Location: New York, NY
Workplace: Hybrid
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
KEY RESPONSIBILITIES
- Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
- Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
- Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
- Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
- Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
REQUIREMENTS
- 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
- 2+ years of hands-on experience building and shipping production agent systems.
- Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
- Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
- Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
- Comfortable operating across the full spectrum from advisory to embedded delivery.
- Willing to travel up to 20% of the time.
NICE TO HAVE
- Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.
- Experience with trace mining to drive continuous improvement loops
LOCATION
New York, New York
COMPENSATION
$150,000-$300,000 base + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
-Разрабатывать системы анализа здоровья: наше ключевое направление — AI, который помогает пользователю понять своё состояние и вовремя дойти до врача. -Внедрять AI-фичи в продукт и в компанию: интеграция LLM (онлайн и on-prem), интеллектуальный поиск, ассистенты для пользователей и внутренних команд.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
You’ll own AI-assisted coding within Sentry’s Platform Engineering organization, building the systems and workflows AI coding agents need to contribute reliably to our codebase. Your work will span engineering teams, with Developer Infrastructure as your home base.
Your first focus will be making internal developer systems accessible to agents. Many workflows currently depend on human interaction through a UI. You’ll identify the most valuable gaps, expose those capabilities through APIs, and connect tools such as Claude Code to complete development workflows.
From there, you’ll improve the quality of AI-generated pull requests and automate recurring engineering work, including dependency upgrades, minor bug fixes, and maintenance. You’ll build the context and execution environment agents need: relevant repository information, tools and permissions, state management, tests, logs, recovery mechanisms, and evaluations.
You’ll partner with engineers across Sentry to understand where agents succeed, where they fail, and which changes improve the development process. This role combines technical direction with hands-on implementation, from choosing the problems to solve through building, measuring, and improving the solutions.
This role is based in San Francisco, with three days per week in the office to work closely with Platform teams and engineering leadership.
WHAT YOU’LL DO
- Set priorities for AI-assisted development at Sentry, using engineer feedback and workflow data to identify where agents would provide the most value.
- Make internal developer systems accessible through APIs and build integrations enabling agents to complete workflows across those systems.
- Build context systems and agent execution tooling, including tool access, permissions, checkpoints, retries, and logging.
- Develop automated checks, evaluations, and feedback loops to improve the correctness, maintainability, and review readiness of AI-generated pull requests.
- Automate recurring work such as security dependency upgrades, minor bug fixes, and routine maintenance.
- Improve supporting developer workflows, including issue triage and CI/CD, where they limit agent effectiveness or create repetitive work for engineers.
- Lead changes across engineering teams, build agreement on priorities, and measure whether the tools reduce manual work and improve delivery.
HOW YOU WORK
- You’ve used AI coding agents on real development work and have informed views on their strengths, limitations, and failure modes.
- You bring structure to ambiguous problems, choose a practical starting point, and follow through on delivery.
- You move comfortably between infrastructure, backend systems, and developer tooling.
- You know when to build, integrate an existing tool, involve another team, or stop work with limited value.
- You combine data with direct feedback from engineers to assess whether a solution improves their work.
- You explain technical tradeoffs clearly and build alignment across teams and senior leadership.
QUALIFICATIONS
- 10+ years of software engineering experience, including hands-on ownership of production systems.
- Experience building developer tools, infrastructure, or automation used by engineering teams, such as CI/CD systems, internal APIs, code review tooling, or agent workflows.
- Hands-on experience using AI coding tools and agents, with an understanding of how context, tool access, and validation affect their output. Prior machine learning experience is not required.
- Strong software engineering and system design fundamentals, including experience building reliable integrations across systems.
- A track record of leading cross-team technical initiatives from problem definition through implementation and adoption.
- Clear written and verbal communication, including explaining technical decisions and recommendations to senior engineering leaders.
NICE TO HAVE
- Experience building agent harnesses, context systems, evaluations, or automated pull request workflows.
