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Location: Melbourne, Florida, United States BRPH is a technically focused, creative architecture, engineering, and construction company with over six decades of expertise in helping mission-driven clients in the aerospace, defense, manufacturing, commercial, education, entertainment, hospitality, and federal markets identify gaps in their program delivery and develop innovative solutions to their most challenging problems across the U.S. and around the world. Consistently ranked among the nation’s top firms, we take pride in solving complex challenges with forward-thinking solutions. About Melbourne: Our headquarters is located in Melbourne, Florida, a vibrant city on the Space Coast where high-tech innovation meets coastal living. Here, you’ll work on dynamic, impactful projects while enjoying front-row views of rocket launches from our rooftop and quick access to some of Florida’s most beautiful beaches. Just an hour from world-class attractions like Disney World and Universal Studios, Melbourne offers the perfect balance of career growth, family life, and fun, all in a warm subtropical climate with a relaxed, suburban feel. SUMMARY The Structural Engineer (PE) will utilize engineering knowledge, judgment, and design software to perform structural analysis, design, and preparation of construction documents for building and facility projects. The individual will independently perform engineering assignments, lead structural design efforts on routine and moderately complex projects, coordinate multidisciplinary project activities, and provide technical leadership to junior staff while supporting successful project delivery through all phases of design and construction. ESSENTIAL DUTIES AND RESPONSIBILITIES Independently performs structural analysis, engineering calculations, and design for building and facility projects utilizing applicable codes, standards, and engineering practices. Leads structural design efforts for routine and moderately complex projects and performs significant portions of larger, more complex projects. Applies sound engineering judgment to develop practical, efficient, and constructible structural solutions. Prepares and reviews structural construction documents including plans, details, schedules, specifications, calculations, and technical reports. Develops and coordinates Revit and AutoCAD construction documents utilizing engineering calculations, project requirements, and BRPH standards. Researches and interprets applicable building codes, design standards, and regulatory requirements. Coordinates structural systems with architectural, civil, mechanical, electrical, and other project disciplines to ensure integrated project delivery. Performs site investigations, facility assessments, condition evaluations, and field observations during design and construction. Provides construction administration services including shop drawing reviews, responses to RFIs, site observations, field reports, and resolution of construction-related issues. Utilizes engineering software including RISA, RAM, ENERCALC, and related analysis tools to develop structural designs and calculations. Reviews, coordinates, and approves structural engineering work prepared by junior engineers, designers, and drafters to ensure technical accuracy and compliance with project requirements. Performs quality control reviews of engineering calculations, drawings, specifications, and project deliverables prepared by engineers, designers, and drafters. Provides technical guidance, mentorship, and coordination to Early Career Engineers, designers, and drafting staff. Assists project managers and senior engineers with project planning, scheduling, and coordination activities. Participates in client coordination meetings and maintains effective communication with clients, contractors, and project stakeholders. Promotes communication, collaboration, quality, and technical excellence among project team members. Responsible for compliance with BRPH Policies and Procedures, Quality Standards, and CAD/BIM Standards. EDUCATION / EXPERIENCE Bachelor of Science in Civil Engineering with a Structural emphasis or related engineering degree from an ABET-accredited college or university. Master's degree in Structural Engineering is a plus. Four (4) to eight (8) years of structural engineering experience in building design preferred. Experience in structural analysis, design, construction administration, and preparation of construction documents required. Experience coordinating multidisciplinary design teams and mentoring junior staff preferred. SOFTWARE SKILLS Proficiency with Revit, AutoCAD, Bluebeam, and Microsoft Office Suite. Proficiency with structural analysis and design software including RISA, RAM, ENERCALC, and similar engineering programs. CERTIFICATES, LICENSES, REGISTRATIONS Active Professional Engineer (PE) license required. Ability to obtain licensure in additional states as required. Structural Engineer (SE) licensure is a plus. Due to the nature of our work and security clearance requirements, U.S. citizenship is required. BENEFITS OF JOINING BRPH Employee-owned company. Mentorship from licensed Professional Engineers. Diverse project portfolio across multiple industries. Support for PE licensure and professional development. Opportunities for field experience and client interaction. Collaborative multidisciplinary teams. Career growth and advancement opportunities within a nationally recognized A/E/C firm. PHYSICAL REQUIREMENTS: The work is semi-sedentary work and requires the ability to lift up to 20 pounds. Manual dexterity, hearing, mental acuity, typing, reaching, repetitive motion, speaking, talking, and visual acuity. Ability to navigate and move around the construction site, which may involve walking, climbing ladders, and standing for extended periods on uneven surfaces. Ability to operate a motor vehicle. Ability to stand and sit for periods longer than 30 minutes but not to exceed two hours consecutively. Ability to control behavior when encountering stressful situations or short deadlines and to maintain a high level of concentration. Ability to print and draw letters, numbers, words, characters, and symbols that are legible and understood by others. Ability to learn complex tasks and remember how to complete tasks without assistance once trained. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. #LI-SP1 This job description may be changed to include new responsibilities and tasks or change existing ones as management deems necessary. EOE, including Disability/Vets

