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Location: Москва Наша команда (70+ человек) создает технологический фундамент для внедрения GenAI в экосистему банка. Мы разрабатываем RAG-платформу, фреймворк исполнения агентов и системы обработки неструктурированного контента (документы, коммуникации). Наши сервисы оборачивают базовые LLM в готовые интерфейсы, позволяя бизнесу быстро создавать собственных агентов и GenAI-приложения. Мы обеспечиваем полный цикл разработки (E2E): ML-инженеры и бэкенд-разработчики работают вместе над реализацией сервисов, в связке с фронтендом и дизайнерами. У нас есть собственная команда разметки для оценки качества и сбора датасетов, с помощью которых мы дообучаем доменные модели под банковские сценарии. Масштаб задач: Сейчас в портфеле более 200 реализованных сценариев. В планах — реализация еще 300+ сценариев, включая создание слоя процедурной памяти для агентов, специализированных поисковых агентов и систем автоматической оценки качества GenAI (Auto-Eval). Развитие Self-Service инструментов (песочниц с UI), где команды банка могут тестировать гипотезы перед интеграцией. Чем предстоит заниматься Мы ищем инженеров, которым интересно не только R&D, но и создание полноценных продуктовых систем, способных обучаться на пользовательском фидбэке и решать конкретные бизнес-задачи. Обязанности * развитие GenAI сервисов: Создание и улучшение RAG-систем (в т.ч. Agentic RAG), инструментов Agent Observability, сервисов обработки документов * обучение моделей: тренировка и дообучение мультимодальных моделей на русском языке (OCR, Embeddings, Rerankers, VLM) * MLOps и Data Management: организация и автоматизация процесса разметки данных (от сбора до контроля качества краудсорсинга) * развитие автономных пайплайнов улучшения качества моделей с использованием LLM-as-a-Judge * Engineering: релиз новых моделей и сервисов в продуктовые среды. Требования * глубокое понимание LLM: опыт работы с большими языковыми моделями, Prompt Engineering, Fine-tuning LLM/VLM * инженерная культура: уверенное владение Python 3, знание ООП, принципов SOLID. Хорошее знание алгоритмов и структур данных. * LLM Stack: опыт работы с LangChain, LlamaIndex или другими фреймворками для разработки агентов и мультиагентных систем (MAS) * Vibe Coding: умение автоматизировать собственные рутинные процессы с помощью AI-инструментов * Mindset: желание постоянно изучать новые SOTA-подходы, модели и технологии * опыт руководства командой ML-инженеров. **Будет плюсом** * активный профиль на GitHub с качественным кодом * достижения (медали) на Kaggle * участие в Open-Source проектах, связанных с LLM/NLP. Условия * комфортный современный офис - м. Кутузовская * гибридный формат работы * ежегодный пересмотр зарплаты, годовой бонус * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

Опыт промышленной разработки на Python на уровне Senior, ООП, алгоритмы и структуры данных. Опыт в Operations Research, APS, логистике или Supply Chain.

Responsibilities: — Obtain all necessary technical information and project details based on discussions between the sales team and customers. — If the information received is insufficient, conduct site surveys together with the Marketing and Training Specialist and discuss project requirements directly with the customer. — Determine the most suitable scaffolding system to meet the customer’s technical and operational requirements. — Develop project-specific scaffolding solutions and perform all necessary structural calculations and checks. — Prepare detailed technical drawings in accordance with the applicable standards after completing and verifying the structural design. — Prepare accurate material lists and quantity take-offs for each project. — Submit completed technical drawings and material lists to the relevant sales representative within the required timeframe. — Prepare the technical specifications and cost calculations for projects and ensure that quotations are submitted to customers on time. — Provide technical training to customers and partner companies.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for an Engineering Manager to lead the Realtime team at Supabase. Realtime lets developers send low-latency messages between clients, track and synchronize user state, and listen to database changes. Those three features are Broadcast, Presence and Postgres Changes. Broadcast also sends from the database and over HTTP, and clients can replay recent messages. Realtime is a globally distributed Elixir cluster built on Phoenix. The team balances low latency, fair limits between projects, and the cost of running the service. Customers expect connections to stay up, so reliability matters as much as new features. The Engineering Manager is a people, delivery and technical role. We don't expect you to write production code, but you you will lead a team of experienced engineers. We do expect you to join design discussions and help set the bar for engineering quality, testing and operations. WHAT YOU’LL BE RESPONSIBLE FOR Team & People - Build a healthy, high-trust team culture in a remote-first, globally distributed environment. - Run 1:1s, performance management, career development, and onboarding for your direct reports. - Handle people admin (leave, time off, etc.) for your team. Hiring - Own the hiring plan for your team and act as Hiring Manager. First round of interviewer for all roles on the team. - Partner with Talent Acquisition to source, interview, and close strong candidates. - Contribute to headcount planning, org design, and the evolution of engineering leadership at Supabase. Delivery & Roadmap - Own the team's roadmap and project management (Linear), driving accountability and clear milestones. - Manage workflow intake and Slack triage. These are the team’s primary inboxes for cross-team requests. You decide what gets routed where, prioritized, or pushed back on. - Own the team's weekly updates and keep stakeholders aligned without creating overhead. - Organize effort against support tickets and maintain the team's SLO. - Surface risks, dependencies, and tradeoffs early and clearly to leadership. Incident Commander - Train as an Incident Commander. Drive coordination, resolution, and post-incident follow-up. - Lead blameless post-incident reviews YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years of engineering background, with enough depth to be credible with engineers building complex systems. - Have 3+ years managing remote engineering teams. - Have managed a team that built