- Experience with code review tooling, static analysis, or automated testing.
- Experience measuring and improving developer experience or engineering productivity.
- Experience with large-scale distributed systems or monolith decomposition.
- Public contributions to developer tooling or AI-assisted development projects.
The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Ljubljana, Slovenia
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
At Aleph, we're committed to ensuring that all of our customers' and partners' data is protected and that our work complies with data protection legislation across the markets we operate in — including as AI regulation reshapes that landscape. We're looking for an experienced AI Tech and Data Privacy Associate Manager (or Manager, depending on experience), to join our global team and help manage sensitive information, support contract preparation, carry out data protection assessments, and advise on the growing intersection of AI governance and privacy compliance across our global footprint.
What You Will Do
Advise on and support the practical implementation of legal requirements across all AI risk categories (e.g., under the EU AI Act — prohibited, high-risk, limited-risk, and minimal-risk systems), including risk classification, compliance obligations, and coordination with product and tech teams.
Monitor emerging AI regulations more broadly and advise on their intersection with data protection across our markets.
Advise the business on responsible AI governance and internal AI use policies.
Advise, coordinate, and support colleagues across the business on data protection and privacy compliance issues, including in non-EU markets.
Collaborate on internal audits at Aleph Group level in the field of data protection.
Help prepare reports, presentations, and educational materials on data protection, privacy, and AI compliance topics.
Participate in data protection, privacy, and AI-related legal projects.
Promote a strong culture of data protection and responsible AI compliance across Aleph.
Support AI-related technology projects, including API integrations with third-party AI providers, ensuring data protection, IP, and contractual compliance throughout implementation.
Negotiate and draft agreements related to AI/technology procurement (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions.
Coordinate with product, tech, and other teams to assess IP, confidentiality, and data protection risks before onboarding new AI tools or vendors.
Organize and maintain data protection records and related documentation at a global level.
Support the preparation of contracts with business partners and other legal documents (for example, internal policies) in the field of data protection and GDPR compliance.
Carry out Data Protection Impact Assessments (DPIAs) together with the wider team.
Take on other ad hoc legal and compliance-related tasks as needed.
What We Are Looking For
A degree in Law.
Minimum 4–6 years of hands-on experience in data privacy and compliance, with a strong focus on GDPR — this is not an entry-level role.
Solid expertise in data privacy laws and practices, including a deep understanding of GDPR.
Hands-on experience completing legal/compliance requirements for the implementation of AI systems across all risk categories (e.g., under the EU AI Act), including but not limited to high-risk systems — this is a requirement, not just a plus.
Working knowledge of AI-related legal and regulatory frameworks more broadly.
Demonstrated ability to research and apply data privacy requirements in non-EU markets (LATAM, APAC, and/or MEA), given our global operating footprint.
Proficient English communication skills, written and verbal — this is a must.
A tech-oriented mindset, genuine curiosity about how AI and emerging technologies intersect with privacy law, and strong motivation to continuously learn new legal frameworks and compliance tools.
Experience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus.
Practical experience negotiating and drafting technology/AI related agreements (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions.
Why Join Aleph
Shape data protection and AI governance practice at scale: your work will directly protect the trust of Aleph's customers and partners across a global footprint spanning Europe, LATAM, APAC and MEA.
Apply AI compliance expertise at scale: you'll drive real implementation work across the full spectrum of AI risk categories as regulation matures, not just policy-watching.
Build deep expertise fast: exposure to DPIAs, cross-border data transfers, AI risk assessments, and multi-jurisdictional privacy frameworks gives you a faster path to becoming a recognized privacy expert than most single-market roles.
Join a growing, collaborative legal team based in Warsaw that values mentorship and hands-on learning over hierarchy.
In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. The minimum gross annual base salary is EUR 39,000, with the final level (Associate Manager or Manager) and offer reflecting your experience, skills, and scope of the role.