Location: São Paulo Office Workplace: Hybrid About The Role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Lead Solutions Engineer in our São Paulo office. What You'll Do as Forward Deployed Engineer - Lead complex AI-driven Taktile deployments in production. You own technical delivery across multiple deployments, from scoping high-impact Agentic AI use cases to stable production. - Apply your technical expertise, problem-solving skills and creativity to help organizations address real-world challenges. Your day could include designing solution architectures, developing decision logic and deploying production-grade Generative AI agents, or aligning with key customer stakeholders - all while ensuring an outstanding experience and rapid time to value for Taktile’s customers. - You effectively scope work, sequence delivery, and proactively remove blockers, while making thoughtful trade-offs between scope, speed, and quality to ensure successful and timely project delivery. - Partner with Taktile’s product management team to turn your understanding of customer needs into actionable product insights, directly influencing the evolution of Taktile’s product roadmap. - Develop reusable resources, best practices, and tools to share your expertise and help scale the forward deployed engineering function across the organization. About You - You bring 2-6 years of engineering or technical deployment experience that includes customer-facing work. - You are fluent in both English and Portuguese. Exceptional English communication skills are essential for this role, as you will regularly lead complex technical and business conversations with global customers and internal teams. - You have strong technical background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. - You write and review production-grade Python and SQL, and have strong command of REST API design and integrations. - You excel at breaking down complex problems and making quick, well-informed decisions even under pressure. - You build strong relationships with both technical and business stakeholders at all levels, driven by curiosity and a customer-centric mindset that helps you understand their needs and solve their challenges. - You're collaborative, curious, and low-ego- you work well across product, engineering, and GTM teams, and you bring a genuine desire to understand customers' businesses. - You are based in the São Paulo area and comfortable traveling for in-person customer or team meetings. Ideal Qualifications (but not required) - You have 3-10 years of experience as a Forward Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company. - You have experience in building AI applications within financial services - You have experience in applying and optimizing statistical and machine learning models to solve business problems. - You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). - You have experience of working at or with tier-1 banks in Brazil for risk decision solutions/vendors deployment projects. What We Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.   By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The Compute Operations team support the day-to-day operation of on-prem compute infrastructure, covering HPC server hardware, Linux-based platforms, and user-facing support. You will work closely with the Compute Ops Team Lead, Linux engineers, and other platform groups to maintain reliable, performant compute services across Slurm, Kubernetes, and control-plane environments. Your Future Role within QRT You will: Provide hands-on support for HPC server hardware, including diagnostics, issue investigation, and coordination with vendors for repairs Monitor system health and respond to alerts using infrastructure monitoring tools Support hardware lifecycle activities, including provisioning, maintenance, and decommissioning Troubleshoot Linux-based systems across OS, networking, and storage layers Triage and resolve user-facing issues across compute platforms such as Slurm and Kubernetes Coordinate with internal teams and vendors on maintenance and incident resolution Execute scheduled maintenance and change activities Maintain accurate infrastructure records and documentation Contribute to runbooks and continuous improvement of operational processes Participate in on-call rotations and incident response Your Present Skillset 2–5 years of experience in compute infrastructure, systems engineering, or a related role Strong Linux systems administration experience (i.e. RHEL, Rocky Linux, or similar) Strong understanding of server hardware (i.e. compute, storage, networking components) Familiarity with infrastructure monitoring tools (e.g. OneView, Dell OME, or similar) Exposure to HPC or platform environments such as Slurm or Kubernetes Experience or familiarity with operational tooling (i.e. NetBox, DNS, HashiCorp Vault, Ansible, scripting languages or similar) Knowledge of automation or scripting (e.g. Bash, Python, Ansible) Strong troubleshooting and problem-solving skills Ability to communicate effectively and work in a collaborative environment Understanding of datacentre operations and safety practices is