and ran a low-latency, high-connection service. Examples are WebSockets, pub/sub, messaging, presence or streaming systems. - Have strong technical credibility in distributed systems. We look for clustering, rate limiting, backpressure and capacity planning. - Have led a team through production incidents on a customer-facing service. You ran the follow-up work and kept the review blameless. - Understand what developers need from a real-time API or SDK, and have shipped one to customers outside your company. - Have experience with Elixir, Erlang or BEAM (not required but a plus). - Have experience with Postgres logical replication and Row Level Security (not required but a plus). - Have managed remote, globally distributed teams that work asynchronously across disparate time zones. - Are technical enough to be credible with strong engineers, but genuinely passionate about people management. This is the work you want to do, not a track you're settling for. - Build psychological safety and a feedback culture. You give feedback often and in the moment, ask for it back, and create space for the team to do the same. - Operate as a multiplier. You help individuals achieve more than they could alone, and you don't need to be the best technical voice in the room. - Coach rather than direct. You remove blockers, connect people to context, and trust your engineers to own how the work gets done. - Have a real track record of performance management and can speak to specific examples of difficult conversations. - Are comfortable with ambiguity and can build structure where there isn't much. - Communicate clearly and write well. You default to async and written, set context early, and surface risks early. - Are collaborative, low-ego and adaptable. You thrive with high-autonomy senior engineers who don't need you to be the smartest person in the room. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for an Engineering Manager to lead the Pipelines team at Supabase. Supabase Pipelines is a managed change data capture product. It copies the tables you select from Supabase Postgres to other systems, then streams later changes. The product is in public alpha, with BigQuery, ClickHouse, DuckLake and Snowflake destinations. Pipelines uses Postgres logical replication and Supabase ETL, our open source replication engine written in Rust. The team works close to the database. That means replication slots, WAL retention, initial table syncs, and the load they place on a customer's source database. The team also builds and runs the destination connectors. Correctness, ordering and recovery matter there as much as speed. The Engineering Manager is a people, delivery and technical role. We don't expect you to write production code. We do expect you to join design discussions and help set the bar for engineering quality, testing and operations. WHAT YOU’LL BE RESPONSIBLE FOR Team & People - Build a healthy, high-trust team culture in a remote-first, globally distributed environment. - Run 1:1s, performance management, career development, and onboarding for your direct reports. - Handle people admin (leave, time off, etc.) for your team. Hiring - Own the hiring plan for your team and act as Hiring Manager. First round of interviewer for all roles on the team. - Partner with Talent Acquisition to source, interview, and close strong candidates. - Contribute to headcount planning, org design, and the evolution of engineering leadership at Supabase. Delivery & Roadmap - Own the team's roadmap and project management (Linear), driving accountability and clear milestones. - Manage workflow intake and Slack triage. These are the team’s primary inboxes for cross-team requests. You decide what gets routed where, prioritized, or pushed back on. - Own the team's weekly updates and keep stakeholders aligned without creating overhead. - Organize effort against support tickets and maintain the team's SLO. - Surface risks, dependencies, and tradeoffs early and clearly to leadership. Incident Commander - Train as an Incident Commander. Drive coordination, resolution, and post-incident follow-up. - Lead blameless post-incident reviews YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years of engineering background, with enough depth to be credible with engineers building complex systems. - Have 3+ years managing remote engineering teams. - Have managed a team that built and ran data pipelines, change data capture, replication or streaming systems. - Have strong technical credibility in data systems. We look for delivery guarantees, ordering, idempotency, schema changes and backfills. - Know Postgres replication well, including logical replication, the WAL and replication slots, and how they affect a production database. - Know analytical destinations such as BigQuery, Snowflake, ClickHouse or lakehouse table formats like Iceberg. - Have led a team through production incidents on a system that holds customer data. You ran the follow-up work and kept the review blameless. - Have shipped a developer-facing data product to customers outside your company. - Have experience with Rust (not required but a plus) - Have managed remote, globally distributed teams that work asynchronously across disparate time zones. - Are technical enough to be credible with strong engineers, but genuinely passionate about people management. This is the work you want to do, not a track you're settling for. - Build psychological safety and a feedback culture. You give feedback often and in the moment, ask for it back, and create space for the team to do the same. - Operate as a multiplier. You help individuals achieve more than they could alone, and you don't need to be the best technical voice in the room. - Coach rather than direct. You remove blockers, connect people to context, and trust your engineers to own how the work gets done. - Have a real track record of performance management and can speak to specific examples of difficult conversations. - Are comfortable with ambiguity and can build structure where there isn't much. - Communicate clearly and write well. You default to async and written, set context early, and surface risks early. - Are collaborative, low-ego and adaptable. You thrive with high-autonomy senior engineers who don't need you to be the smartest person in the room. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Lunar is looking for a Senior Regulatory Data Engineer to build governed data models, calculation logic, and validation workflows for regulatory reporting.