In addition to base salary, this role includes a variable component, paid annually.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
You'll lead the team that builds the intelligence every ZoomInfo AI agent reasons over — what's true about companies and the people in them, how they relate, and what they're buying. You'll set the technical bar for a team of senior engineers while staying close to the code, shipping alongside the people you lead.
• Улучшать базовую самостоятельность модели. Продумывать решения, методы оценки и ревардинга модели, подходы к агентности и интеграции с сервисами, улучшать качество ответов как таковое.
We are looking for a Middle / Strong Middle NLP / LLM Engineer to develop production AI solutions across RAG, LLM applications, AI assistants, document processing and multilingual NLP, working closely with senior engineers. -Develop and improve RAG applications: chunking, embeddings, retrieval and reranking.
В рамках данной позиции предстоит заниматься проектированием и разработкой AI-агентов, включая реализацию сценариев, оркестрацию, вызов инструментов и интеграцию с внутренними сервисами. Необходимо преобразовывать прототипы и модели Data Science в стабильные промышленные решения, обеспечивая их упаковку, интеграцию в сервисы и пайплайны, версионирование и сопровождение. Работа включает разработку на Python сервисов, библиотек и пайплайнов, написание автотестов и участие в код-ревью. Также требуется проектировать, создавать и поддерживать витрины данных для ML-моделей и агентов, обрабатывать большие объемы данных с использованием SQL, Hadoop и Spark, оптимизировать запросы и вычислительные задачи. Важной частью является обеспечение качества и наблюдаемости решений через логирование, мониторинг, обработку ошибок и контроль качества данных. Кандидат должен иметь опыт промышленной разработки на Python не менее двух лет, уметь писать поддерживаемый код с типизацией, тестированием, обработкой ошибок и логированием, а также уверенно владеть SQL, включая сложные запросы, оконные функции и оптимизацию. Требуется опыт построения и сопровождения ETL/ELT-пайплайнов и витрин данных, а также опыт вывода сервисов, моделей или data-продуктов в промышленную эксплуатацию. Необходимо понимание принципов работы AI-агентов, включая оркестрацию, вызов инструментов, управление состоянием и интеграцию с API, а также жизненного цикла ML-модели от артефакта и данных до инференса, мониторинга и обновления. Будет преимуществом опыт разработки AI-агентов с использованием LangGraph, LangChain, LlamaIndex или собственного оркестратора, а также опыт работы с LLM, RAG и векторными хранилищами. Дополнительным плюсом считается опыт оркестрации пайплайнов в Airflow или аналогичных системах, работы с Kafka и событийными архитектурами, знание Docker, CI/CD и Kubernetes, практический опыт с Hadoop и Spark, внедрение ML- или LLM-сервисов во внутреннем контуре, а также опыт в банковском домене, продуктах для юридических лиц или документообороте. Формат работы — офис или гибрид в Москве.
Задачи:
— проектирование и реализация единой корпоративной агентной платформы, предоставляющей пользователю единую точку взаимодействия с информационными системами и бизнес-процессами;
— разработка главного агента-оркестратора, специализированных агентов, реестра инструментов;
— управление контекстом и состоянием, межагентное взаимодействие;
— интеграция с корпоративными системами;
— обеспечение безопасности, наблюдаемости, тестирование качества и отказоустойчивости;
— hands-on участие в разработке.