beneficial QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Madrid Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an Engineering Manager to lead multiple engineering teams within a product domain and drive execution, engineering excellence, and people development at scale.This role requires a strong engineering leader who can connect business goals with technical execution, foster a high-performance culture, and ensure teams remain aligned around product outcomes, architectural integrity, and operational quality.You should be comfortable operating in a fast-paced product environment, balancing delivery, technical quality, organizational scalability, and team engagement while collaborating closely with Product, Architecture, and Engineering leadership.Responsibilities:Lead multiple engineering teams within a product domain, ensuring predictable delivery, strong execution, and high engineering standardsPartner closely with Product Leaders, Architects, and stakeholders to align technical decisions and delivery plans with business goalsDrive a culture of ownership, accountability, collaboration, quality, and continuous improvement across teamsSupport teams in designing scalable, maintainable solutions while balancing delivery speed, technical debt, and long-term product healthImprove engineering processes, delivery effectiveness, operational maturity, and cross-team collaborationFoster experimentation, fast feedback loops, pragmatic decision-making, and adoption of modern engineering practicesMentor and develop engineers, support career growth, performance management, and leadership developmentParticipate in hiring, organizational scaling, and resource planning across the domainRequirements:Experience managing software engineering teamsStrong software engineering background in .NET, with hands-on experience in scalable distributed systems and cloud architecturesProven ability to drive delivery, engineering quality, and organizational effectivenessStrong understanding of modern software development practices, Agile delivery, and system designAbility to communicate effectively and clearly                                                                                    Experience collaborating with Product, Architecture, and cross-functional stakeholdersStrong leadership, communication, and people management skillsExperience mentoring engineering talentAbility to make pragmatic decisions and operate effectively in fast-paced environmentsExperience with AI-powered products or AI-assisted engineering workflows is a plusUpper-Intermediate or higher English levelWhat you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. Who We’re Looking For: We are looking for an Engineering Manager to lead multiple engineering teams within a product domain and drive execution, engineering excellence, and people development at scale. This role requires a strong engineering leader who can connect business goals with technical execution, foster a high-performance culture, and ensure teams remain aligned around product outcomes, architectural integrity, and operational quality. You should be comfortable operating in a fast-paced product environment, balancing delivery, technical quality, organizational scalability, and team engagement while collaborating closely with Product, Architecture, and Engineering leadership. Responsibilities: Lead multiple engineering teams within a product domain, ensuring predictable delivery, strong execution, and high engineering standards Partner closely with Product Leaders, Architects, and stakeholders to align technical decisions and delivery plans with business goals Drive a culture of ownership, accountability, collaboration, quality, and continuous improvement across teams Support teams in designing scalable, maintainable solutions while balancing delivery speed, technical debt, and long-term product health Improve engineering processes, delivery effectiveness, operational maturity, and cross-team collaboration Foster experimentation, fast feedback loops, pragmatic decision-making, and adoption of modern engineering practices Mentor and develop engineers, support career growth, performance management, and leadership development Participate in hiring, organizational scaling, and resource planning across the domain Requirements: Experience managing software engineering teams Strong software engineering background in .NET or JS, with hands-on experience in scalable distributed systems and cloud architectures Proven ability to drive delivery, engineering quality, and organizational effectiveness Strong understanding of modern software development practices, Agile delivery, and system design Ability to communicate effectively and clearly Experience collaborating with Product, Architecture, and cross-functional stakeholders Strong leadership, communication, and people management skills Experience mentoring engineering talent Ability to make pragmatic decisions and operate effectively in fast-paced environments Experience with AI-powered products or AI-assisted engineering workflows is a plus Upper-Intermediate or higher English level What you should expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Ukraine Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an Engineering Manager to lead multiple engineering teams within a product domain and drive execution, engineering excellence, and people development at scale.This role requires a strong engineering leader who can connect business goals with technical execution, foster a high-performance culture, and ensure teams remain aligned around product outcomes, architectural integrity, and operational quality.You should be comfortable operating in a fast-paced product environment, balancing delivery, technical quality, organizational scalability, and team engagement while collaborating closely with Product, Architecture, and Engineering