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our product engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. Agents at Harvey let lawyers turn their expertise into reusable, automated work: custom agents and workflows that draft, review and analyze across a firm’s documents. The Agents team owns Agent Builder, the Agents experience, workflows and the foundations underneath them: orchestration, durable execution, permissions and reliability. Other Harvey products build on this platform as well. As Engineering Manager, you’ll lead a large, senior team of full-stack and backend engineers through the shift from single-turn assistants to long-running, multi-agent systems that firms trust with their most sensitive work. This role is equal parts product judgment and systems depth. We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you. WHY NOW - Agents are how firms put Harvey to work: lawyers are turning their expertise into reusable agents and workflows that run across their documents and matters. - The work is moving from single-turn assistance to long-running, scheduled and multi-agent work. That demands durable execution, sandboxed tools and recovery from failure at scale. - Agents now reach deep into a firm’s most sensitive data, so permissions, tenant isolation and governance have to hold everywhere an agent can act. - Other Harvey products are building on this platform, so its quality and speed set the pace for much of the company. - We need a leader who can raise the bar on reliability and evaluation while the team keeps shipping quickly. WHAT YOU’LL DO - Lead the Agents engineering team, a group of senior full-stack and backend engineers building Agent Builder, the Agents experience, workflows and the runtime underneath them. - Own reliability and quality for agent and workflow execution, including on-call health, incident follow-through, SLOs and evals as part of how the team ships. - Set technical direction for orchestration, durable execution and agent composition, and stay close enough to the code to make sound architecture calls and unblock hard problems. - Hold a high bar on security and customer data boundaries, so permissions, isolation and admin controls are designed in from the start rather than patched later. - Partner with Product, Design and Data Science on what agents should do for lawyers. Work with Agent Platform, Infrastructure and Security on the shared foundations. - Shape how the team builds with AI coding agents: review practices, verification and test infrastructure that keep quality high as output grows. - Hire, develop and retain strong engineers, grow tech leads, and build a team culture of ownership and candor. WHAT YOU HAVE - You have 3+ years managing engineering teams, including teams of 10 or more, and 5+ years as a backend or full-stack engineer before that. - You’ve shipped LLM-powered or agentic products in production and understand orchestration, tool use, evals, and latency and cost trade-offs from experience. - You’ve operated multi-tenant systems with strict security, permission or compliance requirements, and you treat a permissions bug as a trust issue. - You’re comfortable going deep on distributed systems: workflow engines such as Temporal, queues, sandboxing and long-running jobs. - You have strong product judgment and can weigh speed, quality and user impact in a domain where accuracy matters. - You lead by raising the bar on quality without slowing the team down. You know when to step in and when to let your tech leads lead. - Nice to have: experience with builder, low-code or automation tools for non-engineers, or with legal or other professional-services workflows. COMPENSATION RANGE $260,000 - $330,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].   #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States About us Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. The Role Location: United States · Remote Working hours: U.S. Central Time (CT) business hours, starting at 8 or 9 a.m. CT, with after-hours support for critical incidents as needed. We are hiring a Senior IT Engineer to strengthen our corporate IT systems and security. You will work directly with the Head of IT, share daily operations with our EU-based Systems Administrator, and take primary ownership of security operations and technical security controls across the organization. In this small IT team, your ideas and technical judgment will help shape how we work. You will turn recurring problems into lasting improvements, build automation that the team relies on, and work with peers to share knowledge and learn from one another. You will own implementation, with the Head of IT providing direction and retaining program governance, policy approval, risk acceptance, and major incident oversight. What you’ll do Manage Microsoft 365, Entra ID, Intune, and business applications, providing U.S. hours support and coordinating handoffs with our EU-based Systems Administrator. Resolve device compliance issues, restore employee access, and strengthen identity and endpoint security through hardening, access controls, and vulnerability remediation. Own infrastructure and security projects, turning recurring problems into lasting improvements. Build reliable automation and API integrations using Git and approved