Location: Ukraine; Spain; Serbia; Yerevan; Poland
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. 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 Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership.
Requirements:
Mindset
Proactive and self-directed; you push for clarity rather than waiting for a ticket.
Excellent communication and problem-solving skills.
Comfortable with some ambiguity, with support from senior team members as you take on more.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting.
Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support.
Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore .
Some experience with containers and CI/CD in real projects.
Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end.
Basic working knowledge of model/agent monitoring concepts.
Awareness of cost and latency trade-offs when working with LLMs.
Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly.
Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects.
2+ years of software or ML engineering experience, including some exposure to production systems.
Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes.
Nice to Have:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications (or actively pursuing them).
A2A: Interest in agent-to-agent interoperability concepts.
CI/CD pipeline experience (GitHub Actions, GitLab CI).
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа.
Experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build.
MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional plus.
Responsibilities:
Build and contribute to RAG system components under senior guidance, with growing autonomy.
Write tests and help build out evaluation harnesses for the features you work on.
Write production code across the stack (AI, backend services, data pipelines) with code review support.
Help integrate AI components into backend services and RESTful APIs.
Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time.
Contribute to documentation, runbooks, and client handover materials.
Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently.
Support model evaluation efforts and help investigate and improve failure modes.
Take on increasing ownership of components and technical decisions as you grow in the role.
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside FDE and FDX
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Задачи:
— тесное взаимодействие с бизнес-аналитиками, сбор и анализ требований к продукту с точки зрения тестирования
— тестирование серверной и клиентской части
Требования:
— опыт ручного тестирования не менее 3 лет
— понимание клиент-серверного взаимодействия
— опыт работы с системами, использующими MQ, такими как Rabbit и Kafka
Задачи:
— улучшать конверсию сайта от первого визита до регистрации и оплаты;
— анализировать данные Google Search Console и Google Analytics, связывать органический трафик с регистрациями и оплатами;
— улучшать структуру сайта, навигацию и перелинковку;
— внедрять изменения в Webflow;
— заниматься техническим SEO: индексация, sitemap, robots, canonical, редиректы, schema.org;
— развивать видимость в ChatGPT, Perplexity, Gemini и Google AI Overviews;
— собирать семантику и запускать страницы моделей, лендинги и материалы блога.
Требования:
— опыт в SEO или growth-маркетинге от года;
— умение связывать органический трафик с бизнес-конверсиями;
— знание технического SEO;
— навыки работы с семантикой и написания англоязычных текстов;
— опыт повышения конверсии, AI-поиска или работы с SaaS/API/dev-tools будет плюсом.
Условия:
— удалённая работа;
— формат занятости в заявке не уточнён.
Rapyd is looking for a Treasury Assistant to process treasury payments, prepare daily reports, reconcile cash discrepancies, and address transaction issues.
Talablar:
— Next.js bo‘yicha kamida 1 yillik tajriba talab qilinadi
— React va TypeScript bo‘yicha yuqori darajadagi bilimlar kerak
— Tailwind CSS bilan ishlash
— REST API va GraphQL bilan integratsiya qilish
— JavaScript, HTML va CSS bilimlari
— Tez moslashish va mahsulotga yo‘naltirilgan fikrlash qobiliyati
Vazifalar:
— React, Next.js va TypeScript yordamida sahifalar va komponentlar yaratish
— Tailwind CSS yordamida responsive interfeyslar ishlab chiqish
— Backend API bilan integratsiya qilish
— Formlar, validatsiya, qidiruv va filtrlash funksiyalarini yaratish
— Xatolarni tuzatish va sahifalar tezligini yaxshilash
— Code Review jarayonida ishtirok etish
Sharoitlar:
— Qulay ofisda ishlash
— Yaxshi jamoa
— Maosh tajribaga qarab kelishiladi
— Rasmiy ishga joylashish imkoniyati mavjud
Описание вакансии Junior Partnerships Manager (AI-интеграции) Pandaverse ищет Junior Partnerships Manager в команду AIMLAPI — платформы, через которую разработчики подключают сотни AI-моделей по одному API. Вам предстоит находить проекты AI-агентов и договариваться с их командами об интеграции AIMLAPI.
Мы ищем начинающего специалиста по B2B-продажам, который готов выходить на новые контакты, вести холодные продажи и выстраивать отношения с международными компаниями. — Искать потенциальных клиентов и выходить на новые контакты (холодные продажи).
You will assist with market analysis, monitor trading performance, and contribute to improving our daily operational processes. Monitor cryptocurrency prices, trading volumes, and market developments.
УдалённоjuniorFlexible working hours across different time zones
Location: Intellias
Meet your recruiter
Viktoriia Borsuk
viktoriia.borsuk@intellias.com
https://www.linkedin.com...
Vacancy details
Software Engineering
Scala Engineer
Junior
Ukraine
Remote
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We have a dream: to change industries through the power of digital technology. With a team of top-notch engineers by your side, you will develop groundbreaking solutions at Intellias. Let’s code the future together!
What project we have for you
This is your great opportunity to join a fast-growing and highly motivated team that develops a Big Data Analytics platform for geolocation data processing. The goal of this project is to create a pipeline for automated E2E data compilation, verification, and testing. The project has minimum or none legacy processes and technologies.
We are looking for a technogeek ready to tackle even the toughest technological challenges with Scala and Spark.
What you will do
Boost the effectiveness of our team by helping us optimize existing algorithms.
Develop products using Agile methods and tools
Develop commercial-grade software that is user friendly and suitable for the global B2B audience
Participate in design reviews and code reviews of your work and the work of your peer engineers
Participate in architecture and design efforts
Collaborate with other engineers to deliver high quality software on time.
What you need for this
Required skills:
1+ year of experience in Scala
Have a hands-on experience in designing and developing Big Data processing systems in the realm of Scala and Spark
Have a strong mathematical background
Be passionate about creating high-quality code and constantly improving their coding skills.
Understand and actively use best coding practices, patterns, and approaches
Have a highly developed set of analytical and communication skills
Have an ability to deal with the technical challenges
Be able to find and propose problem solutions and communicate them to the team and the stakeholders.
Ability to understand and develop low-latency, high-performance backend applications
Experience with CI/CD practices
Will be a plus:
Experience with Docker/Docker Compose and various cloud providers (AWS)
Practical experience in writing integration and unit tests
DevOps skills: Linux shell scripting, Jenkins pipelines creation
Experience with JTS or another GIS framework
Working with Google ProtoBuf
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
Scala
Spark
Zadaĵoj:
— Stabiligi ekzistantan vertikalan video-generadan pipeline
— Plibonigi enhavan kvaliton kaj viraleco, pligrandigi volumon
— Testi kaj integri novajn generativajn modelojn kaj servojn
— Krei kaj evoluigi virtualan AI-kreivan direkton
— Evoluigi analitikan panelon kaj aŭtomatigan poŝtan sistemon
Postuloj:
— Forta scio pri Python, baza scio pri Bash
— Sperto kun LLM API (Claude, OpenAI)
— Bazaj scioj pri Git, Docker kaj REST API
— Konoj pri SQL aŭ datumbazoj
— Kapablo legi teknikajn dokumentojn en la angla
— Bazoj de prompt engineering kaj agentdezajno
Kondiĉoj:
— Nova Mac laptopo, Google Workspace, Atlassian/Jira/Slack
— Profesievoluo kaj subteno por kariera kresko
— Fleksibla laborhoraro, neniu dresskodo, komforta oficejo
— Malproksima laboro
Teknologioj: Python, Bash, LLM APIs, Git, Docker, REST API, SQL, ffmpeg, GCP, Kubernetes, Datadog, OpenTelemetry