Location: Москва
Разрабатываем и сопровождаем AI-агентов для автоматизации бизнес-процессов Центра Управления Наличным Денежным Обращением: работу с корпоративными данными, аналитические сценарии и интеграции с внутренними системами. Ищем Python-разработчика с практическим опытом создания AI-агентов и мультиагентных решений.
Обязанности
* разрабатывать AI-агентов и мультиагентные сценарии на Python (LangGraph, LangChain)
* реализовывать память агентов, управление состоянием, историей диалогов и контекстом между сессиями
* создавать RAG-системы и интеграции с корпоративными источниками данных
* настраивать Tool Calling, Structured Outputs, маршрутизацию задач и оркестрацию агентов
* интегрировать решения с REST API, Kafka, базами данных и внешними сервисами
* тестировать, оптимизировать и сопровождать агентов в промышленной среде.
Требования
* Python: коммерческая разработка от 2 лет; FastAPI, asyncio, SQL, Git, Docker; понимание CI/CD
* практический опыт разработки AI-агентов на LangGraph/LangChain или аналогичных фреймворках; работа с LLM API, промптами, Tool/Function Calling и Structured Outputs
* опыт создания мультиагентных систем: распределение ролей, оркестрация, передача задач и управление состоянием; знание MCP и A2A
* опыт реализации краткосрочной и долгосрочной памяти, хранения истории взаимодействий и управления контекстом (PostgreSQL, Redis или аналоги)
* опыт построения RAG: чанкинг, эмбеддинги, поиск, реранжирование; работа с векторными хранилищами (Qdrant, pgvector, FAISS или аналоги)
* опыт интеграции с REST API и Kafka, понимание обработки ошибок и отказоустойчивости
* навыки тестирования и оценки качества ответов агентов, логирования и мониторинга
* знание методов защиты от Prompt Injection, принципов разграничения доступа и безопасного вызова инструментов
БУДЕТ ПЛЮСОМ
* Langfuse, LangSmith или другие инструменты трассировки и оценки качества
* gRPC, WebSocket, Kubernetes
* опыт построения автоматизированных проверок качества AI-агентов.
Условия
* комфортный современный офис (Волгоградский пр.) офисный режим работы
* ежегодный пересмотр зарплаты, годовую премию
* корпоративный спортзал и зоны отдыха
* уникальную систему обучения Сбера для профессионального и карьерного развития
* расширенный ДМС и льготное страхование для семьи
* 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
* корпоративную пенсионную программу
Location: Poland; Czechia; Bulgaria; Croatia; Romania; France
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
Our client is a Big4 Consultancy group that works with leading financial institutions on
AI-driven transformation, automation, advanced analytics, and financial crime prevention
. Their are building a production-grade
AI-assisted KYC / Customer Due Diligence platform
for an international insurance environment.
We are looking for an experienced
Backend / Full-Stack Engineer
to build the services connecting the AI-driven CDD platform with enterprise systems. The role requires strong hands-on experience across
C#/.NET and Python
, with a focus on APIs, enterprise integrations, asynchronous workflows, containerization, Azure DevOps, and production reliability.
CONTRACT:
B2B or B2C contract
COMMITMENT:
Full-time, 3-4 months contract with possibility of extension or getting on new projects
LOCATIONS:
Remote, EU-based candidates
START:
ASAP
PROCESS:
Initial qualification followed by client interviews
Responsibilities
Build
middleware APIs
connecting enterprise applications, data platforms, and legacy systems.
Develop and maintain
ASP.NET Core Web APIs
and Python services.
Extend AI-driven service modules and connector frameworks.
Implement reliable
asynchronous workflows
, callbacks, retries, and safe write-back mechanisms.
Integrate with REST APIs, messaging systems, queues, databases, and enterprise platforms.
Package and deploy services using
Docker
and CI/CD pipelines.
Support deployments to Azure / Databricks-based environments.
Write and maintain
unit and integration tests
.
Troubleshoot issues found during testing and in production.
Contribute to a business-critical platform where uptime, speed, and correct results are essential
Requirements
Strong hands-on experience with
C# / .NET and ASP.NET Core Web APIs
.
Practical experience with
Python
, ideally FastAPI or a comparable framework.
Experience building and integrating
REST APIs
and enterprise services.
Experience with
messaging / queues and asynchronous integration patterns
.
