Задачи:
— Продуктизация ML-моделей и пайплайнов
— Интеграция моделей в backend и бизнес-контуры
— Разработка API и сервисов для ML
— Работа со стримингом данных (Kafka)
— Участие в RnD и пилотировании новых ML-решений
Требования:
— Опыт разработки на Python от 3–4 лет
— Высшее образование (законченное)
— Опыт работы с ML-проектами (CV, NLP, RAG)
— Опыт разработки REST API (FastAPI / Flask)
— Опыт работы с Kafka
— Понимание микросервисной архитектуры и сетевого взаимодействия
— Базовое понимание Kubernetes
— Опыт работы с SQL на среднем уровне
— Умение работать с кодом Data Science и адаптировать его под production
Будет плюсом:
— Опыт работы с Airflow
— Опыт работы с Hadoop / Spark
Условия:
— ДМС со стоматологией
— Компенсация фитнеса
— Скидки на курсы английского (Skyeng) и в кино
— Индексация зарплаты
— Современная техника для работы
— IT-аккредитация
Задачи:
— Разработка desktop приложений на TypeScript + React (Electron / Tauri).
— Работа с Node.js, WebSocket, стримингом и очередями.
— Интеграция топовых AI-провайдеров и работа с локальным инференсом.
— Создание функционала AI-агентов (tool calling, automation, sub-agents).
— Интеграции с Telegram, Discord, Slack и WhatsApp.
— Релизы, CI/CD и обеспечение качества продукта.
Требования:
— 2+ года коммерческого опыта с TypeScript, Node.js и React.
— Реальный опыт работы с Electron или Tauri.
— Уверенное владение WebSocket, Docker и GitHub Actions.
— Активное использование AI-инструментов в работе.
— Английский для чтения документации и рабочих задач.
Будет плюсом:
— Знание Python (FastAPI), MCP и опыт LLM-интеграций.
— Опыт с Playwright или нативными API macOS/Windows.
Условия:
— Работа в офисах в Санкт-Петербурге и Москве.
— 28 дней отпуска.
— Компенсация профессионального обучения и курсов.
— Гибкое начало рабочего дня.
— Работа над передовым продуктом в сфере искусственного интеллекта.
— Постоянный обмен опытом и возможность быстрого роста.
Location: Latin America
Company Intro
At
Toloka AI
we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds,
representing over
100 countries and speaking 40+ languages
. We are a well-funded startup with an enviable portfolio of clients including
Anthropic
,
Amazon
,
Microsoft
,
Poolside
,
Recraft
, and
Shopify
.
Recently, we secured strategic investment led by
Bezos Expeditions
and
Nebius Group
with participation from
Mikhail Parakhin
,
CTO of Shopify
and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world:
USA
,
UK
,
the Netherlands
,
Israel
,
Czech Republic
,
Serbia
, and more.
About the Role
Technical consultants
play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us.
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions.
We are looking for a person with more than
3 years
of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team.
Responsibilities
1. Client Ownership & Communication
Act as the primary technical point of contact for customers across technical and executive stakeholders.
Lead discovery conversations to deeply understand client goals, problems and quality criteria.
Translate client needs into clear, actionable solution designs and delivery plans.
Advise customers on best practices in data collection, data quality, evaluation, and model training workflows.
Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently.
Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions.
2. Solution Design & Delivery
Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls.
Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation.
Run experiments and pilots to validate quality, throughput, and cost assumptions.
Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed.
Ensure solutions meet agreed quality, performance, and scalability requirements.
3. End-to-End Ownership & Project Management
Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency.
Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations.
Prioritize work based on customer impact and business value.
Analyze data to identify failure modes, inefficiencies, and opportunities for improvement.
Continuously optimize solutions through iteration, automation, and adoption of new technologies.
Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams.
Drive solutions toward stable operation with minimal ongoing maintenance.
Requirements
Core Experience
Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager.
Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management.
Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration).
Technical Skills
Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask).
Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus.
Experience designing multi-stage pipelines and complex systems.
Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc..
Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations.
Ability to reason about trade-offs between quality, speed, cost, and scalability.
Communication & Ownership
Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences.
Confidence working with data engineers, ML engineers, and researchers from leading tech companies.
Strong ownership mindset: comfortable being accountable for outcomes, not just tasks.