AI tools, with testing and independent validation. Triage security alerts, investigate and document incidents, and coordinate response and recovery with the Head of IT. Assess new and existing vendors and technology changes, review access requirements, and recommend safeguards for the Head of IT’s approval. Implement practical compliance controls, maintain audit evidence in Vanta, and resolve failed checks and technical findings. Maintain incident playbooks, test recovery procedures, and share knowledge across the IT team. What we’re looking for 5+ years in systems administration, IT engineering, infrastructure, or a related role, with demonstrated ownership of complex technical work. Strong hands-on experience with Microsoft 365, Entra ID, Intune, and Windows endpoints, supported by sound networking, DNS, and VPN fundamentals. Experience in a security operations center, either in-house or with a managed security provider. Experience building and maintaining IT automation with tools such as PowerShell, Python, or Ansible, including API integrations. Experience using Git, branching, and pull requests to maintain scripts and automation. Hands-on security operations experience, including alert triage, incident investigation, and response, using Microsoft Defender or comparable tools. Experience implementing security controls and supporting audits or evidence collection, with working knowledge of ISO 27001, SOC 2, or a comparable framework. Strong analytical and critical-thinking skills: gather evidence, test assumptions, identify root causes, weigh security and operational trade-offs, and verify results. Ability to balance employee support, incidents, and projects; communicate clearly; document decisions; and recognize when to escalate or seek approval. Nice to have Infrastructure as code experience with Terraform. Experience with Vanta (or other GRC platforms), Microsoft Purview, and Datadog or Arctic Wolf (or SIEM tools.) AWS experience, particularly with VPN or backup services. Familiarity with GovRAMP or FedRAMP (NIST SP 800-53), CIS Benchmarks, and technical data protection requirements. Benefits Fully remote work with flexibility to support your work-life balance. A collaborative environment that empowers you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for career advancement. Friendly, professional colleagues who are eager to support you and help you grow. Engaging challenges and opportunities to make a meaningful impact.

Location: Dubai, United Arab Emirates We are looking for a highly experienced and technically strong Electrical Engineer to join our construction team. The ideal candidate must have substantial experience in the UAE construction industry, with strong expertise in electrical systems, site execution, project coordination, and supervision. We are looking for someone with the technical knowledge and practical experience to independently manage electrical engineering activities and take ownership of project execution. Key Responsibilities Oversee and manage electrical engineering activities across construction projects. Supervise electrical installation works, ensuring compliance with approved drawings, specifications, and project requirements. Review and interpret electrical drawings, technical specifications, BOQs, and related documentation. Coordinate with civil, mechanical, MEP, and other project teams to ensure smooth project execution. Monitor site progress and ensure electrical works are completed within project timelines. Conduct site inspections to ensure quality, safety, and compliance with UAE regulations and standards. Identify and resolve technical issues related to electrical systems and installations. Coordinate with consultants, contractors, subcontractors, suppliers, and relevant authorities. Review technical submittals, material approvals, and method statements. Monitor testing, commissioning, and project handover activities. Ensure all electrical works comply with project specifications, quality standards, and health and safety requirements. Provide technical guidance and oversee site teams to ensure efficient execution of electrical works. Requirements Bachelor's degree in Electrical Engineering or a related field. Extensive experience in electrical engineering within the UAE construction industry is mandatory. Strong hands-on experience with electrical installation, site supervision, and project execution. Good knowledge of electrical systems, including power distribution, lighting, low-current systems, and related installations. Ability to read and interpret electrical drawings, technical specifications, and BOQs. Strong understanding of UAE construction regulations, authority requirements, and industry standards. Proven experience coordinating with consultants, contractors, subcontractors, and project teams. Strong technical problem-solving, leadership, and communication skills. Proficiency in AutoCAD and MS Office; knowledge of other relevant engineering software is an advantage. Ability to independently manage responsibilities and handle multiple priorities within a construction project environment. Benefits Opportunity to work on construction and development projects. Professional growth and career development opportunities. Competitive compensation based on experience and qualifications.

