Разработка вакансии - гибрид

• Есть 7+ лет в Android-разработке, опыт в продуктовой компании и на высоконагруженных проектах / продуктах с большой аудиторией. • Есть опыт управления командой разработчиков.

Задачи: — Отвечать за целостность решений на ландшафте 1С:ERP + WMS + интеграции, стандарты разработки и кода, ревью крупных решений, выбор пути развития ERP — Устанавливать стандарты разработки и кода, вести код-ревью проектной разработки — Проводить архитектурную экспертизу и приёмку значимых решений независимо от разработки — Определять путь развития ERP: оптимизация против рефакторинга/замены — Владеть интеграционным ландшафтом 1С ERP и другим решениями на платформе 1С, обмен с маркетплейсами и прочими внешними системами по API — Задавать требования к нагрузочному тестированию Требования: — Опыт архитектора 1С или ведущего разработчика с архитектурными задачами — от 5 лет — Целостное проектирование решений на 1С:ERP уровня крупного внедрения — Стандарты разработки, код-ревью, управление техническим долгом — Понимание интеграционных механизмов 1С и внешних систем — Умение грамотно вести проектную документацию Условия: — Полная занятость — График: 5/2 — Формат работы: удалённо или гибрид

Location: New York; New Jersey Workplace: hybrid Provectus is a Premier AWS partner and an Anthropic Preferred Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each rebuilds a critical business process front to back, shipped from working code. You'll learn the customer's job before you automate it. Most AI projects fail the same way: someone gathers requirements, someone writes a spec, and a team ships a workflow nobody uses. We think the requirements step is the bug. So we remove it. As an Associate Forward Deployed Engineer, you'll join each engagement paired with a Senior FDE. Together you'll spend time alongside the client to understand their workflow and business needs. Then you'll help rebuild that work from first principles, and write real production code for it. You won't start from zero: every engagement begins from a Blueprint that has already shipped for a customer in that industry, and what you learn in the field goes back into it. This role is for early-career engineers who want to learn how AI gets deployed in the real world — and who'd rather learn by building than by watching. What You'll Need: A degree in computer science, engineering or another STEM field 0–2 years of experience; internships, co-ops and research You built projects, where you integrated AI as a part of your SDLC (internship, research or hackathon entry) that you can walk us through in depth: what worked, what broke, and what you'd change Hands-on Claude Code basics Strong programming fundamentals in Python or TypeScript Curiosity and speed of learning — you pick up unfamiliar subjects quickly and ask good questions, especially about how real businesses work Good commication skills - ability to explain complex technical subjects to non-engineers Willingness to spend real time learning a client's job before you write code. It's the most unusual part of this role, and the most valuable Location & Work Arrangement: This role requires working on-site from our New York office 3 days per week Great If You Have: Cloud basics: AWS/Azure/GCP, containers, CI/CD AI/ML coursework or foundations Comfort with ambiguity — our engagements start open-ended by design Interest or coursework in financial services, insurance, healthcare or asset management Data pipelines or SQL; classical ML or MLOps (PyTorch, SageMaker, MLflow); infrastructure-as-code Open-source contributions, hackathon projects or public writing on applied AI Claude certification or AWS certification What You'll Learn: How to deploy LLM and agentic systems into regulated production — banks, insurers, health systems How to build evaluation harnesses: defining what "working" means, then measuring it Cloud delivery on AWS Claude Code in production, working toward Claude certification A real business domain — insurance underwriting, healthcare revenue cycle, asset management How to work with clients: their operators, engineers and executives Your first 90 days: Foundations — onboarding into our Blueprints, our delivery stack (Claude Code, AWS) and how we build evals, plus a primer on your first client's industry The seat — join an engagement with your senior FDE. Shadow the operator, then do the work yourself Your first piece — own a scoped part of a production system, with code review and your senior FDE beside you What You'll Do Take the seat — learn a client's function from the inside, and help redesign it alongside your senior FDE and the Forward Deployed Executive Build — ship production code for LLM applications, agentic workflows, and retrieval and extraction pipelines Build the evaluation harness before the feature — define what working means, then measure it Take systems to production on AWS, and feed what you learn back into the Blueprint Grow into ownership — your team is measured by the client's business results, not by hours. Drive adoption, because a system nobody uses hasn't shipped — and build credibility with the client's engineers and operators What you'll get: A senior FDE paired with you on every engagement, a named mentor accountable for your growth Regular feedback and a clear path to Forward Deployed Engineer Frontier delivery work across Cowork Activation, Agentic SDLC and Blueprint Activations in Financial Services and Healthcare Real production experience in regulated industries most early-career engineers never see Opportunity to work with cutting-edge AI and cloud solutions Full-time model Unlimited Vacation policy Generous health, vision, and dental insurance 401(K) matching plan Salary base range: $120-145k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. How We Hire Technical task — Complete a practical engineering task to demonstrate your programming fundamentals, problem-solving skills, and ability to work with AI-powered solutions. Intro conversation — Discuss your background, projects, and what you're looking for in your next role. Task discussion — Join a discussion about your approach to the task, what you'd build next, and how you'd evaluate whether it works. No LLMs are permitted during this session. Why we ask for a task We're growing and want to find the right fit. The task is a small investment of your time that gives you an opportunity to demonstrate your engineering skills, AI maturity, and ability to think independently. It also helps us verify that we're evaluating a real person rather than a bot. We're not using your work in our products or for client projects.

-разрабатывать и поддерживать микросервисы на Java/Kotlin в рамках платформы цифрового рубля. -обеспечивать интеграцию с внешними системами через REST API и криптографические протоколы (КриптоПро).

-Разрабатывать функциональное ПО проекта на основе подробного технического задания, программировать внутреннюю логику работы и производить рефакторинг в случае необходимости. -Автоматизировать генерацию отчетов и парсинг данных.

Location: New Jersey; New York; Pennsylvania; Connecticut; Massachusetts Workplace: hybrid At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production. Then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter, without the layers, politics, and long wait for impact of a firm with a hundred thousand people. 350+ builders, 100+ customers in production, led by our founders since 2010, offices across North America, LATAM, and EMEA Why Provectus? Frontier access. Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process, not a vendor running a project alongside it. Embedded is not staff augmentation. Autonomous . You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy maintenance grind, not a single stack. Craft & growth. Build beside senior FDEs on a Claude certified team, with a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive. You are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints, working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production, not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a nondeterministic system, and you can explain what you measured and why Strong engineering fundamentals. Dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Presales experience. Credible with senior stakeholders: you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open source contributions or public writing on applied AI What We Offer: Full time On site visits to client’s facilities and our office in NYC once a week Unlimited Vacation policy Generous health, vision, and dental insurance 401(k) matching plan Base salary $180k to $200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship We’re real: A person reads your application. We filter out AI generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We’d be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Cofounder & CEO How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

🎯 Опыт разработки и внедрения комплексных мастерпланов жилых территорий, градостроительных концепций, опыт разработки мастерпланов территорий с ограниченным статусом, ЗОУИТ; 🎯 Желателен опыт работы на соответствующей позиции не менее 3-х лет;

Предстоит создавать инструменты для внутренних пользователей, разрабатывать прототипы интерфейсов и участвовать в проектировании API вместе с бэкенд-разработчиками. Среди задач также развитие существующего кода, его ревью и оптимизация производительности.

🚀 The Adventure Ahead As a founding member of our Forward Deployed Engineering (FDE) team, you will bridge the gap between cutting-edge AI technology and real-world impact. You will work hand-in-hand with our most forward-thinking, strategic customers to transform complex L&D workflows into autonomous, high-impact AI agents.

* Own delivery of key features end-to-end across the technology stack from building detection for emerging cyber attack patterns and large scale data processing to building intuitive, high quality user experiences. * Contributing to team processes and practices to help us scale the team and product.

Чем предстоит заниматься Развивать архитектуру фронтенда. Определять структуру приложений, подходы к управлению состоянием, работе с данными и переиспользованию компонентов.

Чем предстоит заниматься: проектировать новые сервисы и прорабатывать технические решения «с нуля»; писать лаконичные SQL-запросы (ORM — не наш путь) и выжимать максимум из PostgreSQL, ClickHouse, ElasticSearch;

Проектирование и разработка control-plane компонентов платформы на Python/Go: API эндпоинтов, сервисов управления состояниями, планировщиков асинхронных операций. Разработка и поддержка агентов автоматизации жизненного цикла бэкапов PostgreSQL-кластеров:

Декомпозировать существенные доработки системы на подзадачи; Реализовывать новый функционал в рамках сформулированных задач, требований и принятых в команде стандартов;

- Разработка в среде 1С:Предприятие (КА, БП, WMS, ЗУП) по ТЗ; - Написание отчетов на СКД, внешних печатных форм, обработок;

разрабатывать и развивать frontend-часть веб-приложений с использованием JavaScript, React, Redux. участвовать в проектировании архитектуры frontend-решений, выборе технических подходов и оптимизации существующего кода.

-Разработка frontend с использованием Qt. -Поддержка текущих версий ПО.

Ищем продуктового инженера-лидера: вы будете лично разрабатывать на React и TypeScript, руководить инженерной командой и улучшать пользовательский путь. Главный результат вашей работы — рост доли пользователей, получивших полезный результат: расчёт, план или документ.