Вакансии

Location: Kazakhstan; Armenia; Uzbekistan; Serbia ETG Marketing Hub serves as the central gateway for all marketing activities across ETG’s brands and external channels. We are now launching a new business line — the ETG Marketing Network — enabling advertising placements with leading travel and adtech partners (including display, CTV, mobile, metasearch, social, influencer marketing, and more). Powered by ETG’s rich travel data and booking-level measurement, this network delivers high-impact marketing opportunities. In this role, you will take the network from strategy and pilot projects through to recurring sales and scalable growth. Responsibilities: Strategy and roadmap. Define positioning, priority markets, channels and partners, and set out the stages: pilot, recurring sales, scaling, automation. Partner network. Source, evaluate and onboard adtech/DSP, metasearch, CTV/mobile/social and influencer platforms, including niche and closed inventory. Lead negotiations and manage partner relationships and quality. Monetization model. Structure terms with partners (revenue share, commission, additional margin), model unit economics and own the P&L of the business line. Offers and packages. Package external channels into clear products, including bundles with ETG inventory, and define pricing. Data and measurement. Together with the data, legal and product teams, define how ETG data and audiences are used in external channels, and set up measurement down to bookings. Ensure compliance with data regulations (GDPR and regional rules). Sales together with the Marketing Hub team. Support the sales team: prepare case studies, materials and pitches, and join key deals with hotels, DMOs, airlines and rail operators. Campaign launch and management. Build the process from brief to reporting (media planning, launch, optimization, reporting) and decide what we do ourselves and what we delegate to partners. Internal partners. Work closely with ETG’s marketing and direct supply teams (who interface with hoteliers and hospitality partners), leveraging their expertise and relationships both as routes to new clients and as sources of valuable market insights. Team Development: Begin as a hands-on contributor driving pilot projects and early-stage partnerships. As the business line develops, take the lead in building out a specialist team (including campaign/account managers, analysts, and partnership managers) to support further growth and scale. Requirements 3+ years in adtech/Business Development/partnerships on the side of platform, network, DSP, or agency, with proven deals and negotiations Solid grasp of programmatic and performance metrics (CPA, ROAS, attribution, etc.) at a level sufficient to evaluate partners and verify results personally Experience launching new business lines from scratch with limited budgets Clear strategic thinking: defining positioning, packaged offers, pricing, growth roadmap Hands-on: initiating partnerships, running campaigns, supporting sales teams, owning processes and P&L Fluency in English; additional languages are a plus Preferred Qualifications: Experience launching new business lines or products from scratch, especially in settings with limited budget or resources Prior experience in the travel or hospitality industry Benefits Fully remote work; flexible working schedule. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice

Location: Ta' Xbiex, Malta Neo Group is a Malta-based startup offering B2B services in Marketing, Tech, Data Analytics, Customer Support, HR, and Compliance. Established in 2024, it is built on over 15 years of veteran experience in the iGaming industry. Despite our startup spirit, our team brings a wealth of expertise gained through years of collaboration with industry leaders. With a network of 1,400 talented professionals across 10+ countries, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. Role Overview The VIP Account Manager builds and maintains strong relationships with high-value customers, ensuring exceptional service and personalized support. They proactively engage with VIPs to understand their preferences and deliver tailored experiences that drive satisfaction and loyalty. Collaborating with cross-functional teams, they curate exclusive events, promotions, and rewards. Through data analysis and strategic insight, they enhance engagement and retention across the VIP portfolio. What We Expect From You: Build and nurture strong relationships with VIP customers, ensuring exceptional service and support. Proactively engage with VIP customers to understand their needs, preferences, and goals. Provide tailored recommendations and personalized offers to VIP customers to maximize their satisfaction and loyalty. Act as the main point of contact for VIP customers, addressing their inquiries and resolving any issues they may face. Collaborate with cross-functional teams to deliver VIP experiences, including event invitations, special promotions, and bespoke rewards. Monitor and analyze VIP customer activity and behavior to identify opportunities for engagement and retention. Work closely with the VIP team to develop and execute strategies for VIP customer acquisition and retention. Stay up-to-date with industry trends and best practices in VIP account management. The duties and responsibilities described in this job description are not a comprehensive list and as such additional tasks may be assigned to the employee from time to time; The scope of the job may also be subject to change as necessitated by business demand. Requirements Fluent in both Portuguese and English, both written and spoken Previous experience in VIP account management or a similar customer-facing role Strong relationship-building and communication skills Customer-centric mindset with a passion for delivering exceptional service Excellent problem-solving and conflict resolution skills Ability to multitask and work efficiently in a fast-paced environment Strong analytical skills, with the ability to interpret data and drive insights Experience in the iGaming or related industry is a plus Benefits Join us on an exciting journey to shape and revolutionize a new brand in the market Get ready to enjoy a comprehensive compensation and benefits package designed to enrich your work-life balance and well-being. This package includes a competitive salary, health insurance coverage, access to our on-site gym for a healthy lifestyle, complimentary breakfast and lunch to fuel your day, and a range of diverse social events to foster team spirit, belonging and collaboration Experience an international work environment with a passionate, motivated and professional team Be a part of our modern office space in Ta’Xbiex, conveniently located close to all amenities and one of Malta's sought-after marinas Being part of Neo Group means more than just a job. It's about being a part of a vibrant community with over 40 nationalities across 8 global locations. As we embrace a thrilling phase of hyper-growth and scale-up, our success is fueled by the diversity and talent of our team—potentially including you! Explore Neo Group Further: For more details about life and careers at Neo Group, visit our Career Website connect with us on Instagram , and engage with us on LinkedIn . Ready to redefine the future of iGaming with us? Apply today and become a part of something truly spectacular!

Location: Belgrade, Serbia Sperasoft is hiring a Material Artist for stylized project for creating high-quality materials and textures, using our technical requirements, adapt textures from stock repositories such as Megascans to our pipelines, collaborating with the team to ensure technical compatibility, cohesive and visually appealing designs. If you are passionate about materials creation, creating visually stunning assets and capable of understanding and following technical requirements and pipelines, this is the perfect opportunity for you. Responsibilities Produce outstanding materials using Substance Designer, Substance Painter, ZBrush or DCC of your choice. Work with the Lead and Art Director to ensure that materials match Art Direction, style, setting and target quality Work closely with Level Artists to make materials that will be convenient for them to use. Maintain integrity and uniformity of material library. Setup materials in the engine and ensure they work correct and blend properly. Be independent, do research and implement the latest industry trends and techniques. Picking the right software for the job without focusing on Substance Designer specifically. Requirements Deep & highly proficient knowledge of Substance Designer Knowledge of PBR and physically based material standards High proficiency with Maya or similar Experience with Megascans Strong communication and mentoring skills Autonomy and independence Good eye for appropriate stylization and detail Able to produce materials in a wide variety of styles and themes At least one shipped title within the industry Knowledge of material optimization for real time engines Knowledge about material blending systems Benefits Learning & development opportunities Exceptional private medical insurance plan Casual workplace environment; new renovation and relaxation area Friendly team and a family-like environment Role Information: EN Studio: Sperasoft Location: Europe, Serbia, Belgrade Area of Work: Art Services Service: Create Employment Type: Full-time, Permanent