Location: Mumbai, India We Are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. We are looking for a Project Engineer to support our Cranes & Lifting department across various regions. You will have a mechanical background and have experience in Project Coordination, Project Control, Delivery and Close Out. The Role and Responsibilities Overview: To deliver efficiently and on time specifically assigned projects to stakeholders as directed whilst maximising the potential for EnerMech. To control the assigned projects in terms of deliverables and budgets. Responsible for project engineering tasks, from initial kick-off to final account. Perform multi-discipline coordination of engineering and all other functions necessary for project delivery. Office-based duties will also include direct control of all operational and financial management activities to ensure effective project completion, project status reporting and project close-out documentation. Responsible for maintaining schedules for relevant project resources. Proactively identify and communicate risks to project schedules, deliverables and costs. Site-based duties will include being client representative with responsibility for all aspects of work scope implementation in accordance with client and company procedures. Main Responsibilities and Activities: Responsible for the delivery of work scopes, from initial enquiry to final account. Both working alone and contributing to multi-discipline project teams for the purpose of delivering our clients projects including management of and communication with 3rd party suppliers, sub-contractors and EnerMech service departments. Performing onshore and offshore site surveys as necessary to acquire input data. Performing and, where appropriate, leading site work scopes as EnerMech responsible project engineer. Responsible for the collation of project-related documents, such as but not limited to job tenders / costings, project plans, work schedules, work scope implementation methodologies, close-out and certification documentation. Accountable for the accurate completion of purchase requisitions. Responsible for progress chasing where required. Plan, provide for and deliver pre-job briefs and de-briefs for assigned activities. Responsible for ensuring materials, personnel and equipment are fit for purpose, available and dispatched in a timely manner for assigned activities. Responsible for the management, including tracking, control and progress reporting, of all costs associated with assigned activities or work scopes. Control of and issue of documentation to company and client standards. Responsible for drafting and issuing project change documentation capturing scope growth and/or variations. Identify and communicate risks to the project and manage them appropriately. You Are Recognised Qualifications and Experience: Essential: Higher National Diploma in a recognised and relevant engineering discipline or equivalent with a willingness to develop further education. Experience working within the Offshore/Oil and Gas/Energy industry. Preferred: Engineering degree or similar qualification with appropriate experience. Project management qualification. Behaviours and Personal Qualities: Essential: Understands and interprets relevant standards, performs most tasks and requires minimal supervision. Engages team support in making complex decisions (solving complex problems). Interprets procedures within context of the situation and recognises when consultation is required. Recognises and acts upon opportunities within own area of responsibility. Conducts self in a professional manner to minimise conflict. Preferred: Encourages the participation and contribution of other team members. Continually extends range and depth of own skills and knowledge. Questions and confirms understanding of how own work activities support and align with HSE targets and business goals. Looks outside the immediate working environment for ideas. Manages personal time and deals effectively with conflicting demands and priorities. Demonstrates a calm and systematic approach. Understands the role of the "team" and how to contribute to the overall success of the Business Unit. Understands the role of own department and its relationships within EnerMech. Shows sensitivity and good interpersonal understanding. Can see things from the other persons perspective. Offers advice and encouragement to others in support of the best results.

Location: Aberdeen, United Kingdom We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we have supported our clients across the world with unrivalled expertise, equipment, and technology throughout the entire asset lifecycle – both offshore and onshore. Operating through our global business lines of Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions, we provide a broad range of specialist services including cranes, lifting, fluid power, training, equipment rental, pipeline, process, subsea, and valve services. At EnerMech, we are driven by operational excellence, innovation, and technical expertise, delivering value through integrated solutions that reduce risk, improve efficiency, and enhance performance for our customers worldwide. Role Overview Establish, develop and lead the Europe & Africa engineering function across both our Energy Solutions and Infrastructure & Industrial Solutions implementing the global engineering operating model while maintaining responsive regional delivery. Provide dedicated transformation leadership and remain the long-term regional owner of capability, standards adoption, engineering governance implementation and workforce development. Translate globally defined standards, competency requirements and approval levels into consistent local practice. Lead the assigned regional engineering team and own its training, development and competency readiness. Coordinate capability across countries and service lines and with other regional engineering leaders to enable agile delivery and global workforce flexibility. Manage the regional technical authority process and access to appointed authorities. Responsibilities Implement the engineering transformation locally: establish the capability and workload baseline, assign process owners, clarify responsibilities and deploy approved procedures, review gates and readiness requirements. Maintain a regional engineering delivery and capacity plan with operations, project and commercial leaders; match work to verified competence, secure checking capacity and escalate resource conflicts. Embed engineering early in tendering, project planning, equipment preparation, mobilization and field handovers, supporting realistic technical commitments and effective delivery interfaces. Ensure preparation, independent checking and approval responsibilities are explicit and recorded. Route high-risk or specialist decisions to appointed Technical Authorities and escalate unresolved technical / schedule conflicts to the Global Engineering Director. Lead adoption of controlled documentation, shared templates, verified calculation methods and approved digital workflows; manage regional implementation of engineering process and tool improvements within the global strategy Implement the global competency framework and maintain regional team training and development plans aligned with competency gaps and delivery needs; coordinate structured training, mentoring and graduate rotations, develop multiskilling across relevant ES and IIS services and support succession planning. Coordinate regional recruitment and capability development with regional leadership and HR. Coordinate with other Regional Engineering Managers to