Location: Amsterdam
Workplace: Hybrid
Build with us
Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable.
With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions.
We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of.
Sound like your kind of place? Let's build together.
Your impact
Mollie has an important role and responsibility in the financial ecosystem, handling customer funds with a high degree of diligence and scrutiny. The financial services domain sits at the core of Mollie, it orchestrates all money movements to power all of Mollie's financial products.
Analytics engineering plays an important role in this ecosystem, as these core financial processes handle massive, complex volumes of data originating from different internal systems. By establishing robust data pipelines, maintaining automated data quality checks, and fostering deep collaboration with cross functional partners in Engineering and Treasury & Merchant Finance, the Analytics Engineering team ensures full data integrity and enables the daily reconciliation of Mollie's books.
You will be working on creating and maintaining critical data assets that enable Mollie to reconcile their books. This involves creating and maintaining solid dbt data models from raw source data to consumable mart tables. You will play a part in creating and maintaining tooling to visualize and report the required data, mostly in our BI tooling that makes it easy for the end user to extract the required data. To do this, you will be working closely with engineers to understand the inner workings of Mollie's money movements and, most importantly, get the correct data. You will also be collaborating with Merchant Finance & Treasury to make sure they can do daily reconciliation in our BI tooling.
What you'll ship
- Build and maintain dbt data models, from raw source data to consumable mart tables, powering tooling and dashboards that monitor critical financial processes.
- Work closely with engineers to understand how Mollie's money movements and financial processes work to make sure you model the data correctly
- Partner with stakeholders across Merchant Finance &, Treasury domain to define and track key financial data, and enable daily reconciliation
- Implement data quality validation checks, testing frameworks, and proactive monitoring to ensure high trust in the data used for analysis and decision making
What you'll bring
- 5+ years of experience in analytics engineering roles
- Strong technical foundation in SQL; experience with data modelling and automation
- Strong level of dbt; experiene in BigQuery/GCP and Airflow are a plus.
- Ability to take a helicopter view to zoom in and out to determine what really matters
- Skilled at stakeholder management, especially across technical and non-technical teams. Willingness to challenge senior stakeholders on their assumptions and requests.
- Experience in financial data and financial processes is a big plus; experience in fintech and/or banking.
- Business-aware, impact-driven, and curious
Grow your way
At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.
You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.
No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way.
Unlock your full potential and join us to eliminate financial bureaucracy
If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below.
AI at Mollie
We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day.
AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.
Location: Remote - India
Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit
www.bugcrowd.com
.
Job Summary
At Bugcrowd, we handle application security assessment at an epic scale. As an Application Security Engineer (ASE) you will curate and manage the incoming security vulnerability submissions to some of the world’s biggest companies’ bug bounty programs. Here are just a few of the reasons why we are the best:
A tenure at Bugcrowd often means you have worked on not only one company’s security program but potentially on hundreds.
As an ASE at Bugcrowd you will be exposed to the Internet’s best security researchers and their cutting-edge security testing methodologies. Our ASEs quickly become technically fluent in obscure/complex XSS, SQLi, XXE, IDOR, SSTI, SSRF, and many other vulnerability types. There is no other organization that offers the learning opportunity that Bugcrowd does.
You will be exposed to things outside of your comfort zone. We routinely run security programs for cars, IoT devices, embedded systems, mobile applications, and more!
We have an awesome team and tons of perks. We’ve even been selected as one of “The 10 Coolest Security Startups Of 2016” by crn.com.
Essential Duties & Responsibilities
An ASE is responsible for the ongoing triage and validation services of Bugcrowd managed programs. Under the direction of the Director of Technical Operations, you will take incoming submission data and curate it for validity, accuracy, and severity as well as communicate directly with Bugcrowd’s clients or researchers when additional information is required. ASEs also handle Incident Response – escalating and communicating about the highest severity bugs to clients. ASEs need to have strong knowledge of OWASP Top Ten type vulnerabilities. They also usually require a strong skill set in one scripting/development language, often to assist with the design or development of tooling for improving the triage/validation process. The ASE position is perfect for security professionals looking to take their skills to the next level.