Требования:
— от 3 лет коммерческой backend-разработки;
— опыт технического проектирования распределённых систем;
— практический опыт работы с LLM и агентными системами;
— желательно наличие хотя бы одного агентного или LLM-продукта, доведённого до пилотной либо промышленной эксплуатации;
— опыт технического лидерства или владения архитектурой крупного модуля;
— умение работать в условиях неполных требований и формировать целевую архитектуру;
— способность общаться с разработчиками и владельцами бизнес-процессов;
— практический опыт разработки LLM-агентов и agentic workflows;
— понимание различий между агентом, инструментом, workflow, multi-agent системой и чат-ботом;
— опыт реализации supervisor/orchestrator-архитектуры;
— планирование и декомпозиция сложных пользовательских задач;
— выбор специализированного агента или инструмента;
— реализация взаимодействия между агентами, параллельное выполнение независимых задач;
— управление состоянием долгоживущих сценариев, работа с краткосрочной и долгосрочной памятью;
— контроль циклов, timeout, retry и fallback;
— разрешение конфликтующих результатов нескольких агентов;
— реализация human-in-the-loop и запрос подтверждения перед критичными действиями;
— защита от бесконтрольного поведения агентов;
— межагентское взаимодействие: типизированные сообщения, контракты задач и результатов, делегирование задач, общий и изолированный контекст агентов, очереди и приоритеты задач, синхронное и асинхронное взаимодействие, передача управления, трассировка цепочки выполнения, предотвращение зацикливания, повторное выполнение и идемпотентность, обработка частичной недоступности агентов и инструментов;
— сильное знание Python, async/await и конкурентное выполнение;
— опыт работы с FastAPI, Pydantic, pytest;
— проектирование API и типизированных контрактов;
— модульная и гексагональная архитектура;
— интеграция нового функционала в существующие системы;
— опыт работы с REST, gRPC, WebSocket или Server-Sent Events;
— работа с очередями сообщений и фоновыми задачами;
— опыт работы с долгоживущими и асинхронными процессами;
— понимание микросервисной архитектуры и модульных монолитов;
— умение проектировать систему без жёсткой зависимости от конкретной LLM или фреймворка.
Условия:
— комфортный современный офис в Москве, ул. Вавилова 19;
— офисный формат работы на период испытательного срока, после возможен гибрид;
— ежегодный пересмотр зарплаты, структура дохода: оклад + годовая премия;
— корпоративный спортзал и зоны отдыха;
— более 400 образовательных программ СберУниверситета для профессионального и карьерного развития;
— программа адаптации и помощь руководителя на старте (для Junior позиций);
— 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.
Location: Sofia, Bulgaria
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
At Aleph, we're committed to ensuring that all of our customers' and partners' data is protected and that our work complies with data protection legislation across the markets we operate in — including as AI regulation reshapes that landscape. We're looking for an experienced AI Tech and Data Privacy Associate Manager (or Manager, depending on experience), to join our global team and help manage sensitive information, support contract preparation, carry out data protection assessments, and advise on the growing intersection of AI governance and privacy compliance across our global footprint.
What You Will Do
Advise on and support the practical implementation of legal requirements across all AI risk categories (e.g., under the EU AI Act — prohibited, high-risk, limited-risk, and minimal-risk systems), including risk classification, compliance obligations, and coordination with product and tech teams.
Monitor emerging AI regulations more broadly and advise on their intersection with data protection across our markets.
Advise the business on responsible AI governance and internal AI use policies.
Advise, coordinate, and support colleagues across the business on data protection and privacy compliance issues, including in non-EU markets.
Collaborate on internal audits at Aleph Group level in the field of data protection.
Help prepare reports, presentations, and educational materials on data protection, privacy, and AI compliance topics.
Participate in data protection, privacy, and AI-related legal projects.
Promote a strong culture of data protection and responsible AI compliance across Aleph.
Support AI-related technology projects, including API integrations with third-party AI providers, ensuring data protection, IP, and contractual compliance throughout implementation.
Negotiate and draft agreements related to AI/technology procurement (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions.
Coordinate with product, tech, and other teams to assess IP, confidentiality, and data protection risks before onboarding new AI tools or vendors.
Organize and maintain data protection records and related documentation at a global level.
Support the preparation of contracts with business partners and other legal documents (for example, internal policies) in the field of data protection and GDPR compliance.
Carry out Data Protection Impact Assessments (DPIAs) together with the wider team.
Take on other ad hoc legal and compliance-related tasks as needed.
What We Are Looking For
A degree in Law.
Minimum 4–6 years of hands-on experience in data privacy and compliance, with a strong focus on GDPR — this is not an entry-level role.