share visibility of capacity, competencies and demand; agree cross-regional resource sharing, mobility and development opportunities to respond rapidly to changing priorities and provide global delivery flexibility. Align assignments with verified competence and regional commitments, promote common methods and reuse of technical lessons, and feed improvement proposals into the global framework. Monitor engineering quality, schedule adherence, readiness, rework, review turnaround and capability development; provide transparent regional delivery reports, risk escalation and corrective-action follow-up. Apply EnerMech and client quality, health, safety and environmental requirements; ensure competent technical risk assessment, management of change and closure of engineering assurance findings. Sustain regional ownership through routine governance, standards-adoption checks, training compliance and continuous improvement across onshore and offshore delivery. Experience Requirements Experience: normally 8–12+ years of relevant engineering experience, including at least 3 years in engineering leadership Qualifications: relevant engineering degree, including Mechanical, Civil, Electrical, Chemical or Ocean Engineering according to discipline, plus demonstrated application. Evidence: implementation of standards and review processes; coordination of engineering resources; structured training / mentoring; and delivery across operations and project interfaces. Competency: Advanced leadership, planning and governance, with sufficient technical breadth to direct multidisciplinary offshore and onshore mechanical work scope support and recognize specialist limits. Travel: travel across the Europe & Africa and collaboration with global teams as required. Anticipated Skills Advanced functional leadership: translate global direction into regional plans, clear ownership and sustained adoption. Engineering governance: understand technical assurance, codes, risk, change control and delegated approval boundaries without substituting management seniority for technical authorization. Change implementation: introduce common processes and digital tools while protecting capacity for current commitments. Workforce and development: plan capability and demand, structure mentoring and rotations, and maintain evidence-based competency and succession processes. Matrix collaboration: align global engineering and regional delivery stakeholders across countries, projects and service lines. Business and data literacy: interpret engineering delivery measures, scope, cost and commercial risk; explain constraints and make transparent recommendations.

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico Security Analytics Engineer Role Overview The Security Analytics Engineer designs, operates, and continuously improves the organization's security telemetry, analytics, detection engineering, and observability capabilities. The role provides the data and analytics foundation used by Security Operations while extending traditional SIEM capabilities through behavioral analytics, automation, AI-assisted correlation, and observability for autonomous and agentic systems. Key Responsibilities Design and operate scalable security analytics platforms and telemetry pipelines. Integrate, normalize, enrich, and correlate telemetry from endpoint, identity, cloud, application, infrastructure, network, and AI-enabled systems. Develop and tune behavioral detections, correlation logic, dashboards, and alerting strategies. Translate threat intelligence, incidents, vulnerability findings, and offensive-security results into improved detection content. Build observability for AI agents and autonomous workflows, including identity, tool usage, execution activity, and security-relevant behavior. Apply AI-assisted techniques to log analysis, correlation, anomaly detection, enrichment, and investigation support. Automate telemetry management and security workflows while maintaining appropriate human oversight and explainability. Optimize SIEM and related systems platform reliability, data quality, performance, retention, and cost. Qualifications Experience engineering SIEM, security analytics, detection, observability, or large-scale telemetry systems. Strong knowledge of logging, event correlation, normalization, enrichment, and security data pipelines. Experience developing detections, behavioral analytics, or correlation logic. Experience integrating security telemetry from diverse enterprise and cloud environments. Scripting or software-development experience and familiarity with APIs and Infrastructure-as-Code. Understanding of modern cloud and distributed architectures. Familiarity with security telemetry standards, MITRE ATT&CK, AI-assisted analytics, or observability of AI/agentic systems is preferred. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: United States How We Build Babylist is in the middle of a fundamental shift in how software gets made, and we are not tiptoeing into it. We are rebuilding our engineering culture around a simple belief: AI changes everything. How teams are structured, how decisions get made, how fast ideas become working software. Our engineers own problems end to end, working directly with product, design, and business partners with short feedback loops and real stakeholder access. We ship, learn, and iterate fast. When something is not working, we throw it out and start over — project failure and personal failure are not the same thing here. AI tools are as natural to our workflow as an IDE or version control. We are not exploring this, we are living it. Our engineers use AI to explore tradeoffs, pressure-test designs, and move from problem to solution in hours instead of days. They generate code with AI so they can stay focused on the decisions that actually require human judgment — not the routine ones. More velocity means more time for craft: better test coverage, stronger architecture, and deeper customer understanding. We hold ourselves to a higher quality bar because of AI, not in spite of it. We are building this playbook in real time, and we are looking for people who want to build it with us. If you have already changed how you work because of AI — or you are ready to — and you care more about shipping something great than following a prescribed process, we should talk. Our Tech Stack Ruby on Rails AWS Sidekiq MySQL Redis What the Role Is Babylist's Platform team is the foundation every engineering team builds on — and this role is at the center of keeping it reliable, fast, scalable, and secure. As a Staff SRE, you'll own the infrastructure and reliability practices that support 9 million+ users and the engineers who build for them. You'll bring strong software engineering skills and experience building security into production systems, turning that experience into code, automation, and secure defaults. You'll evolve our AWS infrastructure, CI systems, and developer tooling as Babylist grows across e-commerce, registry, health, media, and mobile. You'll share the team's core SRE responsibilities and bring particular depth in security engineering, leading security improvements alongside reliability, developer experience, and platform initiatives. Who You Are Strong software engineering skills — you've shipped and operated production-quality tools or services, with tests, code review, and maintainable interfaces Experience building security into production systems — you've personally designed, implemented, and operated controls for access, workload identity, secrets, or network isolation Deep hands-on Terraform expertise — you own IaC, not just contribute to it Proven AWS