Strong experience with
Docker, Git, and Azure DevOps CI/CD
.
Experience writing
unit and integration tests
for production services.
Ability to work across modern cloud services and legacy enterprise systems.
Fluent English and ability to work remotely within the EU.
Location: Multiple Countries
Nitka Technologies
develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan.
We are looking for an experienced Fullstack Python Developer
to work at a long-term online education project, offering great flexibility in technology and approaches, and a friendly and positive team atmosphere.
We offer 100% remote, full-time work with a flexible schedule
Requirements:
5+ years of Python development experience
Familiarity with Python web frameworks: Django, Flask, or FastAPI
Experience with JavaScript, React
Extensive experience with relational databases, especially PostgreSQL
Proven experience designing, building, and operating high‑load systems and processing large volumes of data
Hands‑on experience with AWS or other cloud platforms
Confident working in Linux environments and writing shell scripts for automation and ops tasks
Strong spoken English (Intermediate or higher)
Nice-to-have еxperience with ClickHouse, Elasticsearch, GraphQL APIs
Working conditions:
Remote work with no time trackers, flexible working hours
Full-time (8 hours/day)
Attractive USD compensation
Paid vacation, holidays, sick leaves
Основные задачи Разработка инструментов для агентов и интеграций с корпоративными системами (1С, почта, файловые ресурсы). Обработка документов: договоры, счета, таблицы.
-проектирование архитектуры и разработка сервисов: меню и техкарты, склад и себестоимость, заказы, отчёты. -разработка внешних и внутренних интеграций: Эвотор, ЕГАИС, ЭДО, агрегаторы доставки.
– Разработка и деплой моделей: gроектировать и внедрять ML-решения (от классического регрессионного анализа до Time Series и Uplift-моделей). – Работа с Big Data: строить высокопроизводительные пайплайны обработки данных и генерации признаков на PySpark.
We are looking for a Senior Machine Learning Engineer to develop, deploy, and maintain machine learning and AI solutions for advanced financial data processing and reconciliation platforms. You will work with large and complex financial transaction datasets to build solutions for transaction matching, reconciliation, and exception handling.
Location: Lisbon, Portugal
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps.
We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams.
What you’ll do
- Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update.
- Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost.
- Build data pipelines with our Data Engineer to run models on large volumes of game data.
- Measure quality so we know what works and what doesn’t.
- Build retrieval and multi-step pipelines.
- Turn the best prototypes into real product features together with our engineers.
Our tech stack
Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React
What we’re looking for
- Strong Python (TypeScript is a plus).
- Experience with multimodal models: screenshots, images or video.
- Hands-on experience building products on top of LLM APIs, not just chatbots.
- Understanding of RAG and vector search, and when they’re not needed.
- You measure results and can show how well your solution works.
- You can work independently and explain your decisions clearly.
- Ability to pass technical interview both in Russian & English.
What we’d be particularly excited about
- Interest in or experience with mobile games, LiveOps or market analytics.
- Hands on experience in building AI projects
- Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Belgrade, Serbia
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps.
We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams.
What you’ll do
- Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update.
- Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost.
- Build data pipelines with our Data Engineer to run models on large volumes of game data.
- Measure quality so we know what works and what doesn’t.
- Build retrieval and multi-step pipelines.
- Turn the best prototypes into real product features together with our engineers.
Our tech stack
Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React
What we’re looking for
- Strong Python (TypeScript is a plus).
- Experience with multimodal models: screenshots, images or video.
- Hands-on experience building products on top of LLM APIs, not just chatbots.
- Understanding of RAG and vector search, and when they’re not needed.
- You measure results and can show how well your solution works.
- You can work independently and explain your decisions clearly.
- Ability to pass technical interview both in Russian & English.
What we’d be particularly excited about
- Interest in or experience with mobile games, LiveOps or market analytics.
- Hands on experience in building AI projects
- Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Yerevan, Armenia
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps.
We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams.
What you’ll do
- Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update.
- Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost.
- Build data pipelines with our Data Engineer to run models on large volumes of game data.
- Measure quality so we know what works and what doesn’t.
- Build retrieval and multi-step pipelines.
- Turn the best prototypes into real product features together with our engineers.
Our tech stack
Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React
What we’re looking for
- Strong Python (TypeScript is a plus).
- Experience with multimodal models: screenshots, images or video.
- Hands-on experience building products on top of LLM APIs, not just chatbots.