Solid expertise in data privacy laws and practices, including a deep understanding of GDPR.
Hands-on experience completing legal/compliance requirements for the implementation of AI systems across all risk categories (e.g., under the EU AI Act), including but not limited to high-risk systems — this is a requirement, not just a plus.
Working knowledge of AI-related legal and regulatory frameworks more broadly.
Demonstrated ability to research and apply data privacy requirements in non-EU markets (LATAM, APAC, and/or MEA), given our global operating footprint.
Proficient English communication skills, written and verbal — this is a must.
A tech-oriented mindset, genuine curiosity about how AI and emerging technologies intersect with privacy law, and strong motivation to continuously learn new legal frameworks and compliance tools.
Experience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus.
Practical experience negotiating and drafting technology/AI related agreements (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions.
Why Join Aleph
Shape data protection and AI governance practice at scale: your work will directly protect the trust of Aleph's customers and partners across a global footprint spanning Europe, LATAM, APAC and MEA.
Apply AI compliance expertise at scale: you'll drive real implementation work across the full spectrum of AI risk categories as regulation matures, not just policy-watching.
Build deep expertise fast: exposure to DPIAs, cross-border data transfers, AI risk assessments, and multi-jurisdictional privacy frameworks gives you a faster path to becoming a recognized privacy expert than most single-market roles.
Join a growing, collaborative legal team based in Warsaw that values mentorship and hands-on learning over hierarchy.
In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. The minimum gross annual base salary is EUR 33,000, with the final level (Associate Manager or Manager) and offer reflecting your experience, skills, and scope of the role.
In addition to base salary, this role includes a variable component, paid annually.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: Budapest, Hungary
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
At Aleph, we're committed to ensuring that all of our customers' and partners' data is protected and that our work complies with data protection legislation across the markets we operate in — including as AI regulation reshapes that landscape. We're looking for an experienced AI Tech and Data Privacy Associate Manager (or Manager, depending on experience), to join our global team and help manage sensitive information, support contract preparation, carry out data protection assessments, and advise on the growing intersection of AI governance and privacy compliance across our global footprint.
What You Will Do
Advise on and support the practical implementation of legal requirements across all AI risk categories (e.g., under the EU AI Act — prohibited, high-risk, limited-risk, and minimal-risk systems), including risk classification, compliance obligations, and coordination with product and tech teams.
Monitor emerging AI regulations more broadly and advise on their intersection with data protection across our markets.
Advise the business on responsible AI governance and internal AI use policies.
Advise, coordinate, and support colleagues across the business on data protection and privacy compliance issues, including in non-EU markets.
Collaborate on internal audits at Aleph Group level in the field of data protection.
Help prepare reports, presentations, and educational materials on data protection, privacy, and AI compliance topics.
Participate in data protection, privacy, and AI-related legal projects.
Promote a strong culture of data protection and responsible AI compliance across Aleph.
Support AI-related technology projects, including API integrations with third-party AI providers, ensuring data protection, IP, and contractual compliance throughout implementation.
Negotiate and draft agreements related to AI/technology procurement (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions.
Coordinate with product, tech, and other teams to assess IP, confidentiality, and data protection risks before onboarding new AI tools or vendors.
Organize and maintain data protection records and related documentation at a global level.
Support the preparation of contracts with business partners and other legal documents (for example, internal policies) in the field of data protection and GDPR compliance.
Carry out Data Protection Impact Assessments (DPIAs) together with the wider team.
Take on other ad hoc legal and compliance-related tasks as needed.
What We Are Looking For
A degree in Law.
Minimum 4–6 years of hands-on experience in data privacy and compliance, with a strong focus on GDPR — this is not an entry-level role.
Solid expertise in data privacy laws and practices, including a deep understanding of GDPR.
Hands-on experience completing legal/compliance requirements for the implementation of AI systems across all risk categories (e.g., under the EU AI Act), including but not limited to high-risk systems — this is a requirement, not just a plus.