experience at scale — EKS, RDS, cloud networking, DNS, CDNs, load balancers — you know the gotchas Experienced operating Kubernetes in production — you've debugged the hard stuff, not just deployed the easy stuff Comfortable designing and improving CI/CD systems — CircleCI, GitHub Actions, or similar; you care about developer velocity, not just pipeline uptime Strong observability instincts — Datadog, Sentry, PagerDuty, Cronitor — you build alerting that's actionable, not noisy Experienced with on-call and incident management — you've run the post-mortems and actually changed things afterward Comfortable supporting developers across local, staging, and production — you're a resource, not a gatekeeper You naturally reach for AI in your work — at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. How You Will Make An Impact Infrastructure ownership — manage and evolve our AWS environment using Terraform, keeping EKS clusters, databases, and core services current, performant, and secure Software and automation — ship tested tools and services with runbooks and self-service workflows that other engineers can adopt and operate Secure infrastructure defaults — build versioned, tested Terraform modules for least-privilege access, secrets, and workload isolation, with automated checks for configuration drift CI/CD reliability — keep delivery fast and dependable across Engineering, integrating dependency and container scanning, secret detection, and short-lived deployment credentials Developer support — be the person engineers turn to when environments break; unblock them fast across local, staging, and production Monitoring & alerting standards — define service-level objectives (SLOs) and actionable alerting with engineering teams, using incident trends to prioritize reliability improvements Recovery readiness — validate backups, restore procedures, and failover paths through regular recovery tests Incident response — lead or support incident response, drive post-incident reviews, and close the loop so the same thing doesn't happen twice Platform strategy — shape our long-term infrastructure roadmap and lead cross-team initiatives from design through rollout, adoption, and ongoing operation, mentoring engineers along the way Why This Role Platform is the team every engineering team depends on — your work has outsized leverage across the entire product org, not just one area The infrastructure is solid and actively evolving — you'll shape how reliability and security are built into the platform as it grows This is a staff-level role with real cross-team visibility — you'll influence how Babylist engineers build and ship, not just keep the lights on You'll work on systems that support millions of families at a high-stakes life moment — the scale is real and the product context makes the reliability work matter About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $226,673 to $271,991 + target 20% annual bonus and competitive equity Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: Los Angeles, USA Machine Learning Engineers at Riot combine expertise in data processing, automation, machine learning, artificial intelligence, and experimentation to develop data-powered products that improve the player experience, protect competitive integrity, and ensure fair play. As a Machine Learning Engineering Intern , you’ll work with experienced engineers, data scientists, and game or product partners to explore how data and machine learning can support Riot’s games, from shaping engaging player experiences to safeguarding fair and competitive play. You’ll gain exposure to the full ML development cycle, including preparing datasets, engineering features, prototyping models, evaluating results, and communicating findings. You’ll be supported by your team as you learn to build reliable, well-documented solutions. Potential Responsibilities: Collaborate with machine learning engineers, data scientists, software engineers, and product partners on player- or developer-focused projects. Prepare, clean, and explore datasets for machine learning and data-powered applications. Implement feature engineering, modeling, and evaluation approaches under the guidance of experienced team members. Build prototypes, analyses, visualizations, or internal tools that help teams understand player experiences, product systems, or adversarial behavior. Apply testing, documentation, and reproducibility practices to code and experiments. Participate in code reviews, technical discussions, team rituals, and project planning. Communicate technical findings and tradeoffs to both technical and non-technical collaborators. Required Qualifications: Graduating in the 2028 calendar year with an MS or PhD. Currently enrolled in a Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or related quantitative degree program. Available to work full-time hours for the 12-week internship duration. Comfortable programming in Python. Understanding of machine learning fundamentals, statistics, and data structures and algorithms. Experience working with data using tools such as Python libraries, SQL, or notebooks. Minimum GPA of 2.5. Desired Qualifications: Experience building or evaluating machine learning models through coursework, research, internships, or personal projects. Familiarity with one or more machine learning frameworks or libraries, such as PyTorch, TensorFlow, scikit-learn, or Spark MLlib. Familiarity with SQL and relational databases. Experience with data visualization, experiment design, model evaluation, or statistical analysis. Familiarity with software development practices such as Git, unit testing, functional testing, or continuous integration and deployment. Experience working with cloud platforms, distributed data systems, or model deployment tools. Portfolio, website, GitHub, research publication, or other collection of original work. Experience working on a video game or related project, particularly in Unity or Unreal Engine. An interest in applying machine learning to either enhancing player experiences or to ensuring competitive integrity through cheat detection. Work Authorization Candidates must be legally authorized to work in the United States for the duration of the program. This position is not eligible for visa sponsorship. We do not sponsor visas for this position or internship conversions. For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We’ll consider your studies and experience, as well as your personal relationship with games. If you embody player empathy and care about players’ experiences, this could be the role for you! Applications close January 4th, 2027 Our Perks Riot Internships are paid, and interns can also participate in our 401(k) plan. You can expect in-game perks and the ability to participate in our Play Fund, so you can broaden and deepen your knowledge of our players and community through games. The University Recruiting team also invites you to intern-focused events so you can connect with your fellow interns and Rioters and make the most of your experience. Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner's Code and Community Code . Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming . It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. (Remote Only) The hourly rate for this internship is USD $80.77

This position will own the data pipelines, transformations, and reporting processes that support accurate, complete, and timely furnishing of customer account information to credit bureaus. Own recurring credit bureau furnishing operations, including data preparation, validation, submissions, bureau feedback, exception resolution, and reconciliation.

Location: Los Angeles, California, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Forward-Deployed AI Engineer — Enterprise AI Location: Los Angeles, CA Experience Level: 8+ years Compensation: $200,000–$250,000 base salary + equity Work Model: In-office, typically three to five days per week, depending on client requirements Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and in-office: Our work is client-first, which means in-person collaboration may be required either at the client site. Depending on your assignment and client needs, you should expect to work in person three to five days per week and be based in the Los Angeles Metro area or within a reasonable commuting distance. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. Don’t Meet Every Qualification Yet? If you don’t meet every qualification for this role, we encourage you to apply to our Forward-Deployed AI Engineer (In Training) opportunity. This role is designed for high-potential software engineers and full-stack developers who are building the production engineering, applied AI, and client-delivery skills required to become Forward-Deployed AI Engineers at Turing. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: New York ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Site Reliability Engineer (SRE) on the Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform. - Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence. - Drive continuous improvement in infrastructure automation, deployment, and orchestration. - Collaborate with software engineers to enable safe and reproducible model-training experiments. - Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in a DevOps or SRE role, ideally with expertise in bare metal infrastructure and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Intellias Meet your recruiter Olha Huk olha.huk@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering GenAI Engineer Senior Romania Hybrid APPLY NOW REFER A FRIEND Intellias helps retailers deliver consistent, omnichannel experiences through technology. Join us to develop scalable solutions that drive performance and customer value What project we have for you We are looking for a hands-on Senior AI Engineer to lead the technical design and delivery of enterprise AI agents and MCP-based integrations. The team will develop Model Context Protocol (MCP) services for local business applications and build AI agents that consume both these local MCPs and MCP services provided by a global platform team. The Senior AI Engineer will own solution design, support use-case discovery, provide technical leadership to the engineering team, and participate directly in implementation. What you will do Lead technical discovery and translate business use cases into AI/agentic solution designs. Design the architecture of AI agents and their interaction with local and global MCP services. Design and develop MCP services exposing capabilities of local applications to AI agents. Build enterprise AI agents and agentic workflows. Integrate agents with multiple MCP servers, APIs and enterprise systems. Define agent instructions, reasoning flows, tool-selection logic, approval workflows and human-in-the-loop guardrails. Define reusable patterns and engineering standards for MCP and agent development. Lead and support other AI engineers during implementation. Ensure compliance with enterprise security, architecture and AI governance requirements. Define and monitor agent quality and performance metrics, including task completion, tool failures, hallucinations, latency and cost. Collaborate with global AI/platform teams to ensure interoperability between local and global MCP capabilities. What you need for this Required skills Strong hands-on Python engineering experience. Experience building LLM-based applications, AI agents or agentic workflows . Strong knowledge of REST APIs and enterprise integrations. Strong Microsoft Azure experience. Experience with authentication/authorization such as OAuth 2.0 and Microsoft Entra ID. Understanding of tool/function calling and agent-to-system integration patterns. SQL, JSON, Git and CI/CD. Ability to design production-grade solutions and provide technical leadership. Strong English communication skills. Strong advantage Hands-on Model Context Protocol (MCP) experience. Azure AI Foundry / Azure OpenAI. Copilot Studio. Power Automate. Agent orchestration frameworks such as Semantic Kernel, LangGraph or similar. Azure Functions / API Management / Logic Apps. Experience with enterprise AI governance, evaluation and observability. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.