Education, Experience, Skills, & Abilities
Bachelor’s degree or previous security consulting experience
Published and demonstrated passion for security assessment research
High proficiency with Burp Suite (or any other interception proxy) and a working level of experience with other industry standard tools (nmap, sqlmap, anything included in Kali Linux)
Ability to execute on individual projects but still contribute to the team
Ability to complete tasks on time
Strong organization, influencing, and communication skills
Working Conditions
The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation.
Sitting and/or standing - Must be able to remain in a stationary position 50% of the time
Carrying and /or lifting - Must be able to carry / move laptop as needed throughout the work day.
Environment - remote, work-from-home 100% of the time.
ADA Statement
Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ada@bugcrowd.com.
Culture
At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work.
We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well.
Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point.
At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring.
Disclaimer
This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence.
The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets).
Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by
law.
Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here:
https://www.bugcrowd.com/privacy
.
Equal Employment Opportunity:
Bugcrowd is EOE, Disability/Age Employer.
Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com.
Apply at:
https://www.bugcrowd.com/about/careers/
Location: Milan
Workplace: Hybrid
Build with us
Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable.
With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions.
We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of.
Sound like your kind of place? Let's build together.
Your impact
Mollie has an important role and responsibility in the financial ecosystem, handling customer funds with a high degree of diligence and scrutiny. The financial services domain sits at the core of Mollie, it orchestrates all money movements to power all of Mollie's financial products.
Analytics engineering plays an important role in this ecosystem, as these core financial processes handle massive, complex volumes of data originating from different internal systems. By establishing robust data pipelines, maintaining automated data quality checks, and fostering deep collaboration with cross functional partners in Engineering and Treasury & Merchant Finance, the Analytics Engineering team ensures full data integrity and enables the daily reconciliation of Mollie's books.
You will be working on creating and maintaining critical data assets that enable Mollie to reconcile their books. This involves creating and maintaining solid dbt data models from raw source data to consumable mart tables. You will play a part in creating and maintaining tooling to visualize and report the required data, mostly in our BI tooling that makes it easy for the end user to extract the required data. To do this, you will be working closely with engineers to understand the inner workings of Mollie's money movements and, most importantly, get the correct data. You will also be collaborating with Merchant Finance & Treasury to make sure they can do daily reconciliation in our BI tooling.
What you'll ship
- Build and maintain dbt data models, from raw source data to consumable mart tables, powering tooling and dashboards that monitor critical financial processes.
- Work closely with engineers to understand how Mollie's money movements and financial processes work to make sure you model the data correctly
- Partner with stakeholders across Merchant Finance &, Treasury domain to define and track key financial data, and enable daily reconciliation
- Implement data quality validation checks, testing frameworks, and proactive monitoring to ensure high trust in the data used for analysis and decision making
What you'll bring
- 5+ years of experience in analytics engineering roles
- Strong technical foundation in SQL; experience with data modelling and automation
- Strong level of dbt; experiene in BigQuery/GCP and Airflow are a plus.
- Ability to take a helicopter view to zoom in and out to determine what really matters
- Skilled at stakeholder management, especially across technical and non-technical teams. Willingness to challenge senior stakeholders on their assumptions and requests.
- Experience in financial data and financial processes is a big plus; experience in fintech and/or banking.
- Business-aware, impact-driven, and curious
Grow your way
At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.
You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.
No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way.
Unlock your full potential and join us to eliminate financial bureaucracy
If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below.
AI at Mollie
We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day.
AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.
Признаки (N ~200) намеренно анонимизированы, чтобы убрать преимущество финансового домена и сфокусировать задачу исключительно на моделировании зашумленных нестационарных рядов. Нужно предсказывать два таргета (t0, t1), оцениваемых по взвешенной корреляции Пирсона (с клиппингом в [-2.0, 2.0]).
‼️ Qo`shimcha: Neonline ai jamoasiga ai va machine learning sohasiga qiziqadigan, boshlang‘ich bilimga ega va real ai loyihalar ustida ishlab, amaliy tajriba orttirishni istaydigan machine learning engineer intern stajyorlarni taklif qilamiz. talabla r: python, git bilan ishlash, va machine learning haqida boshlang‘ich tushunchaga ega bo‘lish.
