, and relay information in different ways depending on the audience.<br> Time management — You'll need to structure your day and prioritize your tasks well, so you can get everything done while maintaining a healthy work-life balance.<br> Collaboration — We love working with all kinds of people in all kinds of places.<br> Everyone's opinion matters when it comes to getting the job done.<br> Independence and autonomy — We're a naturally independent team.<br> While we're always connected, you'll need to use your own initiative to solve problems and find answers — and know when to reach out for help or to confirm a solution.<br> Empathy — You'll need excellent people skills to connect with and motivate yourself and those around you.<br> Empathy is key to navigating all kinds of conversations with different audiences.<br> Motivation — We want our team to be passionate about our mission and consistently driven to do great work.<br> English proficiency is a must.<br> Why this matters Startup environment — RemoFirst is an early-stage startup where your voice matters.<br> You can influence decisions and grow quickly.<br> Build &amp; scale from scratch — Experience hyper-growth and help us build a world-class team that can achieve our ambitious vision.<br> Work for a market leader — Help scale a platform trusted by market-leading companies like Microsoft, Mastercard, and more.<br> 100% remote work — Work from anywhere, with PTO regulated by local statutory requirements.<br> Culture — We lead with respect, kindness, and the right to fail.<br> We value hard, smart work, and diversity and inclusion are part of our DNA.<br> As we grow, we welcome your input to help shape our culture even further.<br> How we support you Parental leave — Up to 90 days paid parental leave for new parents, with additional protections as required locally.<br> Wellbeing stipend — A monthly wellbeing allowance to spend on what supports you, whether that's fitness, mental health, or downtime.<br> Remote-first, always — No office required, ever.<br> Work from wherever you do your best work.<br> Must have Deep hands-on application security in a real engineering organisation: code review, threat modelling, and offensive testing against services you were also responsible for defending.<br> Familiarity with our stack.<br> Python and Java are at the heart of our services (Django, FastAPI, Spring Boot), with Kafka and RabbitMQ between them and PostgreSQL plus some MongoDB underneath.<br> You don't need all of it, but you need to read our code and argue with our engineers on the merits.<br> Strong AWS security — IAM, SCPs, EKS, RDS, S3 — and a view on what least privilege looks like when it has to survive contact with a shipping team.<br> Practical experience securing customer-facing identity: Auth0 or equivalent, plus a working understanding of SAML, OIDC and API-based security.<br> You explain security decisions in terms of risk and business need, and you can say no to a request without making an enemy.<br> Nice to have You write code at the level of building and maintaining tooling and automation, not just scripts.<br> Comfortable with REST APIs, webhooks, and Terraform or similar for config-as-code.<br> AI/LLM security experience: prompt and data-flow risk, model pipeline security, or work against an emerging framework in the space.<br> Exposure to fintech, payroll or another domain where money movement and personal data raise the stakes.<br> You've done this in a globally distributed, remote-first company, where data residency and jurisdiction are real constraints rather than slideware.<br> Familiarity with the EOR or global employment space.<br> Probably not the right fit if You want an architecture role where someone else does the building, or a purely offensive role where you hand off findings and move on.<br> This role is both halves — you find it and you help fix it.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst is transforming the way businesses hire and manage global teams.<br> Our mission is to enable Freedom of Work by providing an all-in-one global HR platform that simplifies hiring, compliance, payroll, and benefits management.<br> We partner with some of the world’s most innovative companies, including Fortune 500 businesses and leading startups.<br> We are a small but strong team of 250+ people (and growing) hyper-focused on delivering a world-class platform and unparalleled service with our industry-leading partnerships.<br> As a Senior AI Engineer, you will build production-grade conversational AI systems and has a strong foundation in modern AI technologies and hands-on experience designing, evaluating, testing, and deploying AI applications at scale.<br> Responsibilities Design, develop, and maintain production-grade conversational AI systems.<br> Own AI features from technical design through deployment and production support.<br> Design scalable AI architectures and agent workflows.<br> Build and maintain AI evaluation frameworks, benchmarks, and automated testing pipelines.<br> Continuously improve AI quality through experimentation, evaluation, and data-driven optimization.<br> Integrate multiple AI providers and select the best models for different use cases.<br> Monitor production AI systems and proactively improve reliability, quality, and performance.<br> Collaborate with product, frontend, and backend teams to deliver end-to-end AI features.<br> Review technical designs and contribute to engineering best practices.<br> Troubleshoot complex AI and production issues while ensuring high-quality, maintainable solutions.<br> Stay up to date with the latest advancements in Generative AI and apply them where they create business value.<br> Startup environment: RemoFirst is an early-stage startup.<br> You have a voice that can influence, and grow rapidly.<br> An opportunity to build a tech unicorn.<br> Growth opportunity: This is a chance to join an AI-forward company driving innovation through artificial intelligence.<br> As Product Designer, you’ll lead product initiatives that deliver strategic impact.<br> Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.<br> Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process.<br> We prioritize speed and results to keep moving forward effectively.<br> Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.<br> Leadership visibility: Reporting into the Lead AI Engineer which means your projects will be strategic and business-critical.<br> Compensation and perks are great: Competitive compensation.<br> 100% remote work.<br> Culture: You will get to work with some of the best colleagues coming from top tech companies.<br> We lead with respect, kindness, and the right to fail.<br> We value hard yet smart work.<br> Diversity and inclusion are part of our DNA.<br> As we grow and evolve, we welcome your input to help us define our culture further.<br> 5+ years of experience building AI-powered applications in production.<br> Strong knowledge of Large Language Models (LLMs), prompt engineering, AI agents, RAG, tool calling, structured outputs, and orchestration frameworks.<br> Proven experience designing and developing conversational AI systems (voice and/or chat applications).<br> Strong understanding of AI system design, including context management, memory, retrieval, multi-agent workflows, and reasoning pipelines.<br> Experience building AI evaluation frameworks, automated testing pipelines, benchmarking, and regression testing.<br> Demonstrated experience improving AI quality through iterative evaluation and experimentation.<br> Strong software engineering fundamentals, including clean architecture, design patterns, testing, and maintainable code.<br> Experience integrating multiple AI providers such as OpenAI, Anthropic, Gemini, or similar.<br> Experience deploying, monitoring, and maintaining AI applications in production environments.<br> Full-stack development experience with modern backend and frontend technologies.<br> Experience with cloud platforms, APIs, CI/CD pipelines, and production deployments.<br> Strong analytical and problem-solving skills.<br> Ability to evaluate multiple AI approaches and select the most effective solution based on quality, reliability, latency, and cost.<br> Ability to independently own complex AI projects from design through production with minimal supervision.<br> Nice to Have Experience building traditional ML applications.<br> Experience with AI observability, tracing, and monitoring.<br> Experience mentoring engineers and driving engineering best practices.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist.<br> We are on a mission to be the FIRST to revolutionise the industry and be a truly generational company.<br> Our platform offers a full range of people management tools, employee benefits like health insurance, and financial benefits, enabling clients to hire anyone from anywhere with one click.<br> RemoFirst manages employees and contractors for Fortune 500 companies (e.<br>g., Microsoft, Mastercard) and the best startups worldwide (e.<br>g., TransferGo).<br> We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc.<br> 5000 list of fastest-growing companies in 2025.<br> Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven solutions to supercharge our operations.<br> We are looking for a Senior Data Engineer to design, build, and operate a scalable, cloud-native data platform that supports both analytics and AI-driven use cases.<br> This role goes beyond traditional data warehousing .<br>You will work closely with AI engineers to build the data foundation that powers LLM applications, agent-based systems and RAG solutions.<br> You will be responsible for building reliable data pipelines, developing curated data models and products, and ensuring high-quality, trusted data is readily available for analytics and AI workloads.<br> Key Responsibilities Design, build and maintain scalable data pipelines using modern data engineering tools (e.<br>g., dbt, Airflow, Prefect).<br> Develop and maintain dimensional and semantic data models to support analytics and operational use cases.<br> Build curated data products that support analytics and modern AI workloads.<br> Design data schemas and storage strategies optimized for both analytical and AI workloads.<br> Build and maintain version control workflows and isolated development/test environments.<br> Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency.<br> Contribute to the architecture and evolution of the organization's modern data platform.<br> Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.<br> Startup environment: RemoFirst is an early-stage startup.<br> You have a voice that can influence, and grow rapidly.<br> An opportunity to build a tech unicorn.<br> Growth opportunity: This is a chance to join an AI-forward company driving innovation through artificial intelligence.<br> As Senior Product Owner, you’ll lead product initiatives that deliver strategic impact.<br> Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.<br> Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process.<br> We prioritize speed and results to keep moving forward effectively.<br> Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.<br> Leadership visibility: Reporting into the Data Lead which means your projects will be strategic and business-critical.<br> Compensation and perks are great: Competitive compensation and 100% remote work.<br> Culture: You will get to work with some of the best colleagues coming from top tech companies.<br> We lead with respect, kindness, and the right to fail.<br> We value hard yet smart work.<br> Diversity and inclusion are part of our DNA.<br> As we grow and evolve, we welcome your input to help us define our culture further.<br> 5+ years of hands-on experience in Data Engineering with proven delivery in production environments.<br> Strong expertise in building scalable data pipelines using Python and SQL.<br> Hands-on experience with modern data engineering tools such as dbt, Airflow, Prefect, or similar.<br> Strong experience with dimensional data modeling and semantic data models.<br> Experience working with cloud platforms (AWS preferred), including services such as S3, Redshift, Athena, Glue, and Lambda.<br> Hands-on experience designing, building and operating modern data infrastructure, including storage, compute, orchestration, and monitoring.<br> Familiarity with modern AI architectures and the data requirements for LLMs, AI agents and RAG applications.<br> What we are looking for Strong ownership mindset with the ability to thrive in a fast-paced startup environment.<br> Ability to translate evolving business, analytics and AI requirements into scalable data solutions.<br> Effective communicator who collaborates well across Data, AI, Product, and Engineering teams.<br> A senior engineer who balances architectural thinking with hands-on execution.<br></span> </div>