- Understanding of RAG and vector search, and when they’re not needed.
- You measure results and can show how well your solution works.
- You can work independently and explain your decisions clearly.
- Ability to pass technical interview both in Russian & English.
What we’d be particularly excited about
- Interest in or experience with mobile games, LiveOps or market analytics.
- Hands on experience in building AI projects
- Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Tbilisi, Georgia
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps.
We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams.
What you’ll do
- Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update.
- Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost.
- Build data pipelines with our Data Engineer to run models on large volumes of game data.
- Measure quality so we know what works and what doesn’t.
- Build retrieval and multi-step pipelines.
- Turn the best prototypes into real product features together with our engineers.
Our tech stack
Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React
What we’re looking for
- Strong Python (TypeScript is a plus).
- Experience with multimodal models: screenshots, images or video.
- Hands-on experience building products on top of LLM APIs, not just chatbots.
- Understanding of RAG and vector search, and when they’re not needed.
- You measure results and can show how well your solution works.
- You can work independently and explain your decisions clearly.
- Ability to pass technical interview both in Russian & English.
What we’d be particularly excited about
- Interest in or experience with mobile games, LiveOps or market analytics.
- Hands on experience in building AI projects
- Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Москва
Мы новое подразделение Сбера, занимающееся созданием инструментов и решений для внутренней безопасности с помощью AI. Наши задачи направлены на развитие AI-агентов, создание RAG, запуск локальных инстансов LLM и их файнтюнинг. Наши планы имеют широкий спектр - начиная от разработки DL-моделей для скоринга, поведенческого моделирования и заканчивая графовыми нейронками для выявления скрытых связей.
Сейчас мы в поисках Middle Data Scientist, который будет разрабатывать AI-агентов, адаптировать LLM под специфику задач, строить RAG-системы.
Если ты хочешь иметь возможность погрузиться в глубины LLM и Deep Learning, пробовать новые методы к файнтюнингу LLM, строить AI-агентов, то мы ждем тебя в нашу команду.
Обязанности
* cоздание и развитие решений с задействованием LLM-агентов (полноценные мультиагентские системы)
* cоздание RAG-систем
* разработка и поддержка ML/DL моделей, включая их обновление и адаптация к меняющимся условиям и требованиям бизнеса
* дообучение и адаптация открытых LLM
* создание системы мониторинга качества моделей и контроль их эффективности.
Требования
* опыт работы от 3-х лет в коммерческой разработке на позиции Data Scientist / ML Engineer с подтверждённым опытом вывода моделей в продакшен
* понимание математики классического ML и архитектуры нейросетей (PyTorch/TF)
* уверенное понимание архитектуры трансформеров, опыт работы с LLM API и локальными моделями через PyTorch / Hugging Face
* уверенный Python (чистый код, ООП, знание numpy/pandas/scikit-learn) и понимание принципов микросервесной архитектуры (Asyncio, FastAPI)
* опыт создания агентов на LangChain/LangGraph
* знание основных концепций промпт-инжиниринга и использования Structured Outputs и Function Calling
* опыт проектирования и развития RAG-систем (Multi-stage Retrieval, Dense + Sparse/BM25, Rerankers, Chunking strategies)
* опыт развертывания локальных open-source моделей (Llama, Mistral, Qwen, DeepSeek и др.) в продакшн-окружении и настройки высокопроизводительного инференса LLM с помощью vLLM
* опыт проведения Fine-tuning LLM-моделей (PEFT, LoRA/QLoRA)
* настройка мониторинга data drift и model decay, а также валидация моделей
* навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом
* опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов
* инструментальное владение AI для анализа, генерации и автоматизации.
Условия
* комфортный современный офис рядом с м. Кутузовская
* офисный формат работы
* 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
* 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.
Разрабатывать серверную часть прикладных информационных систем и ИИ-сервисов на Python. Реализовывать программные модули обработки и анализа структурированных и неструктурированных данных, в том числе технических документов.
🎯 Задачи: backend-сервисы вокруг LLM, интеграции и вывод проектов в прод у крупных промышленных заказчиков. 🖥️Ждём: Middle от 3 лет, FastAPI, асинхронность, PostgreSQL, Kafka или RabbitMQ, Docker, Linux.
ГибридmiddleМосква
Poland; Czechia; Bulgaria; Croatia; Romania; France
Автоотклики