Location: Yerevan, Armenia Sperasoft is hiring a Material Artist for stylized project for creating high-quality materials and textures, using our technical requirements, adapt textures from stock repositories such as Megascans to our pipelines, collaborating with the team to ensure technical compatibility, cohesive and visually appealing designs. If you are passionate about materials creation, creating visually stunning assets and capable of understanding and following technical requirements and pipelines, this is the perfect opportunity for you. Responsibilities Produce outstanding materials using Substance Designer, Substance Painter, ZBrush or DCC of your choice. Work with the Lead and Art Director to ensure that materials match Art Direction, style, setting and target quality Work closely with Level Artists to make materials that will be convenient for them to use. Maintain integrity and uniformity of material library. Setup materials in the engine and ensure they work correct and blend properly. Be independent, do research and implement the latest industry trends and techniques. Picking the right software for the job without focusing on Substance Designer specifically. Requirements Deep & highly proficient knowledge of Substance Designer Knowledge of PBR and physically based material standards High proficiency with Maya or similar Experience with Megascans Strong communication and mentoring skills Autonomy and independence Good eye for appropriate stylization and detail Able to produce materials in a wide variety of styles and themes At least one shipped title within the industry Knowledge of material optimization for real time engines Knowledge about material blending systems Benefits Learning & development opportunities Exceptional private medical insurance plan Casual workplace environment; new renovation and relaxation area Friendly team and a family-like environment Role Information: EN Studio: Sperasoft Location: Asia, Armenia, Yerevan Area of Work: Art Services Service: Create Employment Type: Full-time, Permanent

Location: Belgrade, Serbia We're looking for a Associate Technical Director with a strong technical background and production expertise to lead the development of multiple mobile projects for one of our partners. In this role, you will be the key stakeholder for technical execution, collaborating with internal teams and external partners to ensure high-quality standards and production efficiency. You will act as an independent auditor, consultant, and technology owner, reporting directly to the Head of Engineering. This position is an excellent opportunity for a Technical Lead or Project Lead to step into a Director-level role within a well-established environment. Responsibilities: Direct technical aspects of development and production, oversee quality management. Promote best practices, technical standards, and the adoption of relevant tools. Identify technical risks early and provide proactive solutions. Define and drive the strategy for core project technology (shared engine, tools, and build system). Mentor Leads and guide Senior Engineers on technology choices, architecture, and design decisions. Make hiring decisions for Senior and Lead candidates. Contribute to the assessment of new project opportunities and bid proposals. Provide necessary support for project kickoffs, including advising on team composition. Initiate knowledge-sharing sessions for software engineers across the department. Represent and promote the Company during customer calls, on-site visits, and industry events. Requirements 7+ years of professional software development experience. 2+ years of experience leading an entire game development team of 8+ software engineers. Professional development experience in C++. Proven experience with mobile development, publishing, and platform limitations (hardware, software, and dependencies). Significant development experience in the following domains: UI, Gameplay, Engine). Significant experience fixing low-level issues (memory, multi-threading, obscure crashes). Experience with task planning, estimation, and tracking. Experience mentoring or hiring Senior engineers. Familiarity with Art and Production workflows within game development. Strong organizational and communication skills. Professional fluency in English (spoken and written). Passion for gaming. Would be a plus: Development experience in AAA games. Professional experience with Unreal Engine. Proficiency in Python, C#, Java, or TypeScript. Strong skills in performance and memory optimization. Experience with back-end development. Experience setting up CI/CD tools (e.g., TeamCity, Jenkins). Experience managing VCS branch structure, preferably in Perforce. Experience with Console development and certification (PlayStation, Xbox, Nintendo Switch). Experience working within globally distributed teams. Experience working with external outsourcing partners. Live Service game ownership experience. Product owner mindset. Deep understanding of management methodologies (Scrum, Waterfall). Benefits Cooperating with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events

Выявление процессов, которые можно автоматизировать ИИ-агентами: интервью с заказчиками, анализ текущей работы, оценка применимости и ожидаемого бизнес-эффекта. Описание сценариев агента: входные данные, доступные действия, бизнес-правила, ожидаемые результаты, уточнения у пользователя и условия передачи задачи человеку.

-Проектировать и разрабатывать микросервисы ядра на Java 17 / Micronaut (без Spring). -Работать с event-driven-обменом: вся межсервисная связь — через брокер сообщений, async-first, database-per-service, eventual consistency.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Responsibilities Execute audio, display, and video ad campaigns across multiple platforms, including DV360, The Trade Desk, Amazon DSP, and others, under the guidance of senior team members. Troubleshoot basic ad-serving and campaign-related issues.