Ability to manage multiple projects in fast-paced, ambiguous environments.
Nice to have
Experience with crowdsourcing, expert workflows, or large-scale data labeling.
Experience working on ML training, evaluation, or agentic systems.
Familiarity with quality frameworks, audits, or data validation pipelines.
[Important Notice] Scam Alert Regarding Fake Job Postings
It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:
Official Communication:
Our recruiting team will
only
contact you from an official "
toloka.ai
" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
Our Process:
We will
never
ask for your bank account details, credit card number, or any fees as part of the application or interview process.
Official Listings:
All legitimate job openings are posted on our official careers page:
https://toloka.ai/careers#job-list
What to do:
If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at
security@toloka.ai
and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!
Основные направления:
— Продуктизация ML-моделей и пайплайнов
— Интеграция моделей в backend и бизнес-контуры
— Разработка API и сервисов для ML
— Работа со стримингом данных (Kafka)
— Участие в RnD и пилотировании новых ML-решений
Обязанности:
— Продуктизация и внедрение ML-моделей в production
— Рефакторинг кода от DS-команд под production-стандарты
— Разработка backend-сервисов и REST API для ML-решений
— Интеграция сервисов через Kafka и микросервисную архитектуру
— Участие в построении и развитии ML-пайплайнов
— Взаимодействие с DS, MLOps и аналитиками
— Участие в архитектурных решениях и RnD-задачах
Требования:
— Опыт разработки на Python от 3–4 лет
— Обязательно высшее образование (законченное)
— Опыт работы с ML-проектами (CV, NLP, RAG)
— Опыт разработки REST API (FastAPI / Flask)
— Опыт работы с Kafka
— Понимание микросервисной архитектуры и сетевого взаимодействия
— Базовое понимание Kubernetes
— Опыт работы с SQL на среднем уровне
— Умение работать с кодом Data Science и адаптировать его под production
Будет плюсом:
— Опыт работы с Airflow
— Опыт работы с Hadoop / Spark
Условия:
-ДМС со стоматологией
-Компенсация фитнеса
-Скидки на курсы английского (Skyeng) и в кино
-Индексация зарплаты
-Современная техника для работы
-IT-аккредитация
Задачи:
— Проектирование и разработка микросервисов на FastAPI с применением принципов DDD.
— Разработка структуры баз данных (PostgreSQL) и написание эффективных запросов через SQLAlchemy, включая асинхронность.
— Внедрение кэширования (Redis) и реал-тайм функций (WebSockets).
— Упаковка сервисов в Docker-контейнеры и их развёртывание на Linux-серверах с Nginx.
— Работа с Git (ветки, pull requests) и участие в поддержке CI/CD пайплайнов.
— Написание чистого, масштабируемого, поддерживаемого и тестируемого кода (Clean Code).
Требования:
— Уверенное владение Python и опыт разработки REST API на FastAPI.
— Отличное знание PostgreSQL и опыт работы с SQLAlchemy, включая асинхронность.
— Практический опыт работы с Redis и WebSockets.
— Понимание микросервисной архитектуры (Microservices) и принципов DDD.
— Опыт работы с Docker, Docker Compose, Git и пайплайнами CI/CD.
— Уверенная работа в Linux/Ubuntu, базовая настройка Nginx.
— Умение писать тестируемый, поддерживаемый и масштабируемый код.
Условия:
— Интересные проекты с микросервисной архитектурой.
— Возможность прокачать навыки в Python, FastAPI, PostgreSQL, Redis и DevOps.
— Работа в профессиональной и дружной команде.
— Корпоротивное питание.
— Конкурентная заработная плата и перспективы карьерного роста.
— Официальная трудоустройство.
Location: Salt Lake City, Utah, United States
About the Role
iCapital’s Distributed Ledger Technology team is looking to hire a Senior Blockchain Backend Engineer to develop an industry-wide distributed ledger solution for the alternative investment ecosystem to facilitate access to private markets investments for advisors and their high-net-worth clients using innovative technology solutions. The ideal candidate is able to understand complex business problems, scope projects, identify business opportunities, optimize workflows, and communicate their findings across all levels of the organization. This role is highly visible and involves working closely with other teams in Engineering, Product, senior leadership, and industry partners.
Responsibilities
Design and implement a private and permissioned distributed ledger using DAML or Canton and other open source blockchain frameworks.
Build and maintain a RESTful API using Python and FastAPI.
Provide technical leadership to motivate and guide team members and mentor junior engineers.
PArticipate in daily stand-up meetings and peer code reviews as part of the standard SDLC.
Stay current with the latest developments in blockchain technology and incorporate them into the iCapital ecosystem.
Qualifications
5+ years software engineering experience building enterprise SaaS cloud-based solutions
2+ year technical leadership and management experience
Experience with DAML, Solidity, or other blockchain programing languages
Experience with Python, Toke and FastAPI
Demonstrated understanding of relational database concepts and modeling practices
Experience building APIs for large scale applications using AWS
Benefits
The base salary range for this role is $120,000 to $145,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Beograd, Serbia
Workplace: remote
Novakid is an online English platform for kids — 100,000+ students, 2,500+ teachers, 15+ countries. Live classes run around the clock across time zones, which sets the technical bar: low latency, high availability, and a backend that holds up at real scale.
We’ve built a working platform. The next chapter is making deliberate architectural choices about how it should evolve.
The role
We’re hiring a Principal Backend Engineer to take ownership of backend architecture as a hands-on technical leader. No direct reports. About half your time is in the code — reference implementations, critical components, refactors. The other half is the harder work: deciding what to build, what to buy, what to defer, and why.
Our backend today is a Python core (FastAPI, SQLAlchemy, Celery, Postgres, Redis), surrounded by services and event-driven flows, with a growing AI layer. It runs primarily on AWS, with GCP for data and AI workloads. There are real architectural questions to answer: how to evolve the monolith, how to set service boundaries, how to design for geo-distribution as we grow, and how to integrate AI without accumulating debt. We’re looking for someone who treats those questions seriously — researches before deciding, thinks in tradeoffs, writes things down.
What you’ll work on
Backend architecture standards and major technical decisions across teams
The path from monolith toward a more modular, service-oriented backend
Service blueprints: API conventions, EDA patterns, testing, observability, deployment
Cloud architecture across AWS (primary) and GCP, including multi-region and geo-distributed designs
High-load, real-time systems: live class infrastructure, latency budgets, caching, capacity
Buy vs. build vs. assemble — knowing when a managed service, a no-code tool (Retool, n8n), or an agentic-coding POC (Claude Code, Cursor) is the right call, and when it isn’t
Production code: components, refactors, POCs, and selected product-critical features
What we’re looking for
7+ years of backend engineering, deeply hands-on in Python
Production experience with FastAPI, SQLAlchemy, Celery, Postgres, Redis
Strong AWS architecture experience (EKS, Lambda, RDS, SQS/SNS/EventBridge, and so on); working knowledge of GCP a plus
Experience designing high-load, latency-sensitive, and geo-distributed systems
Pragmatic judgment on buy vs. build vs. assemble — managed services, no-code, and agentic tooling as first-class options, not shortcuts
A deliberate working style: you research, weigh tradeoffs, document decisions, and explain them clearly to engineers and non-engineers alike
Nice to have
LLM integrations in production (OpenAI, Anthropic, Google AI) — evaluation, cost, reliability
Active use of agentic coding tools (Claude Code, Cursor) as part of how you ship
EdTech or other high-scale consumer platforms
Stack
Python · FastAPI · SQLAlchemy · Celery · Postgres · Redis · Kubernetes (EKS, GKE) · AWS · GCP · SQS/SNS/EventBridge · Pub/Sub · OpenAI · Anthropic · Google AI
What we offer…
Fully remote work (core hours GMT+3).
A chance to shape the future of AI-driven education.
A fun, dynamic team that loves building innovative products.Unlimited holidays – because we trust you to deliver.
Bonuses and stock options – we grow together.
Location: USA
Company Intro
At
Toloka AI
we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds,
representing over
100 countries and speaking 40+ languages
. We are a well-funded startup with an enviable portfolio of clients including
Anthropic
,
Amazon
,
Microsoft
,
Poolside
,
Recraft
, and
Shopify
.
Recently, we secured strategic investment led by
Bezos Expeditions
and
Nebius Group
with participation from
Mikhail Parakhin
,
CTO of Shopify
and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world:
USA
,
UK
,
the Netherlands
,
Serbia
, and more.
About the Role
Technical consultants
play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us.
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions.
We are looking for a person with more than
3 years
of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team.
Responsibilities
1. Client Ownership & Communication
Act as the primary technical point of contact for customers across technical and executive stakeholders.
Lead discovery conversations to deeply understand client goals, problems and quality criteria.
Translate client needs into clear, actionable solution designs and delivery plans.
Advise customers on best practices in data collection, data quality, evaluation, and model training workflows.
Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently.
Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions.
2. Solution Design & Delivery
Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls.
Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation.
Run experiments and pilots to validate quality, throughput, and cost assumptions.
Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed.
Ensure solutions meet agreed quality, performance, and scalability requirements.
3. End-to-End Ownership & Project Management
Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency.
Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations.
Prioritize work based on customer impact and business value.
Analyze data to identify failure modes, inefficiencies, and opportunities for improvement.
Continuously optimize solutions through iteration, automation, and adoption of new technologies.
Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams.
Drive solutions toward stable operation with minimal ongoing maintenance.
Requirements
Core Experience
Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager.
Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management.
Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration).
Technical Skills
Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask).
Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus.
Experience designing multi-stage pipelines and complex systems.
Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc..
Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations.
Ability to reason about trade-offs between quality, speed, cost, and scalability.
Communication & Ownership
Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences.
Confidence working with data engineers, ML engineers, and researchers from leading tech companies.
Strong ownership mindset: comfortable being accountable for outcomes, not just tasks.
Ability to manage multiple projects in fast-paced, ambiguous environments.
Nice to have
Experience with crowdsourcing, expert workflows, or large-scale data labeling.
Experience working on ML training, evaluation, or agentic systems.
Familiarity with quality frameworks, audits, or data validation pipelines.
What we can offer
Full-time independent contractor engagement (B2B)
through the
Ontop
contractor platform
, working via your own company or business entity;
Flexible, fully remote schedule (
40 hours per week
);
Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts;
Projects with customers that are AI industry leaders and well-known household names;
Friendly community.
[Important Notice] Scam Alert Regarding Fake Job Postings
It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:
Official Communication:
Our recruiting team will
only
contact you from an official "
toloka.ai
" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
Our Process:
We will
never
ask for your bank account details, credit card number, or any fees as part of the application or interview process.
Official Listings:
All legitimate job openings are posted on our official careers page:
https://toloka.ai/careers#job-list
What to do:
If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at
security@toloka.ai
and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!
To learn how we collect, use, disclose, and store personal data, check out our
Privacy Notice
.
О ПРОЕКТЕ
Match Systems создает мощные экосистемы для криптоплатежей и передовые AML-комплексы (анализ и трекинг транзакций). Мы работаем на острие технологий, помогая делать блокчейн прозрачным и безопасным.
ВАШИ КЛЮЧЕВЫЕ ВЫЗОВЫ
— Highload Engine: Проектирование и развитие сверхнагруженных backend-сервисов на Python.
— Optimization: Поиск и устранение узких мест в производительности систем.
— Scalability: Масштабирование архитектуры для обработки огромных массивов данных.
— Quality: Проведение Code Review и внедрение культуры тестирования (Unit, Integration).
— Cross-Team: Синхронизация с командами для внедрения надежных решений.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Solid Experience: 7+ лет в разработке на Python.
— FastAPI Pro: Глубокие знания и опыт работы с фреймворком.
— Asynchronous Master: Экспертное владение asyncio, threading, multiprocessing. Вы понимаете влияние GIL и знаете, когда выбрать I/O-bound или CPU-bound подход.
— Messaging: Уверенная работа с Kafka и RabbitMQ (понимание разницы между FIFO/LIFO и Pub/Sub).
— Protocols: Опыт разработки RESTful API, работа с gRPC и RPC.
— Database Skills: Владение PostgreSQL и мастерство использования ORM.
— Domain: Опыт в Crypto / Blockchain или разработке торговых ботов будет вашим преимуществом.
ПОЧЕМУ ЭТО КРУТО?
— Global Presence: Возможность работать из любой точки мира или наших хабов (Дубай, Сингапур).
— Complex Tasks: Реальные вызовы в одной из самых востребованных ниш (AML и блокчейн-безопасность).
— Hardcore Team: Работа в команде топовых экспертов отрасли.
— Growth: Профессиональный рост в среде, где технологии меняются каждый день.
Location: Ukraine; Spain; Poland; Portugal; Romania
About Us
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
Now we are looking for a
Senior ML Operations Engineer
to join us as part of our team.
About the role
As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems.
About the project
PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.
Team composition
1 Engineering Manager, 4 Senior ML Ops Engineers
Work Environment
The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.
As a qualified expert, You will
Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation.
Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment.
Provide mentorship, technical guidance, and perform code reviews for team members.
Design and deliver on projects end-to-end with little to no guidance.
Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC.
Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities.
Support the vision and values of the company through role modeling and encouraging desired behaviors.
Participate in various cross-functional company initiatives and projects as requested.
Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.
Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.
We’re looking for you if you have
Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
4+ years of experience designing and building distributed software systems and architectures.
3+ years of hands-on experience deploying and operating Machine Learning services in production.
Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
Demonstrated experience with SQL and NoSQL database design and implementation.
Ability to decompose complex problems into iterative, well-defined solutions.
Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
Ability to be a team player who can also work independently.
Experience working across multiple development teams is a plus.
Bonus points
Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
Proficiency in GitOps practices and CI/CD pipeline development and management.
Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
API development with FastAPI or similar frameworks.
Java programming experience is a plus.
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.
Embrace the opportunity for personal and professional growth
Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.
Feel cared about
Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.
Interview steps
Interview with the recruiter
Live Coding (up to 30 min)
Tech Interview: ML Fundamentals, Software Engineering (up to 60 min)
ML System Design Interview (up to 45 min)
Interview with Engineering Manager (60 min)
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
As a Product Backend Engineer on Harvey’s product engineering team, you will design and operate the backend systems that turn cutting-edge AI capabilities into seamless, dependable product experiences. You’ll build secure, multi-tenant services, orchestrate interactions with LLMs and agentic tools, and help define the backend architecture that powers Harvey’s rapidly expanding product surface. Your work will have immediate business and customer impact as you ship the foundational systems behind our next generation of AI products.
WHAT YOU'LL DO
- Collaborate closely with Product to prioritize customer-focused work and deliver reliable features quickly in a fast-moving environment.
- Design and own backend services and APIs that power Harvey’s web applications, workflows, and integrations.
- Model and manage data in Postgres and related data stores to support low-latency, reliable user experiences.
- Build secure, multi-tenant, permissions-aware systems with appropriate auditing for enterprise and government customers.
- Implement backend features and workflows that use LLMs and agentic tools, orchestrating calls to our AI systems from robust, well-structured services.
- Collaborate with frontend, product, and design partners to shape solutions, define clear API contracts, and ship features end-to-end.
- Add meaningful logging, metrics, and tracing so services are observable, debuggable, and ready for on-call ownership.
- Improve performance and scalability by profiling bottlenecks, tuning queries, and refining service boundaries as usage grows.
- Participate in code reviews, technical design discussions, and an on-call rotation for the services you own.
WHAT YOU HAVE
- 6+ years of backend engineering experience building and operating production web applications or SaaS products.
- Track record of building fast-growing SaaS products by leveraging PWA technologies
- Track record of shipping highly intuitive products, strong attention to detail
- Strong programming skills in Python and experience with a modern web framework (e.g., FastAPI or Flask).
- Hands-on experience with relational databases (e.g., Postgres)
- Solid understanding of API design, authentication/authorization, background job patterns, and robust error handling.
- Experience building for Cloud Infrastructure such as Azure, AWS, or GCP.
- Comfort operating services in production using logs, metrics, dashboards, and alerts, including participation in an on-call rotation.
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-DM1
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
О РОЛИ
Мы ищем опытного backend-разработчика для усиления Web3-направления. Роль предполагает проектирование архитектуры, разработку ключевой серверной логики и развитие масштабируемых API. Основной фокус — производительность и устойчивость системы при работе с блокчейн-сервисами.
ОСНОВНЫЕ ЗАДАЧИ
— Проектирование и реализация сложной backend-логики на Python.
— Развитие API и глубокая интеграция с внешними Web3-сервисами.
— Оптимизация производительности и устойчивости высоконагруженных компонентов.
— Участие в принятии ключевых архитектурных и технических решений.
ТРЕБОВАНИЯ К КАНДИДАТУ
— Опыт разработки на Python (FastAPI) от 1,5 лет.
— Практический опыт работы с брокерами сообщений (Kafka) и кэшированием (Redis).
— Опыт реализации межсервисного взаимодействия через gRPC.
— Глубокое понимание микросервисной архитектуры и проектирования REST API.
— Наличие завершенных проектов в сфере Web3.
— Уверенное владение Django (ORM, middleware, management commands).
БУДЕТ ПРЕИМУЩЕСТВОМ
— Опыт работы с Docker и понимание принципов CI/CD.
— Навыки оптимизации высоконагруженных (highload) систем.
— Опыт работы с асинхронными фреймворками (ASGI).
УСЛОВИЯ РАБОТЫ
— Участие в разработке инновационных масштабируемых сервисов.
— Реальная возможность влиять на архитектурный облик продукта.
— Конкурентная заработная плата в стабильной валюте.
— Работа в сильной инженерной команде с возможностью профессионального роста.
Jetlyn разрабатывает комплексную CRM-экосистему для крупного застройщика.
Требования:
— Коммерческий опыт backend-разработки на Python от 3 лет
— Уверенное владение FastAPI и Django, глубокое понимание asyncio для высококонкурентных задач
— Опыт проектирования и реализации сервисов с нуля (архитектура, БД, API, деплой)
— Твёрдое понимание алгоритмов и структур данных, умение выбирать оптимальные решения под нагрузку
— Опыт написания тестов (pytest/unittest), соблюдения принципов чистого кода и code review
— Понимание REST API, работы с реляционными БД, брокерами сообщений и кэшем
— Готовность брать ответственность за фичу от постановки задачи до stable-релиза
Задачи:
— разработка и внедрение AI-агентов
— помощь в разработке и внедрении AI-агентов другим командам
— выработка стандартов и best practice
— построение архитектуры агентного ландшафта канала
Требования:
— опыт разработки на Python от 2х лет
— знание framework: FastAPI, FastStream, aiohttp, asyncio, grpcio
— работа с: Kafka, redis/memcache/ignite, Kubernetes/docker/podman, sql (желательно postgre), elasticsearch/opensearch, git
— умение применять: менеджеры пакетов (poetry/uv), линтеры (flake8, ruff, mypy), тестовые фреймворки (pytest)
— владение паттернами надежности и отказоустойчивости, микросервисной архитектуры
— опыт оптимизации кода и code-review
— уверенное пользование ОС семейства Unix систем
Условия:
— комфортный современный офис на м.Кутузовская
— формат работы офис на время адаптации, далее гибрид
— ежегодный пересмотр зарплаты, годовая премия
— корпоративный спортзал и зоны отдыха
— более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
— расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
— бесплатная подписка СберПрайм+
— скидки на продукты компаний-партнеров
— вознаграждение за рекомендацию друзей в команду Сбера.
Location: Global
Talent is everywhere, opportunity is not. Sora Union changes that.
Sora Union
is a globally distributed professional services company that specializes in Design, Software Engineering, QA. Our experienced talent comes from communities where there is displacement or risk of displacement due to conflict or climate change. We provide services to global companies and start-ups across various industries, including healthcare, financial services, technology, and education.
We are seeking a Forward Deployed Engineer to join our growing team, where you will act as an internal entrepreneur, driving AI initiatives from ideation to production both internally and for our customers.
As a FDE, you will work closely with the Engineering , Product/Brand Design, and QA teams.
You'll be responsible for:
Customer-Facing AI Solutions: Act as the primary technical partner for customers, translating operational needs into production-grade AI experiences.
End-to-End Implementation: Own projects entirely, from data cleaning and prototyping to full deployment, monitoring, and debugging in customer environments.
Performance Optimization
:
Implement model compression, quantization, and efficient serving techniques to meet strict latency and throughput requirements for customer-facing applications.
Advanced Prompt Engineering & LLM Customization: Develop sophisticated prompt chaining, self-correction mechanisms, and context management strategies (e.g., using RAG architectures) to enhance LLM application performance and accuracy.
Ideally, you'll have:
AI/ FDE Development Experience: 3+ years of experience building and deploying production-level AI/ML models.
MLOps Tooling: Hands-on experience with MLOps platforms and tools such as MLflow, Kubeflow, or Weights & Biases for experiment tracking and model registry.
Technical Proficiency: Strong expertise in Python and deep learning frameworks (TensorFlow, PyTorch), along with experience in LLM orchestration frameworks (e.g., LangChain, LlamaIndex).
Data Engineering/API Skills: Proven ability to build and maintain high-performance, low-latency RESTful APIs (e.g., using FastAPI or Flask) for serving models, and strong proficiency in SQL/NoSQL databases for data integration.
Customer-Facing Experience: Proven ability to work directly with stakeholders to define requirements and deliver value, ideally in a consulting or specialized engineering role.
Deployment Expertise: Experience containerizing models (Docker) and deploying to cloud environments (AWS, GCP, or Azure).
Entrepreneurial Mindset: Ability to thrive in a fast-paced environment, taking initiative to solve ambiguous problems
Sora Union is committed to creating and fostering a diverse team. We encourage people from underrepresented backgrounds and all walks of life to apply. We are committed to providing reasonable accommodations to all applicants throughout the application process.
О компании и команде ITK-акдемия – резиденты инновационного центра «Сколково». Сейчас у нас открыта вакансия Junior Python Developer. Мы открыты для рассмотрения кандидатов, которые могут не иметь практического опыта, но обладают прочной теоретической базой и стремлением развиваться в нашей области. Если вы уверены в своих знаниях и готовы применять их на практике, мы будем рады видеть вашу кандидатуру.
Ожидания от кандидата:
— python - базовый уровень
— опыт написания REST приложений на каком-либо асинхронном python фреймворке (например, FastAPI), либо готовность освоить его базовый
— SQL
— опыт написания unit тестов
— опыт работы с git
— docker + compose (технология контейнеризации)
Условия работы:
— График 5/2, возможность гибкого утра
— Возможность работы в удаленном формате
— Долгосрочное сотрудничество (12 месяцев)
— Трудоустройство в аккредитованную IT-компанию
— Профессиональное дообучение по внутренней программе (практическая помощь в улучшении навыков)
— Помощь технического специалиста для решения возникших вопросов
— Возможность постоянного развития
Location: Remote - Bulgaria
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're hiring a
Senior Analytics AI Platform Engineer
with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.
This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in
BigQuery
and
MariaDB
, building automation and tooling in
Python
, and leveraging AI-powered tools like
Windsurf, Gemini,
and
Claude
to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.
You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.
Key Responsibilities
Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
Map and improve business processes through data-driven analysis and process design
Requirements & Qualifications
7+ years
of professional experience in data science, advanced analytics, or a quantitative field
Expert-level SQL
- deep fluency in
BigQuery
and
MariaDB
or similar data platforms; you understand query optimization, partitioning, and data modeling
Strong Python and/or JavaScript skills
- production-quality code, not just notebooks; experience with modern data and ML libraries
Deep understanding of analytical methods
- regression, clustering, time series, A/B testing, classification; you know when to apply what and why
Solid understanding of data architecture
- how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
Proficiency with AI-powered development tools
- Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
Excellent communication skills - you present complex technical work in a way that drives decisions
Self-managing and self-sufficient
- you set your own priorities, unblock yourself, and deliver without hand-holding
Relentlessly curious and ambitious
- you're always learning, always building, always improving
A public GitHub profile
showcasing your projects, experiments, or contributions
Nice to Have
Experience with Next.js
or modern frontend frameworks for building data-facing applications
FastAPI experience for serving models or internal tooling
Background in business process analysis or operational process design
Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
Experience with JSON-based data formats, APIs, and integration patterns
Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Benefits & Culture
Globally distributed team environment
Remote or hybrid work options (location-dependent)
Challenging projects with company-wide impact
Competitive compensation, 25 days paid annual leave, plus holidays
A culture that values curiosity, clean engineering, and people who genuinely love what they do
Location
– Bulgaria (remote)
Travel
– Flexible for adhoc travel
Compensation
Salary Range
:
34,000 - 38,500 EUR per year (gross)
Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework.
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
MariaDB does not sponsor work visas or relocation.
MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Latin America
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоBeograd, Serbia; Live classes run around the clock across time zones, which sets the technical bar: low latency, high availability, and a backend that holds up at real scale; Fully remote work (core hours GMT+3)
USA
УдалённоseniorUkraine; Spain; Poland; Portugal; Romania
ГибридseniorBengaluru
Можно работать из любой страны
УдалённоseniorRemote - Bulgaria; MariaDB does not sponsor work visas or relocation
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