leadership.Responsibilities:Lead multiple engineering teams within a product domain, ensuring predictable delivery, strong execution, and high engineering standardsPartner closely with Product Leaders, Architects, and stakeholders to align technical decisions and delivery plans with business goalsDrive a culture of ownership, accountability, collaboration, quality, and continuous improvement across teamsSupport teams in designing scalable, maintainable solutions while balancing delivery speed, technical debt, and long-term product healthImprove engineering processes, delivery effectiveness, operational maturity, and cross-team collaborationFoster experimentation, fast feedback loops, pragmatic decision-making, and adoption of modern engineering practicesMentor and develop engineers, support career growth, performance management, and leadership developmentParticipate in hiring, organizational scaling, and resource planning across the domainRequirements:Experience managing software engineering teamsStrong software engineering background in .NET, with hands-on experience in scalable distributed systems and cloud architecturesProven ability to drive delivery, engineering quality, and organizational effectivenessStrong understanding of modern software development practices, Agile delivery, and system designAbility to communicate effectively and clearly                                                                                    Experience collaborating with Product, Architecture, and cross-functional stakeholdersStrong leadership, communication, and people management skillsExperience mentoring engineering talentAbility to make pragmatic decisions and operate effectively in fast-paced environmentsExperience with AI-powered products or AI-assisted engineering workflows is a plusUpper-Intermediate or higher English levelWhat you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. Who We’re Looking For: We are looking for an Engineering Manager to lead multiple engineering teams within a product domain and drive execution, engineering excellence, and people development at scale. This role requires a strong engineering leader who can connect business goals with technical execution, foster a high-performance culture, and ensure teams remain aligned around product outcomes, architectural integrity, and operational quality. You should be comfortable operating in a fast-paced product environment, balancing delivery, technical quality, organizational scalability, and team engagement while collaborating closely with Product, Architecture, and Engineering leadership. Responsibilities: Lead multiple engineering teams within a product domain, ensuring predictable delivery, strong execution, and high engineering standards Partner closely with Product Leaders, Architects, and stakeholders to align technical decisions and delivery plans with business goals Drive a culture of ownership, accountability, collaboration, quality, and continuous improvement across teams Support teams in designing scalable, maintainable solutions while balancing delivery speed, technical debt, and long-term product health Improve engineering processes, delivery effectiveness, operational maturity, and cross-team collaboration Foster experimentation, fast feedback loops, pragmatic decision-making, and adoption of modern engineering practices Mentor and develop engineers, support career growth, performance management, and leadership development Participate in hiring, organizational scaling, and resource planning across the domain Requirements: Experience managing software engineering teams Strong software engineering background in .NET or JS, with hands-on experience in scalable distributed systems and cloud architectures Proven ability to drive delivery, engineering quality, and organizational effectiveness Strong understanding of modern software development practices, Agile delivery, and system design Ability to communicate effectively and clearly Experience collaborating with Product, Architecture, and cross-functional stakeholders Strong leadership, communication, and people management skills Experience mentoring engineering talent Ability to make pragmatic decisions and operate effectively in fast-paced environments Experience with AI-powered products or AI-assisted engineering workflows is a plus Upper-Intermediate or higher English level What you should expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Основные направления: — Продуктизация ML-моделей и пайплайнов — Интеграция моделей в backend и бизнес-контуры — Разработка API и сервисов для ML — Работа со стримингом данных (Kafka) — Участие в RnD и пилотировании новых ML-решений Обязанности: — Продуктизация и внедрение ML-моделей в production — Рефакторинг кода от DS-команд под production-стандарты — Разработка backend-сервисов и REST API для ML-решений — Интеграция сервисов через Kafka и микросервисную архитектуру — Участие в построении и развитии ML-пайплайнов — Взаимодействие с DS, MLOps и аналитиками — Участие в архитектурных решениях и RnD-задачах Требования: — Опыт разработки на Python от 3–4 лет — Обязательно высшее образование (законченное) — Опыт работы с ML-проектами (CV, NLP, RAG) — Опыт разработки REST API (FastAPI / Flask) — Опыт работы с Kafka — Понимание микросервисной архитектуры и сетевого взаимодействия — Базовое понимание Kubernetes — Опыт работы с SQL на среднем уровне — Умение работать с кодом Data Science и адаптировать его под production Будет плюсом: — Опыт работы с Airflow — Опыт работы с Hadoop / Spark Условия: -ДМС со стоматологией -Компенсация фитнеса -Скидки на курсы английского (Skyeng) и в кино -Индексация зарплаты -Современная техника для работы -IT-аккредитация