This leader owns customer enablement across Alloy. It is a role that builds and runs the program behind enablement: capturing knowledge continuously, packaging it for the right audience at the right moment, running hands-on customer training sessions, and measuring what works.

Задачи: — Руководство проектированием, разработкой и внедрением on-premises MLOps решений для поддержки доставки моделей машинного обучения — Сотрудничество с дата-сайентистами и разработчиками для создания масштабируемых и эффективных конвейеров данных, систем обучения и деплоя моделей — Разработка и поддержка инструментов мониторинга и управления для обеспечения надежности и производительности MLOps инфраструктуры — Взаимодействие с заинтересованными сторонами для понимания их потребностей в машинном обучении и разработки соответствующих решений — Отслеживание новейших трендов и технологий в области MLOps, машинного обучения и искусственного интеллекта, обмен знаниями с командой — Наставничество младших членов команды и помощь в развитии их навыков в MLOps — Поиск и устранение проблем пользователей Требования: — Опыт работы 5+ лет в MLOps, разработке ПО, инженерии данных или смежных областях — Сильные навыки программирования на современных языках (Java, Scala, Python, Kotlin) — Практический опыт работы с Kubernetes: деплой и эксплуатация рабочих нагрузок, отладка сбоев, работа с основными концепциями (Deployments, ConfigMaps/Secrets, Services, resource limits) — Отличные коммуникативные и командные навыки — Ценность простоты и производительности кода Будет плюсом: — Понимание жизненного цикла ML-проектов — Опыт работы с MLOps платформами, такими как Kubeflow или MLFlow — Опыт с ML-фреймворками: scikit-learn, LGBM, Tensorflow, PyTorch — Опыт работы с Big Data инструментами: Spark, S3, Hadoop — Глубокие знания контейнеризации и оркестрации (Docker, Kubernetes) — Опыт DevOps и CI/CD практик — Опыт создания и масштабирования инструментов для обслуживания моделей, включая построение API с жесткими SLA — Страсть к инженерной стороне машинного обучения и масштабированию — Опыт проектирования и построения MLOps инфраструктуры, включая конвейеры данных, системы обучения и деплоя моделей, а также инструменты мониторинга и управления.

-Разработка нового и доработка существующего функционала на базе 1С Предприятие. -Написание функционала Web-service.

Location: Dubai, United Arab Emirates; London, United Kingdom; Paris, France; Rome, Italy; Russia AHS, is seeking a highly professional, discreet, and experienced Close Protection Officer / Travelling Security to provide personal security and protection for a high-profile principal during daily activities, private engagements, and international travel. The successful candidate will be responsible for maintaining a secure environment, conducting proactive risk assessments, coordinating travel security arrangements, and ensuring the principal's safety, privacy, and comfort at all times. This role requires exceptional situational awareness, sound judgement, flexibility, and the ability to operate discreetly within a private, high-net-worth environment. Responsibilities Provide close protection and personal security for the principal during daily activities, private engagements, and international travel. Conduct advance security assessments of destinations, venues, residences, hotels, and travel routes. Plan and coordinate secure movements, transportation, and travel logistics. Identify potential security threats and implement appropriate preventive measures. Maintain continuous situational awareness and respond effectively to security incidents or emergencies. Coordinate with local security teams, venue personnel, drivers, and relevant authorities when required. Protect the principal's privacy and maintain strict confidentiality regarding personal, professional, and travel-related information. Monitor changing security conditions and adapt protection arrangements accordingly. Maintain professional conduct, readiness, and flexibility in line with the principal's schedule and operational requirements. Prepare security briefings, incident reports, and relevant risk assessments as required. Requirements Proven experience in close protection, executive protection, travelling security, or a comparable personal security role. Experience protecting high-net-worth individuals, senior executives, VIPs, or private principals is highly desirable. Relevant close protection or security training and certifications. Strong knowledge of threat assessment, advance planning, secure movement, and emergency response procedures. Experience accompanying principals on international travel and operating in different security environments. Excellent situational awareness, discretion, communication, and decision-making skills. Physically fit, professionally presented, and capable of maintaining a high level of readiness. Flexible and available to accommodate international travel and changing operational schedules. High level of integrity, confidentiality, emotional control, and professionalism. Valid driving licence and strong driving skills are an advantage. First aid and emergency medical response training are preferred. This position requires the highest standards of discretion and confidentiality when handling all matters relating to the principal, their family, residences, movements, and private affairs. Personal Attributes Discreet, trustworthy, and security-conscious. Calm and composed under pressure. Proactive, observant, and detail-oriented. Adaptable to demanding schedules and international environments. Able to work independently while coordinating effectively with the principal's wider support team. Benefits Why Join AHS? Innovative Environment : Be part of a forward-thinking company that embraces innovation and creativity in the luxury real estate market. Career Advancement : Enjoy opportunities for professional growth and development, with a clear path for career progression. Exclusive Properties : Work with a portfolio of some of the most prestigious and exclusive properties in the market. Collaborative Culture : Join a team-oriented environment where collaboration and mutual support are highly valued. Client-Centric Approach : Be part of a company that prioritizes exceptional customer service and client satisfaction. Competitive Compensation : Receive a competitive salary and benefits package that rewards your hard work and dedication. Global Network : Leverage a robust network of industry contacts and high-net-worth clients. Cutting-Edge Technology : Utilize the latest sales management software and CRM systems to enhance your efficiency and effectiveness. Recognition and Rewards : Benefit from a culture that recognizes and rewards outstanding performance and achievements. Work-Life Balance : Enjoy a supportive work environment that values work-life balance and employee well-being. Please Note: Due to the high volume of applications we receive, only shortlisted candidates will be contacted. We appreciate your understanding.

Location: Dhahran, Saudi Arabia; Riyadh, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates We are seeking an experienced Lead Digital Solutions Analyst to support advanced AI technology initiatives and contribute to the development of next-generation AI solutions. The successful candidate will work on AI modules, scalable data pipelines, backend infrastructure, and real-time data processing systems, supporting the development of Large Language Models (LLMs), Large Time-Series Models, and Large Vision Models. Key Responsibilities Develop and implement AI modules, pipelines, solutions, and services for advanced AI technologies. Design and develop scalable backend infrastructure to support real-time data ingestion, AI model inference, and user access. Build real-time data processing components using event-driven architecture. Apply microservices and agentic AI architectures to support scalability and flexible system development. Develop data pipelines for data preprocessing, normalization, labelling, transformation, feature engineering, and storage. Support research and development initiatives for sovereign AI technologies, including Large Language Models, Large Time-Series Models, and Large Vision Models. Collaborate with cross-functional teams to develop, integrate, and optimize AI-driven solutions. Requirements Bachelor's degree in Graphic Design or an equivalent qualification, as specified for the position. Minimum 10 years of relevant professional experience in graphic design, data science, AI technologies, or a related field. Experience in AI solution development, data pipelines, or AI technology implementation. Knowledge of backend infrastructure, real-time data processing, and event-driven architectures. Familiarity with microservices, agentic AI architectures, and scalable AI applications. Understanding of data preprocessing, transformation, feature engineering, and data storage. Exposure to Large Language Models, time-series models, or computer vision technologies is an advantage. Strong analytical, problem-solving, and collaboration skills.