Working knowledge of AI-related legal and regulatory frameworks more broadly.
Demonstrated ability to research and apply data privacy requirements in non-EU markets (LATAM, APAC, and/or MEA), given our global operating footprint.
Proficient English communication skills, written and verbal — this is a must.
A tech-oriented mindset, genuine curiosity about how AI and emerging technologies intersect with privacy law, and strong motivation to continuously learn new legal frameworks and compliance tools.
Experience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus.
Practical experience negotiating and drafting technology/AI related agreements (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions.
Why Join Aleph
Shape data protection and AI governance practice at scale: your work will directly protect the trust of Aleph's customers and partners across a global footprint spanning Europe, LATAM, APAC and MEA.
Apply AI compliance expertise at scale: you'll drive real implementation work across the full spectrum of AI risk categories as regulation matures, not just policy-watching.
Build deep expertise fast: exposure to DPIAs, cross-border data transfers, AI risk assessments, and multi-jurisdictional privacy frameworks gives you a faster path to becoming a recognized privacy expert than most single-market roles.
Join a growing, collaborative legal team based in Warsaw that values mentorship and hands-on learning over hierarchy.
In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. The minimum gross annual base salary is HUF 12,696,800, with the final level (Associate Manager or Manager) and offer reflecting your experience, skills, and scope of the role.
In addition to base salary, this role includes a variable component, paid annually.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Компания "Урал Логистика" приглашает AI-инженера для участия в создании собственной системы обработки документов и данных для грузовых железнодорожных перевозок и связанных услуг.
Задачи:
— Проектировать и разрабатывать конвейер обработки документов: загрузку, нормализацию, сегментацию, определение структуры и подготовку контекста
— Извлекать структурированные данные из договоров, приложений, дополнительных соглашений, актов и других связанных документов
— Работать с длинным контекстом, таблицами, пересекающимися формулировками и изменениями условий во времени
— Обеспечивать атрибуцию результата к документу, странице и исходному фрагменту
— Строить гибридный поиск: полнотекстовый и векторный retrieval, фильтрацию, реранкинг и сбор контекста
— Развивать графовое представление документов, сущностей и связей для поисковых и аналитических сценариев
— Проектировать агентные и workflow-сценарии: управление состоянием, инструментальные вызовы, повторы, fallback-механизмы и обработку отказов
— Создавать эталонные наборы, метрики по полям и регрессионные тесты для оценки извлечения, поиска и генерации — чтобы при смене модели, промпта или retrieval-стратегии было видно, что улучшилось, а что деградировало
— Разрабатывать Python-сервисы, API, фоновые задачи и интеграции с внутренними источниками
— Участвовать в выборе моделей, постановке экспериментов, fine-tuning и оптимизации локального inference
Требования:
— Уверенная промышленная разработка на Python уровня middle+ и выше
— Опыт с FastAPI или аналогичным фреймворком, асинхронным исполнением, очередями и фоновой обработкой
— PostgreSQL и SQL на рабочем уровне
— Практический опыт вывода LLM-решений в production
— Понимание RAG, structured output, tool calling и многошаговых модельных сценариев
— Умение измерять качество: строить эталонные наборы, выбирать метрики, классифицировать ошибки и проводить регрессионное тестирование
— Опыт с Docker, Kubernetes и CI/CD
— Готовность доводить вертикальную задачу от спецификации и эксперимента до эксплуатации
Условия:
— Полная занятость и возможность трудоустройства через российское юридическое лицо в штат или через согласованную аутстафф-модель
— Основной формат — офис или гибрид
— Для самостоятельных специалистов возможна распределённая работа из России
Итоговый грейд и масштаб ответственности определяются по результатам собеседования.
ГибридМосква
ГибридSan Francisco, California
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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ГибридExperience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus
ГибридseniorМосква
ГибридSofia, Bulgaria; Experience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus
ГибридBudapest, Hungary; Experience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus