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is building next-generation data center infrastructure across the United States to support high-density, GPU-driven workloads. As a Mechanical Design Engineer, you will support the design, review, and technical development of mechanical systems for data centers across the US portfolio. This role is ideal for a mechanical engineer who can take broad ownership across data center mechanical design, evaluate technical options, and work closely with electrical, construction, commissioning, and operations teams. The right candidate can operate independently, review third-party designs, and help Nebius build scalable, maintainable, high-density data center environments. Location: Remote, US Responsibilities Review mechanical design packages for data center projects, including internal concepts and third-party partner designs. Support mechanical design development for high-density data center environments. Evaluate mechanical design options for air-cooled and liquid-cooled data center architectures. Coordinate closely with electrical design, construction, commissioning, and operations stakeholders. Review designs for maintainability, operational resilience, capacity, and alignment with Nebius standards. Help assess technical tradeoffs, alternative solutions, product options, and design risks. Support design reviews tied to power density, airflow, cooling capacity, and operational readiness. Requirements Data center mechanical design experience. Strong understanding of mechanical systems in mission-critical or data center environments. Experience with air-cooled data center design. Ability to evaluate mechanical capacity, flows, and design assumptions. Ability to review design documents, technical proposals, and partner deliverables. Ability to read and interpret contracts, design requirements, and technical standards. Strong communication skills with internal stakeholders, external design partners, and construction teams. Broad engineering ownership mindset; able to manage the full mechanical design scope rather than only a narrow specialty. Nice to Have Experience with liquid-cooled data center technologies. Experience with hyperscale, neocloud, GPU, or AI infrastructure data centers. Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms. Familiarity with high-density rack environments, including 50kW to 200kW per rack. Experience supporting design reviews through commissioning or operational turnover. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $185,000 — $225,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Europe; Brussels; Munich; London; Edinburgh; Paris; Berlin; United Kingdom; France; Frankfurt; Germany Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Amsterdam, Netherlands; Remote - Europe; Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking a highly skilled ML/AI Engineer to join our team to lead and support benchmarking of GPU platforms benchmarking of GPU platforms for machine learning and AI workloads. You will play a critical role in evaluating the performance of GPU-based hardware for various deep learning and AI frameworks, enabling data-driven decisions for platform optimisation and next-generation hardware development. Your responsibilities will include: Work closely with hardware, development teams to profile and analyse GPU performance at the system and kernel level. Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g.,CUDA, ROCm). Debug and optimise ML workloads to run efficiently on GPU hardware, identifying and resolving performance bottlenecks. Perform acceptance testing acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads. Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimisations on performance and scalability. Develop tools and dashboards to visualise performance metrics visualise performance metrics, bottlenecks, and trends. Contribute to internal tooling, frameworks, and best practices We expect you to have: A profound understanding of theoretical foundations of machine learning Deep understanding of performance aspects of large neural networks training and inference (data/tensor/context/expert parallelism, offloading, custom kernels, hardware features, attention optimisations, dynamic batching etc.) Deep experience with modern deep learning frameworks (PyTorch, JAX, Megatron-LM, Tensort-LLM) Good understanding of the GPU stack: CUDA,NCCL, drivers, and relevant libraries Familiarity with containerized environments (e.g., Docker, Kubernetes). Strong communication and ability to work independently Ways to stand out from the crowd: Familiarity with modern LLM inference frameworks (vLLM, SGLang, TensorRT) Experience in Python and performance profiling tools (e.g., Nsight, nvprof, perf). Familiarity with cloud ML platforms like AWS, GCP, Azure ML Contributions to open-source ML benchmarking tools Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Brazil; United Kingdom; Pakistan; Philippines; South Africa About Huzzle At Huzzle, we connect high-performing 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 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 About the Company Our client is a fast-growing AI startup building intelligent AI employees that can call, text, email, and update CRMs automatically. Their platform helps businesses across North America automate sales follow-up, lead engagement, and customer communication at scale while maintaining a natural, human-like experience. This is a lean, high-performance startup environment where team members work closely with leadership, take ownership, and directly influence product growth and client success. Job Summary We’re looking for an Automation Engineer who thrives at the intersection of AI, workflow automation, prompt engineering, and client problem-solving. In this role, you won’t just build automations, you’ll design and optimize AI-driven systems that directly impact revenue for real businesses. You’ll work closely with the founder to create AI agents capable of handling calls, texts, emails, and CRM updates while ensuring conversations feel natural and high-converting. This is an ideal opportunity for someone who enjoys building systems, solving technical problems, and working directly with clients in a fast-moving startup environment. Key Responsibilities Build and deploy AI-powered agents that call, text, and email leads on behalf of clients Create and optimize workflow automations using platforms such as n8n, Make, or similar tools Integrate AI systems with CRMs like HubSpot, Zoho, Salesforce, and GoHighLevel using APIs and webhooks Design prompts and conversational flows that make AI interactions feel human and sales-focused Troubleshoot automation issues, debug workflows, and improve system performance Handle client onboarding and support requests directly Collaborate closely with the founder on new automation strategies and feature improvements Analyze workflow performance and continuously optimize AI behavior and conversion rates Maintain documentation for automations, integrations, and client implementations Requirements Hands-on experience with workflow automation tools such as n8n, Make, Zapier, or similar platforms Strong understanding of APIs, webhooks, JSON, and third-party integrations Experience reading technical API documentation and troubleshooting integration issues Familiarity with CRM systems including HubSpot, Salesforce, Zoho, or GoHighLevel Experience with prompt engineering for conversational AI or sales-focused AI workflows Understanding of outbound sales workflows, SMS campaigns, follow-up automation, and lead nurturing Excellent problem-solving and debugging skills Comfortable working directly with clients in a fast-paced startup environment Strong communication skills in English Ability to manage multiple projects and adapt quickly to changing priorities Experience building AI voice agents or AI employees Experience with OpenAI APIs, conversational AI platforms, or LLM workflows Knowledge of sales psychology and high-converting sales scripts Previous startup experience Basic scripting or coding experience (JavaScript, Python, etc.) 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; Remote; Toronto; New York; Montreal Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently. You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company. EXAMPLE INITIATIVES You'll work on projects like these as part of the SRE team: - Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services. - Building AI-assisted tooling for incident triage and response. RESPONSIBILITIES - Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking. - Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code. - Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution. - Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations. - Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management. - Define and instrument SLOs and SLIs across customer workloads and internal services. - Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define. REQUIREMENTS - Extensive hands-on experience with Kubernetes (multi-cloud experience across EKS, GKE, or similar is a strong plus). - Experience in building and maintaining scalable infrastructure. - Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. Observability-as-code experience is a plus. - Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD). - Experience writing and improving runbooks, leading incident response, and doing post-mortem analysis. - Comfort working at the intersection of engineering and operations — you write code, but you also think deeply about process, escalation paths, and operational leverage. - Familiarity with incident management platforms (incident.io http://incident.io or similar) is a plus. - No prior ML experience required, but curiosity about how ML models are deployed and served at scale will serve you well. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Bratislava, Slovakia; Banská Bystrica, Slovakia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking Senior Engineering Manager to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Your Impact: Lead multiple squads working with our talented team of Engineering Managers, coaching them to raise the bar on delivery, communication, and technical decision-making. Set and steer technical strategy across the product area and keep roadmaps on track. Align across the Gaming pillar partnering with engineering leaders to ensure our teams work efficiently and drive consistent standards. Drive clarity through data to support prioritisation and planning. Partner with Product and commercial stakeholders to iterate and deliver measurable improvements in customer value and business performance. What You'll Bring: Proven experience as a Senior Engineering Manager / Head of Engineering / Group EM (or equivalent) Strong architecture and systems judgement, able to challenge proposals, weigh trade-offs, and guide multi-team technical direction without being hands-on day-to-day. Experience running multiple teams working on different priorities, maintaining momentum and alignment. Deep understanding of product development lifecycle in a product-led environment. Nice-to-haves: Experience in Gaming or consumer products. Familiarity with modern web stacks (our Gaming stack includes Node and React) and cloud platforms. Why us? 1.Super smart colleagues to work alongside and learn from, with company-wide team-building events twice a year, including great entertainment, catering, and accommodation in a beautiful hotel. 2.Engaging development opportunities at all levels. 3.Tailored flexibility for your work-life balance. 4.Exciting global events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead! 5.Unlock your full potential by joining the team. To support you on this journey, we provide an extensive array of benefits and perks, as outlined in our global offerings above. For country specific benefits please reach out to your talent partner.

Location: North Macedonia; Georgia; Serbia; Croatia; Slovenia; Bosnia and Herzegovina About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary As an AI Engineer, you will be responsible for developing and optimizing AI systems, integrating machine learning models into production environments, and building scalable AI-driven applications. You will contribute to everything from model experimentation to deployment and performance optimization. Key Responsibilities Design, build, and deploy AI and machine learning solutions for real-world business applications. Develop and maintain applications using Large Language Models (LLMs) such as GPT-based systems. Build AI-powered automations, copilots, chatbots, and workflow systems. Fine-tune, evaluate, and optimize machine learning models for performance and scalability. Integrate AI systems with APIs, databases, CRMs, and third-party platforms. Collaborate with product and engineering teams to translate business requirements into AI-driven solutions. Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. Monitor model performance, reliability, and cost efficiency in production environments. Maintain documentation, testing procedures, and deployment workflows. Stay updated on the latest AI trends, frameworks, and emerging technologies. Requirements 3+ years of experience in AI Engineering, Machine Learning, or Software Engineering. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face. Experience working with LLMs, OpenAI APIs, Anthropic, Gemini, or similar AI platforms. Familiarity with vector databases, embeddings, and RAG architectures. Experience deploying AI applications using cloud platforms such as AWS, GCP, or Azure. Strong understanding of APIs, backend systems, and scalable application architecture. Experience with Docker, Git, CI/CD pipelines, and modern development practices. Excellent problem-solving and analytical thinking skills. Strong communication skills with the ability to work in remote, cross-functional teams. Bonus: Experience building AI agents, automation systems, or voice AI applications. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: South Africa; Pakistan; Philippines; United States; United Kingdom; Canada About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You’ll work closely with product, engineering, and data teams to create intelligent systems that improve automation, customer engagement, and operational efficiency. This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and production-grade AI systems. Key Responsibilities Design, develop, and deploy AI and machine learning models for real-world applications. Build and optimize AI-powered tools using technologies such as OpenAI, Claude, Gemini, or open-source LLMs. Develop scalable APIs and backend services for AI applications. Fine-tune machine learning models and improve model performance. Work with structured and unstructured datasets for training and inference. Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines. Integrate AI solutions into web platforms, CRMs, and business systems. Monitor AI model performance, reliability, and scalability in production. Collaborate with cross-functional teams to define AI product requirements and technical roadmaps. Stay updated on emerging AI technologies, frameworks, and best practices. Requirements 3+ years of experience in AI engineering, machine learning, or software engineering. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face. Experience working with LLMs, generative AI tools, and prompt engineering. Familiarity with vector databases, embeddings, and RAG architectures. Knowledge of cloud platforms such as AWS, GCP, or Azure. Experience building REST APIs and scalable backend systems. Understanding of MLOps, model deployment, and monitoring workflows. Strong problem-solving and analytical thinking skills. Excellent communication and collaboration abilities. Experience working in remote or distributed teams is a plus. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Mexico; Colombia; Brazil; Chile; Argentina; Costa Rica About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a highly skilled AI Engineer to design, develop, and deploy scalable AI and machine learning solutions. You’ll work closely with product, engineering, and leadership teams to build intelligent systems that power automation, analytics, conversational AI, and predictive capabilities. This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and solving real-world business challenges with cutting-edge technology. Key Responsibilities Design, develop, and deploy AI/ML models for production environments. Build and optimize AI-powered applications using large language models (LLMs) and generative AI tools. Develop intelligent automation workflows, chatbots, recommendation systems, and predictive analytics solutions. Fine-tune, evaluate, and improve machine learning models for performance and scalability. Collaborate with software engineers and product teams to integrate AI features into existing platforms. Work with structured and unstructured datasets for training and inference pipelines. Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. Monitor AI systems, troubleshoot issues, and continuously improve model accuracy and efficiency. Stay updated with the latest advancements in AI, machine learning, and automation technologies. Maintain documentation for AI models, systems, and workflows. Requirements 3+ years of experience in AI engineering, machine learning, or related software engineering roles. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or LangChain. Hands-on experience working with OpenAI APIs, LLMs, generative AI, or NLP systems. Experience deploying machine learning models into production environments. Familiarity with vector databases, embeddings, and RAG architectures. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Knowledge of Docker, Kubernetes, APIs, and CI/CD pipelines is a plus. Strong understanding of data structures, algorithms, and software engineering best practices. Excellent problem-solving and analytical skills. Strong communication skills and ability to work in a remote, collaborative environment. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Al Jubail, Saudi Arabia; Jamnagar, India; Lusail, Qatar; Dubai, United Arab Emirates Eram Talent is actively seeking an experienced Cost Engineer to handle Project Management activities for the Upstream Unconventional Resources. We seek an experienced Cost Engineer to provide a complete cost engineering service to the team, demonstrating expertise in large, complex projects with a global reach. The ideal candidate will have prior experience in upstream oil and gas, midstream, LNG, refining and petrochemicals industries. Responsibilities Provides all cost engineering expertise and coordinates activities as group/unit leader as required. Responsible for preparation of cost portion of the engineering, procurement and construction contracts. Collects, monitors, analyzes and reports all cost information through the Project Manager. Reviews and analyzes all claims and Change Orders on project contracts. Participates in the negotiation of project contracts as required. Initiates appropriate action when total forecast indicates allocated funds will be exceeded. Collects, monitors, analyzes and reports all cost information through the Project Manager and prepares the necessary reports to monitor cost utilization for the management, as required. Provides assistance to other Project support team on cost reviews, as necessary. Candidate shall have strong technical writing skills and willing to mentor and motivate young Saudi Engineer and Train future work colleagues in their roles and duties in the business. Be proactive and promote a culture of continuous business process improvements. Keeps abreast of significant developments in cost engineering by close review of technical literature, contacts with contractors, visits to areas of construction, and attendance at professional technical meetings. Participates in the negotiation of project contracts as required and reviews the cost portion of the engineering, procurement and construction contracts Requirements A Bachelor's Degree in Engineering, Construction Management, Economics, Business Administration, MIS, Accounting, or closely related field. Minimum of twelve (12) years’ experience in cost engineering including at least five years devoted to petrochemical, refinery, pipeline, or power generation projects. Familiar with construction practices, materials, equipment. Strong interpersonal skills, creative solution and problem solving skills and utilizes computer programs. Candidate shall have strong technical writing skills and willing to mentor and motivate young Saudi Engineer. Knowledge of international standard specification and familiar with Aramco standard especially in Civil, Mechanical and Piping discipline.