Location: Almaty, Kazakhstan Workplace: OnSite Software Engineer, Infrastructure Almaty, Kazakhstan Build the shared infrastructure that helps Higgsfield’s product teams ship quickly and run reliable services. You’ll own problems from finding the bottleneck to shipping a solution and supporting it in production. What you’ll do - Build shared services for queues, job scheduling, caching, configuration, and service communication. - Improve concurrency limits, resource allocation, and recovery for long-running media workloads. - Make database access, migrations, and connection management safer and faster. - Simplify service setup, testing, deployment, and production debugging. - Improve observability, investigate incidents, and reduce infrastructure cost per completed job. - Work directly with product engineers, ship focused improvements, and measure the results. Our release cycle is days, not quarters. Required - Experience running production systems on Kubernetes (K8s) and AWS, including deployments, scaling, networking, and troubleshooting. - Strong software engineering skills: you build shared services, tools, and automation that other engineers use. - Experience with databases, queues, and distributed systems, including performance debugging, safe rollouts, and recovery. - A difficult production problem you owned from an unclear starting point to a working solution. - Ability to set priorities, make practical tradeoffs, remove blockers, and ask for help when needed. - Clear communication, openness to feedback, and knowledge sharing so others can operate and extend your work. Nice to have - Cloudflare. - Infrastructure as code. - PostgreSQL, Redis, or event-streaming systems. - High-throughput media pipelines or AI workload orchestration. Interview process 1. Recruiter screen: expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, your decisions, and the results. 3. Additional technical interview, if needed. 4. Product fit interview: investigate a team’s bottleneck and plan a practical improvement, adoption, and safe rollout. 5. Offer. What we offer Competitive base pay in USD, equity, relocation support, and ownership of infrastructure used across our engineering teams.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists Our ML and analytics teams already work on fraud detection and risk analysis. This role owns the backend that turns their signals into reliable protections across accounts, credits, payments, and generation. You'll integrate risk checks into product flows, build enforcement services and operator tools, and make sure controls work correctly in production. We're looking for an engineer we can trust to take a backend problem from an unclear starting point to a working solution. What you'll actually do - Risk integrations: connect existing ML scores and risk signals to account creation, credit usage, payments, and generation flows, with clear timeouts and fallback behavior. - Enforcement services: implement configurable rules, rate limits, account restrictions, and credit or payment controls with consistent behavior across services. - Operator tooling: build APIs and workflows for reviewing cases, inspecting decision history, and safely applying or reversing restrictions. - Production reliability: handle retries, duplicate events, concurrent requests, and safe rollouts; add monitoring and audit trails so failures can be traced and fixed. - Work in other teams’ codebases to add signals or interventions without hurting their stability or architecture. - Ownership: clarify the control with ML, analytics, and operations → scope the smallest useful implementation → ship → verify production behavior and review impact with the team. Our release cycle is days, not quarters, so your first shipped protection happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable backend services: APIs, data models, queues, transactions, idempotency, and concurrency. You can integrate external services and debug failures across the request and event lifecycle. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You work with ML, analytics, and operations to turn risk requirements into clear backend behavior. You use operator feedback and customer cases to improve controls and learn unfamiliar systems quickly. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer problems where requirements stay stable after launch. - You prefer work centered on training models or producing analysis rather than building and operating backend services. Nice to have - Fraud prevention, payments risk, or platform abuse experience. - Integrating risk-scoring services or building rules engines and rate limiters. - Case management, appeals, and risk operations tooling. - Familiarity with Stripe. - Experience building real-time scoring, graph-based account linkage systems. - Python/Go experience. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: take an existing risk signal and an operator need, scope a backend protection, and work through failure cases and effects on legitimate customers. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of protections that preserve both company revenue and customer trust.