Location: Москва
Мы — команда, которая занимается обучением LLM, VLM и CV моделей. Создаем нативные омнимодальные архитектуры, новые способы кодирования и совместного обучения в доменах изображений, аудио, видео и т.д.
Наши основные направления: обучение LLM и VLM с нуля, разработка новых архитектур, Computer Vision research, создание opensource инструментов, сбор и подготовка данных, деплой моделей для MVP. Работаем на кластере с GPU уровня H100.
**Ищем** Edge AI / ML Deployment инженера, который проведёт модель через весь путь от RnD-прототипа до prod-ready решения: оптимизация инференса, квантование и запуск на Edge-девайсах, масштабирование на кластерах.
Обязанности
* подготовка RnD-технологий к prod-ready решению;
* оптимизация моделей и кода инференса для масштабирования на кластерах;
* подготовка и запуск моделей на Edge-девайсах (Nvidia Jetson, Rockchip, Amlogic Khadas).
Требования
* опыт работы с Nvidia Jetson (Orin, Xavier, Nano);
* уверенный C++ (для инференса) + Python (для скриптов и подготовки);
* умение делать квантование моделей из PyTorch-весов (FP32, FP16, FP8, FP4), квантование (INT8, INT4), QAT и калибровка моделей;
* Linux, CMake, опыт кросс-компиляции под ARM.
**Будет плюсом:**
* опыт работы с NPU от Rockchip (RK3588, RK3568, RV1126) / Amlogic (A311D, C308X, Khadas);
* знание API Nvidia CUDA
Условия
* комфортный современный офис рядом с м. Кутузовская
* гибридный формат работы
* ежегодный пересмотр зарплаты, годовая премия от 3х окладов
* большой спортзал и зоны отдыха
* система обучения для профессионального и карьерного развития
* расширенный полис ДМС с первого дня работы и страхование для семьи
* программа ипотеки для сотрудников со скидкой -1/3 от текущей ставки
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
Location: Bengaluru
Workplace: Hybrid
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 building the infrastructure foundation behind one of the most ambitious AI product companies in the world. Our Core Infrastructure team powers every user interaction across Harvey’s legal AI platform, which already processes billions of prompt tokens and millions of daily requests for leading law firms, enterprises, and other high-stakes customers.
We are looking for an Engineering Manager to lead Core Infrastructure from Bengaluru as we scale the platform, the team, and the next generation of Harvey products. This is a high-leverage role for a builder-leader who can grow strong engineers, drive technical execution, and raise the bar on reliability, performance, security, and developer velocity.
This is not a pure operations role. Core Infrastructure at Harvey is responsible for building new systems as well as hardening existing ones, with an emphasis on architecture, scale, and long-term platform leverage rather than reactive firefighting alone.
Harvey is in a build era, not a maintenance era. New product surfaces ship rapidly, and India engineering is expected to play a foundational role in shaping the architecture, culture, and roadmap of Harvey’s next decade.
At Harvey, we value Decisiveness, Simplicity, and the mindset that Job's Not Finished. We move fast, prioritize clarity, and are always striving for excellence. If this resonates with you, we'd love to hear from you.
WHY THIS ROLE MATTERS:
Core Backend Infrastructure exists to “deliver core infrastructure that powers our products and teams,” and its current mission is operational excellence at scale. The team serves two critical user groups: external customers who need Harvey to be as reliable as the tools it replaces, and internal product engineering teams who need infrastructure they can build on without firefighting.
The systems this team owns are directly tied to Harvey’s next wave of growth, including agent infrastructure, database resilience, site reliability, vector search, job execution, regional data residency, and multi-cloud scale.
WHAT YOU'LL DO:
- Lead, hire, and develop a high-agency infrastructure team in Bengaluru, creating a culture of accountability, technical excellence, and strong mentorship.
- Own delivery for core infrastructure investments spanning cloud infrastructure, observability, container orchestration, reliability, and platform foundations.
- Partner closely with Product Engineering, Security, and adjacent platform teams so infrastructure accelerates product delivery instead of constraining it.
- Guide technical strategy across multi-cloud infrastructure, including Azure- and GCP-based systems, Kubernetes orchestration, networking, container management, and infrastructure as code.
- Drive operational excellence through better observability, incident response, disaster recovery, runbooks, alerting, and recovery tooling.
- Help the organization scale safely by improving system design quality, hardening critical paths, and pushing durable solutions to reliability bottlenecks before they become customer-facing failures.
- Partner with AI and product teams to support Harvey’s next major product surfaces, including agent workflows, model infrastructure, and large-scale document processing systems.
- Contribute as a hands-on technical leader when needed, especially in architecture reviews, incident leadership, prioritization, and high-stakes cross-functional programs.
REPRESENTATIVE PROBLEMS YOU MAY LEAD:
- Hardening the Agent Platform so product teams can ship AI agent experiences with resource isolation, authenticated sandbox access, and resilient execution.
- Improving database resilience and recovery so incidents are mitigated quickly and the main database never becomes the bottleneck during critical events.
- Raising site reliability through stronger alerting, failover strategy, autoscaling, and runbooks so customers are never the first to know Harvey is degraded.
- Scaling vector and retrieval infrastructure that underpins document-heavy workflows and enterprise search, including migrations that improve reliability and unlock new capabilities.
- Building a multi-region, enterprise-grade platform that meets strict data residency, security, and uptime expectations for global customers.
WHAT WE’RE LOOKING FOR:
- 12+ years of hands-on backend infrastructure or platform engineering experience in production environments
- 5+ years of engineering management experience.
- Deep technical strength across cloud infrastructure, Kubernetes, networking, observability, CI/CD, and infrastructure-as-code tooling such as Terraform or Pulumi.
- A track record of designing and scaling reliable distributed systems, with strong judgment around performance, fault tolerance, and operational tradeoffs.
- Experience leading complex cross-functional initiatives and translating ambiguous platform needs into clear execution plans and measurable outcomes.
- Strong people leadership: hiring well, coaching engineers, creating accountability, and building a healthy, high-performing team culture.
- Clear communication and calm execution during incidents, escalations, and high-stakes customer-impacting situations.
- A systems mindset, bias for simplicity, and the ability to raise standards while keeping teams moving fast.
NICE TO HAVE
- Experience with AI/ML infrastructure, high-throughput inference systems, or model platform reliability.
- Experience operating multi-tenant, security-sensitive platforms for enterprise or regulated customers.
- Familiarity with Azure at scale; GCP or AWS experience also transfers well.
- Experience supporting global, follow-the-sun operations or building teams across regions.
ADDITIONAL INFORMATION
- Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role.
PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice.
#LI-AS2
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
Torc is looking for an Engineering Manager Systems Triage Metrics and Analysis to lead data analysis and metrics reporting for autonomous-driving software quality.
Location: Warsaw, Poland
Blue Projects is looking for experienced Senior Utilities Engineer with FMCG utilities and production process backgrounds. Able to assess a situation and seek multiple perspectives.
Your responsibilities:
· The incumbent will fulfil the role of Senior Utilities Engineer, which is a position requiring strong and aligned technical skills and competencies, inclusive of the ability to translate engineering fundamentals into practical application. The relevant fields of engineering include but are not limited to:
Refrigeration systems
Steam raising and heating
Water system hydraulics and pre-treatment
Compressed air ü Piping design, and system
Calculations for heat balances
Perform detailed technical plant assessments and audits, and generate appropriate reports
Play a lead role in projects delivery, including bidding processes, team coordination, financial reporting and handover.
Lead the task of commissioning and testing project solutions.
Manage and build sustainable supplier relationships.
Be able and willing to travel domestically and internationally, as the various projects may require.
Our requirements: QUALIFICATIONS AND EXPERIENCE REQUIRED:
BSc / BEng / BTech Mechanical Engineering
Professional registration (PrEng or similar)
5+ years’ experience in the utilities engineering environment
Knowledge of contracting formats and implementation
Strong people skills with the ability to cooperate and collaborate in multi-disciplinary teams
Project Management experience will be an advantage KEY COMPETENCIES AND GENERIC SKILLS:
5+ years relevant experience in the mechanical utilities sector, including suitable involvement in major projects
Excellent application of appropriate engineering fundamentals · Ability to function autonomously and to self-initiate the development of technical skills and competencies
Excellent communication skills, both written and direct one-on-one
Engineering management and coordination skills · Ability to lead and/or implement multiple projects simultaneously
Location: Москва
Мы создаем прототипы и MVP в AI-направлениях: агентные мультимодальные
системы, персональные ассистенты, корпоративные знания. Наша цель — находить практические сценарии, проверять их ценность и доводить до
работающих решений для бизнеса. В команде ценятся инженерная самостоятельность, скорость экспериментов,
осмысленный выбор технологий и умение работать как с прототипами, так и с
production-развитием.
Мы ищем Agentic Engineer, который будет разрабатывать AI-агентов общего
назначения — от прототипов до MVP и пилотов в реальных бизнес-сценариях.
Важна способность не просто "заставить демо работать", а сделать решение
понятным, переиспользуемым и готовым к развитию.
Обязанности
* разрабатывать прототипы и MVP агентных систем на базе OpenClaw, Hermes или аналогичных фреймворков
* проектировать агентные сценарии: планирование, использование инструментов, управление контекстом и обработка ошибок
* улучшать архитектуру краткосрочной и долгосрочной памяти агента
* инженерия агентской памяти для эффективной работы агента
* разрабатывать skills и изолированные инструменты (MCP)
* тестирование и оценка trade-off (модель/производительность/качество/ стабильность).
Требования
* опыт работы с LLM API (tool calling, structured output, управление контекстом)
* практический опыт разработки AI-агентов или сложных LLM-сценариев
* опыт работы с векторными базами, Docker compose, инфраструктурными компонентами вокруг backend
* понимание observability LLM-приложений (трассировки, логирование, метрики стоимости и задержек)
* умение прототипировать без потери инженерной дисциплины.
Условия
* комфортный современный офис рядом с м. Кутузовская
* гибридный формат работы после испытательного срока
* ежегодный пересмотр зарплаты, годовая премия
* корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* программа адаптации и помощь руководителя на старте
* 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.
Ваша задача — строить RAG-системы, мультиагентные процессы и интегрировать LLM (OpenAI, Anthropic Claude) в реальные системы брокера (CRM, техподдержка, KYC/Compliance, аналитика). 🛠 Требования к кандидату: 5+ лет в бэкенд / full-stack разработке.
Location: Москва
Команда DataPlatform-Tools реализует платформенные инструменты для сервисов, AI-агентов и потребителей в домене HR-аналитики всего Банка. Мы обеспечиваем self-service для инженеров, аналитиков данных, DS, ML-инженеров: готовые DAG пайплайны, тесты качества данных (DQ), lineage, BI-визуализации. Разработка интеллектуальных ассистентов и чат-ботов для автоматизации процессов подбора персонала и карьерного развития сотрудников.
Наш фокус — доступность данных не только для сотрудников, но и для AI-агентов! Для этого мы применяем подходы топовых компаний в мире и формируем собственную практику на огромном массиве данных
Обязанности
* развитие текущих LLM-агентов и решений на их основе
* проектирование и разработка новых LLM-агентов и интеллектуальных ассистентов
* работа с RAG-системами и векторными базами данных
* оценка и повышение качества ML-моделей
* участие в создании чат-ботов для автоматизации HR-процессов
Требования
* опыт работы с LLM и фреймворками для разработки агентов (LangChain, LangGraph и др.)
* уверенные знания Python и SQL
* опыт работы с NLP-задачами
* опыт создания чат-ботов и интеллектуальных ассистентов
* понимание принципов RAG (Retrieval-Augmented Generation)
* опыт работы с векторными базами данных
* навыки оценки качества ML-моделей
Условия
* комфортный современный офис рядом с м.Кутузовская
* возможность выбрать удобный график – офис/гибрид
* ежегодный пересмотр зарплаты, 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
* льготная ипотека для каждого сотрудника
* бесплатная подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
* корпоративная пенсионная программа
* отсутствие строгого дресс-кода.