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. We're hiring a mechanical / CAD engineer to lead the mechanical design of our wearable capture hardware. Hands-on work where physics, optics, manufacturing, and human factors all converge. What you'll work on Mechanical architecture - Chassis design across consumer-grade and production-grade materials - Packaging, weight distribution, and human fit - Serviceability and assembly architecture Optical mount and alignment - Camera and lens mounting systems for multi-camera arrays - Tolerance stack-up against calibration accuracy targets - Kinematic alignment systems and bonded inserts Power and battery packaging - Battery enclosures including swap mechanisms - Connector layout and cable routing - Drop and impact resistance Thermal management - Passive thermal dissipation in tight wearable form factors - Heat spreader integration with chassis materials - Touch-temperature constraints against the user DFM and manufacturing handoff - Design for CNC, injection molding, sheet metal, and composite layup - Production drawings, GD&T, fixture design - Tolerance verification and first-article inspection Required technical experience - Hands-on mechanical CAD: SolidWorks, NX, Creo, or Fusion 360 - Shipped consumer or wearable hardware to real users - DFM fluency across CNC, injection molding, and sheet metal - Tolerance stack-up and GD&T for precision optical systems - Structural and thermal FEA Strong plus - Head-worn or body-worn product background (AR/VR, action cameras, sports tech, smart eyewear) - Composite chassis design (carbon fiber, cyanate ester matrix) - Multi-camera optical alignment - Direct work with Asian ODMs and tooling shops - Background in research-grade capture systems or medical wearables About this role You own mechanical design end-to-end. The product surface is broad, the pace is fast, and your work ends up on real users within months. Compensation reflects the stage. The autonomy reflects it too.

Location: San Francisco ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. THE OPPORTUNITY As a Research Engineer, you’ll work on multimodal sensing systems and sensor fusion research for embodied AI and robotics. This role sits at the intersection of robotics, perception, hardware systems, and machine learning, where your work directly shapes how multimodal data is collected, synchronized, fused, and used for downstream VLA training. You’ll research emerging sensing technologies across RGB-D video, motion capture, IMUs, tactile sensing, audio, and wearable systems, and study how different sensor combinations impact robot learning, policy performance, and generalization. You’ll work closely with hardware, ML, and research teams to design experiments, evaluate new sensing stacks, and help define the next generation of multimodal robotics datasets. Your work will help shape how frontier labs and leading robotics companies train their models, transforming physical labor markets and economies while contributing to broader research into human embodied intelligence. WHAT YOU’LL DO - Evaluate how different sensor modalities impact VLA training and downstream robotics performance - Work across RGB-D video, IMUs, motion capture, tactile sensing, audio, and wearable systems data - Design experiments around synchronization, calibration, fusion, and multimodal alignment - Prototype quickly and iterate from real-world robotics deployments and research feedback - Collaborate closely with hardware, ML, and research teams on next-generation sensing systems WHAT WE’RE LOOKING FOR - Master’s or PhD in robotics, computer vision, sensing systems, or related fields - Published research in sensor fusion, perception systems, multimodal datasets, or embodied AI - Strong technical intuition around hardware systems and robot learning - Experience with RGB-D video, IMUs, motion capture, tactile sensing, or robotics systems - Experience with reinforcement learning, real-world robot deployments, and how data impacts downstream policy performance - Highly curious, execution-oriented, and comfortable operating from first principles