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists An agent needs more than a model response to complete useful work. It needs tools, durable execution, permissions, context, and a way to recover when something fails. You'll build the backend that lets Higgsfield agents carry creative tasks from a user's request to a finished result. We're looking for an engineer we can trust with a problem: work out what is worth building, build it, and carry it through to users. What you'll actually do - Agent execution: build orchestration for multi-step tasks, tool calls, streaming updates, and cancellation. - Durable workflows: implement checkpoints, resumability, retries, and recovery without duplicating actions. - Tools and integrations: connect agents to generation, editing, and external services through clear, validated interfaces. - Execution boundaries: enforce user permissions, tenant isolation, resource limits, and approval requirements for consequential actions. - Evaluation and observability: trace failures, build regression cases, and improve task completion, latency, and cost. - Ownership: understand a real user task → define success and build evaluation cases → scope the simplest useful workflow → ship → measure completion, reliability, and dollar impact → improve from failed runs. Our release cycle is days, not quarters, so your first shipped agent capability happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable agent execution: state machines, concurrency, queues, recovery, model APIs, secure tool calls, and repeatable evaluations. You learn unfamiliar tools quickly and understand what you ship. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You investigate real user tasks and failed agent runs, use feedback to choose what to automate, and stop workflows that do not help users finish their work. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer deterministic application behavior without investigating model uncertainty. - You prefer prototyping without owning evaluation, recovery, and production reliability. Nice to have - Production agents, workflow engines, or developer tools. - High-throughput systems with heavy traffic, large data volumes, or many long-running jobs. - Agent context management, memory, subagents, or parallel tool calls. - Sandboxed execution and scoped authorization. - Multimodal workflows involving images, video, or audio. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: scope a useful tool-using workflow, evaluate failures, and explain when user feedback would lead you to change or stop it. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of systems that turn AI capabilities into completed creative work.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists Higgsfield builds tools for AI creators: creative workflows, collaborative projects in Cinema Studio, and a community for sharing work. We need a backend engineer who combines deep database and architecture expertise with the initiative to own product outcomes, from the first idea to production. What you'll actually do - Build AI creation workflows, Cinema Studio collaboration, and community features: sharing, discovery, contests, profiles, and follows. - Own features and bugs through release and follow-up. Define API contracts and coordinate frontend work to deliver the complete feature. - Deliver responsive UX: live progress, timely updates, and clear failure recovery, even when it takes more engineering effort. - Remove database and service bottlenecks under high traffic; improve correctness, latency, and reliability. - Define success metrics, build dashboards and alerts, and track adoption and system health after launch. Must-haves 1. Deep database expertise: data modeling, indexes, query plans, partitioning, transactions, and locking. You diagnose production bottlenecks and understand the trade-offs behind your fixes. 2. Strong architecture judgment: service boundaries, APIs, asynchronous workflows, caching, and failure handling. Hands-on Kubernetes and CI/CD experience, from design and testing to deployment and debugging. 3. A track record of shipping and operating backend systems across multiple projects, including high-traffic workloads. You can explain your decisions and measurable results. 4. API security: authentication, object-level authorization, and tenant isolation. You prevent IDOR in reads and writes, including resource IDs in request bodies, and test access across users and workspaces. 5. You've built or studied social networks and collaborative tools, and can explain design trade-offs in feeds, follow graphs, notifications, sharing permissions, real-time sync, and concurrent edits. 6. High agency and ownership: you find worthwhile problems, propose improvements, remove blockers, and follow through without waiting for assignments. 7. Low ego: you welcome direct feedback, admit mistakes, change your mind with evidence, and help wherever the team needs you. 8. Ambition and optimism: hard goals and rapid growth energize you. You challenge assumptions constructively and commit to making ambitious ideas work. 9. Energy for an intense pace, shifting priorities, and urgent launches or production issues that can require work outside regular hours. Our tech stack - Languages and frameworks: Python (FastAPI), Go (Gin), and TypeScript (React/Next.js on the frontend). - Data: PostgreSQL and Redis; analytical databases such as BigQuery or ClickHouse. - Messaging: Kafka, Amazon SQS, and RabbitMQ; event-driven services and asynchronous workers. - AWS: S3, DynamoDB, ECR, and Secrets Manager. - Infrastructure: Docker, Kubernetes on Amazon EKS, Helm, Argo CD, and GitHub Actions. - Observability: Prometheus, Grafana, OpenTelemetry, and Sentry. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: turn a user problem into a small first release, decide what to leave out, and explain how feedback would change the solution. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI.