О ПРОЕКТЕ
Douro Labs — команда, стоящая за развитием Pyth Network, ведущего оракула первого уровня для DeFi. Мы создаем инфраструктуру, которая поставляет высокоточные рыночные данные в реальном времени для крупнейших протоколов. Работа у нас — это участие в Open Source проектах, которые определяют стандарты индустрии.
ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ
— Core Development: Разработка и поддержка on-chain и off-chain компонентов экосистемы (смарт-контракты, SDK, утилиты).
— Product Impact: Участие в формировании Roadmap продукта совместно с бизнес-командой.
— Developer Experience: Создание удобной документации и инструментов для сообщества разработчиков.
— Mentorship: Поддержание высоких стандартов кода и обучение младших инженеров.
— Operations: Участие в периодических дежурствах (on-call) для обеспечения стабильности сети.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Опыт: 4+ года в коммерческой разработке ПО. Опыт с safety-critical системами будет преимуществом.
— Backend Expertise: Глубокое понимание низкоуровневых языков (Rust, C++). Опыт в блокчейне желателен, но не обязателен при сильном бэкграунде в системном программировании.
— Agility: Готовность к быстрому темпу DeFi-стартапа и изучению новых технологий (Solidity, TS, Python).
— Communication: Отличные технические коммуникационные навыки для работы в международной команде.
ПОЧЕМУ ЭТО КРУТО
— Работа над ключевой инфраструктурой мирового рынка данных.
— Полная свобода в выборе локации (Remote Worldwide).
— Экспертная среда и возможность внести вклад в развитие глобальной DeFi-экосистемы.
Location: Kyiv; Zakarpattia
Workplace: onsite
Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник систем безпеки. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 дротових і бездротових пристроїв для захисту від вторгнення, а також відеоспостереження, пожежної безпеки та комфорту й автоматизації.
Наша компанія — українська історія успіху і місце неймовірної сили та енергії.
Процес виробництва забезпечують п’ять департаментів: SMT-монтажу, монтажу, напівфабрикату, тестувань та готового продукту. А також експериментально-технологічний відділ та відділ контролю якості. На виробництві встановлено сучасні SMT та конвеєрні лінії, автоматизовано ключові процеси і постійно нарощуються потужності.
Ми прагнемо до повної відповідності європейським стандартам, тому забезпечуємо вам достойні умови праці, можливості розвитку та фінансову стабільність.
У зв’язку з активним розвитком компанії, ми шукаємо SMT Process Engineer на наше виробництво.
Вимоги:
Відрядження в країну Східної Азії на 3-6-12 місяців.
Вища технічна освіта.
Базові знання технологій виробництва друкованих плат (ДП).
Базові знання в електроніці, електронних компонентах.
Досвід роботи в галузі виробництва електроніки.
Досвід роботи з ручним/автоматичним/напівавтоматичим обладнанням для монтажу ДП.
Вміння працювати з технологічною та конструкторською документацією.
Обов’язки:
Забезпечення виробництва відповідною технологічною документацією для монтажу і обробки ДП.
Оцінка ДП з точки зору виробничих процесів на етапах розробки.
Забезпечення оптимальних умови для повторюваності виробничих операцій.
Опис виробничих процесів, методик та нових практик.
Оцінка ризиків технологічних процесів.
Впровадження нових/інноваційних процесів та оптимізація існуючих.
Зменшення собівартості продукції без впливу на якість продукту.
Ключова роль опису технологій виробництва запуску нового продукту.
Підбір технологічного автоматичного/напівавтоматичного обладнання для впровадження нових/оптимізацію існуючих процесів виробництва.
Що на тебе чекає в команді Ajax:
Можливість бути частиною глобального проєкту;
Культура швидкого зворотнього звʼязку;
Конкурентна заробітна плата;
Relocation bonus;
Офіційне працевлаштування;
Курси з вивчення англійської мови;
Медичне страхування;
Якщо ти готовий приєднатися до нашої команди, надсилай нам своє резюме!
Location: Kyiv; Zakarpattia
Workplace: onsite
Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник систем безпеки. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 дротових і бездротових пристроїв для захисту від вторгнення, а також відеоспостереження, пожежної безпеки та комфорту й автоматизації.
Наша компанія — українська історія успіху і місце неймовірної сили та енергії.
Процес виробництва забезпечують п’ять департаментів: SMT-монтажу, монтажу, напівфабрикату, тестувань та готового продукту. А також експериментально-технологічний відділ та відділ контролю якості. На виробництві встановлено сучасні SMT та конвеєрні лінії, автоматизовано ключові процеси і постійно нарощуються потужності.
Ми прагнемо до повної відповідності європейським стандартам, тому забезпечуємо вам достойні умови праці, можливості розвитку та фінансову стабільність.
У зв’язку з активним розвитком компанії, ми шукаємо Process Engineer на наше виробництво.
Вимоги до кандидата:
Відрядження в країну Східної Азії на 3-6-12 місяців.
Вища технічна освіта.
Досвід роботи на виробництві не менше 2-х років.
Вміння працювати з технологічною та конструкторською документацією.
Знання методів нормування праці та методів аналізу показників з праці.
Знання систем та методів проектування технологічних процесів виробництва.
Знання методів нормування витратних матеріалів.
Обовʼязки:
Забезпечення виробництва відповідною технологічною документацією, яка надає можливість досягнення цілей виробництва.
Забезпечення оптимальних умови для повторюваності виробничих операцій.
Опис виробничих процесів, методик та нових практик.
Оцінка ризиків технологічних процесів.
Впровадження нових/інноваційних процесів та оптимізація існуючих.
Зменшення собівартості продукції без впливу на якість продукту.
Робота з омологаціями.
Ключова роль опису технологій виробництва запуску нового продукту.
Що на тебе чекає в команді Ajax:
Можливість бути частиною глобального проєкту;
Культура швидкого зворотнього звʼязку;
Конкурентна заробітна плата;
Relocation bonus;
Офіційне працевлаштування;
Курси з вивчення англійської мови;
Медичне страхування;
Якщо ти готовий приєднатися до нашої команди, надсилай нам своє резюме!
Location: Mexico; Colombia; Argentina; Brazil; Costa Rica
Our client engineers and manufactures modular infrastructure supporting backup power systems, data centers, and industrial facilities. These platforms integrate generators, cooling systems, exhaust systems, structural enclosures, and electrical infrastructure into prefabricated power modules designed for standby power, microgrids, and mission-critical applications.
Position Overview
We are seeking a
Senior Mechanical Engineer
to lead the mechanical design of modular generator systems. This role focuses on the integration and packaging of diesel or gas generator equipment, cooling systems, exhaust systems, and structural frames into factory-built modular power platforms.
The engineer will work closely with electrical engineering, manufacturing, and integration teams to deliver production-ready generator modules designed for reliability, serviceability, and efficient manufacturing.
Requirements
Design generator enclosures, equipment skids, and structural steel frames supporting large engine-driven power systems
Package engines, alternators, radiators, exhaust systems, and associated mechanical equipment within modular enclosures
Perform structural analysis of heavy equipment mounting structures, lifting frames, and transport loads
Design ventilation and airflow systems supporting generator cooling and heat rejection
Conduct CFD or airflow analysis to validate cooling performance and thermal management
Develop manufacturable weldments, sheet metal assemblies, and structural components
Design service access, maintenance pathways, and equipment layout for field operations
Coordinate mechanical systems with electrical switchgear, control panels, and cable routing zones
Support prototype builds, testing, and manufacturing integration of generator platforms
Lead root cause investigations related to vibration, structural behavior, or thermal performance
Required Qualifications
Bachelor’s degree in Mechanical Engineering
7+ years of experience in mechanical design for industrial equipment, power systems, or heavy machinery
Strong experience designing structural steel assemblies and heavy equipment packaging
Proficiency with
SolidWorks
for large assemblies and mechanical system integration
Experience with airflow, cooling, or thermal analysis for industrial equipment
Preferred Qualifications
Experience with
generator systems or engine-driven power equipment
Experience designing
modular or containerized industrial systems
Familiarity with
standby power infrastructure
, including data centers or critical facilities
Experience supporting prototype builds and manufacturing environments
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
Location: Mexico; Argentina; Colombia; Costa Rica; Brazil
We are looking for a
Senior Electrical Engineer
to lead the design of electrical systems for modular generator power platforms used in data centers, industrial infrastructure, and utility backup power applications.
In this role, you will design power distribution architecture, generator control systems, and paralleling switchgear that enable reliable standby and prime power generation. You will collaborate with mechanical engineering, manufacturing, and integration teams to deliver production-ready generator modules.
This position is ideal for engineers experienced in
power systems, generator integration, and industrial electrical design
.
Requirements
Design electrical systems for modular generator power platforms
Develop
single line diagrams, wiring schematics, and electrical layouts
Integrate generators with
switchgear, transfer switches, protection systems, and distribution equipment
Design and support
generator synchronization and load sharing systems
Develop
monitoring and control systems
for generator operation
Define
grounding strategies and protection coordination
for generator power systems
Coordinate electrical design with
mechanical packaging and modular enclosure systems
Support
commissioning, testing, and system validation
of generator power systems
Produce
production-ready electrical documentation
supporting manufacturing and deployment
Required Qualifications
Bachelor’s degree in
Electrical Engineering
8+ years of experience
in electrical power systems or generator electrical design
Strong experience with
electrical distribution systems and protection devices
Experience developing
electrical schematics, wiring diagrams, and control systems
Experience working with
industrial power equipment or generator systems
Preferred Qualifications
Experience with
standby power systems or data center backup power
Experience integrating
generator controls and paralleling switchgear
Experience with
microgrid or hybrid power systems
Experience supporting
commissioning and testing of generator power systems
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorMexico; Argentina; Colombia; Costa Rica; Brazil
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair.
This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability.
A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.
Key responsibilities
Build automation to support datacenter fleets at scale.
Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations).
Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.
Work closely with our Networking team to ensure end-to-end connectivity across all sites.
Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.
Minimum qualifications
Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.
End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.
Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP).
Ability to communicate clearly and build consensus with a wide range of stakeholders.
Comfort navigating ambiguity and making progress on complex, cross-functional problems.
Willingness to travel occasionally to datacenter sites across North America.
Preferred qualifications
8+ years of experience in datacenter infrastructure management, or a closely related discipline.
Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands.
Familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS
Experience building or contributing to datacenter automation or fleet management platforms.
Experience building and deploying server operating system distributions across large server fleets.
Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.
Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dublin, IE
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
The team has a dual mandate:
maximizing compute efficiency
to serve our explosive customer growth, while
enabling breakthrough research
by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
As a Staff Software Engineer on our Inference team
, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.
Strong candidates may also have experience with:
High-performance, large-scale distributed systems
Implementing and deploying machine learning systems at scale
Load balancing, request routing, or traffic management systems
LLM inference optimization, batching, and caching strategies
Kubernetes and cloud infrastructure (AWS, GCP)
Python or Rust
You may be a good fit if you:
Have significant software engineering experience, particularly with distributed systems
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Want to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work
Representative projects across the org:
Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users
Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
Contributing to new inference features (e.g., structured sampling, prompt caching)
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€295.000
—
€355.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Bogotá, Colombia; Buenos Aires, Argentina; Montevideo, Uruguay; Bangalore, India; Islamabad, Pakistan; Hanoi, Vietnam; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Helsinki, Finland; Athens, Greece; Zagreb, Croatia; Tbilisi, Georgia; United Kindom, United Kingdom; Dublin, Ireland; Milano, Italy; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the role:
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
About the job
You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp or similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack.
This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure.
Responsibilities
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments
Integrate AI features into existing products, enriching them with the latest advancements in machine learning
Strong programming skills in C++
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures
Experience with any GPU framework between Cuda, Vulkan, Metal, OpenCL
Good understanding of deep learning concepts and model architectures
Experience with transformers, LLMs, Diffusion models
Demonstrated ability to rapidly assimilate new technologies and techniques
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D
Bonus points if:
You know how to train/fine-tune a LLM
You have productionized models
You have research experience in new model architectures
You have experience with distributed systems
Javascript experience
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Tallinn, Estonia
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
AI Automation Engineer
to join our rapidly expanding team.
Join a high-caliber team and contribute to its success with your passion, hard work and positive attitude.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
About the Role
We’re looking for an experienced
AI Automation Engineer
to design, implement, and optimize AI-driven workflows across the organization. You’ll act as an internal consultant — understanding business challenges, proposing intelligent automation solutions, and deploying AI agents that improve efficiency, accuracy, and scalability.
This role blends technical expertise in AI and automation with strategic thinking and business understanding. It requires a high degree of autonomy and initiative. You will be expected to work independently, proactively identify opportunities, and drive solutions end‑to‑end with minimal supervision while collaborating with stakeholders as needed.
What does the role look like?
Partner with business departments to identify process inefficiencies and automation opportunities.
Design and prototype AI agentic workflows using modern frameworks and LLM-based tools.
Develop, integrate, and deploy AI agents capable of handling varied business tasks (e.g., reporting, customer communication, data processing, or internal operations).
Evaluate and benchmark AI models, frameworks, and tools to select optimal solutions.
Establish best practices for prompt engineering, context management, and workflow orchestration.
Work closely with engineering teams to ensure robust system integration, data privacy, and compliance.
Create technical documentation, user training, and playbooks for deployed AI automations.
Monitor system performance and continuously refine agent behaviors and models.
What do you need to succeed in this role?
Proven experience in building or integrating AI systems, intelligent agents, or automation frameworks.
Experience with Forex / FinTech or other similar companies supporting Sales, Marketing and Finance teams with AI.
Strong understanding of LLMs, vector databases, and agent architecture (e.g., LangChain, AutoGen, CrewAI, or custom agentic frameworks).
Programming skills in Python and familiarity with REST APIs, webhooks, and automation tools.
Ability to translate business needs into technical solutions and communicate them clearly.
Familiarity with cloud environments (AWS, Azure) and enterprise integrations in general.
Experience with RAG (Retrieval-Augmented Generation), chains, and memory management in AI systems.
Excellent problem-solving, analytical, and stakeholder communication skills.
Will be considered as a plus:
Background in machine learning, NLP, or process automation.
Experience with tools such as CLAW to support Data teams
Experience deploying production-level agentic systems or AI copilots.
Exposure to enterprise workflow automation tools (Jira, HubSpot, etc).
Understanding of data governance, model evaluation, and prompt engineering patterns.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience.
Opportunities to learn and grow through our “
Employee Training & Development program”.
Stebby Sports Compensation or Confido Health Compensation.
Multiple
events
to bond with the team and the group.
Birthday and Loyalty
benefits
.
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Limassol, Cyprus
Are you looking for the next professional
opportunity,
that will challenge you and advance your career?
Join our team now!
Tickmill
is looking to hire a
AI Automation Engineer
to join our rapidly expanding team.
Join a high-caliber team and contribute to its success with your passion,
hard
work
and
positive attitude.
We’re looking for an experienced
AI Automation Engineer
to design, implement, and optimize AI-driven workflows across the organization. You’ll act as an internal consultant — understanding business challenges, proposing intelligent automation solutions, and deploying AI agents that improve efficiency, accuracy, and scalability.
This role blends technical expertise in AI and automation with strategic thinking and business understanding.
About
Tic
kmill
.
Tickmill
is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures &
Options).
Founded in 2014, the
Tickmill
Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia,
Seychelles
and several other locations worldwide.
Our culture is built on trust, transparency, and
high standards
. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
AI Automation Engineer
will have the chance to:
Partner with business departments to
identify
process inefficiencies and automation opportunities.
Design and prototype AI agentic workflows using modern frameworks and LLM-based tools.
Develop, integrate, and deploy AI agents capable of handling varied business tasks (e.g., reporting, customer communication, data processing, or internal operations).
Evaluate and benchmark AI models, frameworks, and tools to select
optimal
solutions.
Establish best practices for prompt engineering, context management, and workflow orchestration.
Work closely with engineering teams to ensure robust system integration, data privacy, and compliance.
Create technical documentation, user training, and playbooks for deployed AI
automation
s
.
Monitor system performance and continuously refine agent behaviors and models.
What do you need to succeed in this role?
Proven experience in building or integrating AI systems, intelligent agents, or automation frameworks.
Experience
with Forex /
FinTech
or other similar companies supporting Sales, Marketing and Finance teams
wi
th AI
.
Strong understanding of LLMs, vector databases, and agent architecture (e.g.,
LangChain
,
AutoGen
,
CrewAI
, or custom agentic frameworks).
Programming skills in Python and familiarity with REST APIs, webhooks, and automation tools.
Ability to translate business needs into technical solutions and communicate them clearly.
Familiarity with cloud environments (AWS, Azure) and enterprise integration
s in general
.
Experience with RAG (Retrieval-Augmented Generation), chains, and memory management in AI systems.
Excellent problem-solving, analytical, and stakeholder communication skills.
Will be considered as a plus:
Background in machine
learning
, NLP, or process automation.
Experience with tools such as CLAW to support Data teams
Experience deploying production-level agentic systems or AI copilots.
Exposure to
enterprise workflow automation tools (Jira, HubSpot,
etc
).
Understanding of
data governance, model evaluation, and prompt engineering patterns.
By joining us, you can expect:
Unique Opportunity for a career in a global, fast-growing company.
Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
Opportunities to learn and grow through our “Employee Training & Development program”.
Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.
Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
Participation in our welfare investment and savings plan through our Provident Fund Scheme.
Birthday and Loyalty benefits.
Collaboration with SportBenefit.
Make your next Career step and apply NOW!
*
Due to the
great number
of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Argentina; Mexico; Colombia; Brazil; Costa Rica
Overview
We are seeking a
Senior Electrical Engineer
to design the electrical architecture of
modular data center power systems
supporting high-availability computing environments.
This role focuses on the design and integration of critical electrical infrastructure including
UPS systems, switchgear, power distribution units, generators, and battery systems
. The engineer will develop electrical schematics, power architectures, and production documentation for modular platforms used in mission-critical infrastructure.
The position works closely with
mechanical engineering, manufacturing, and integration teams
to deliver production-ready modular systems.
Requirements
Design electrical systems for
modular data centers
, including UPS systems, switchgear, and power distribution units
Develop
single line diagrams, electrical schematics, cable schedules, and electrical documentation
Design
redundant power architectures
such as N+1 and 2N systems for high-availability environments
Integrate
UPS systems, generators, battery systems, and electrical distribution infrastructure
Develop
monitoring and control systems
for critical power infrastructure
Coordinate electrical design with
mechanical cooling systems and equipment layouts
Support
commissioning activities and factory testing
of modular data center systems
Produce electrical documentation supporting
manufacturing, installation, and field deployment
Required Qualifications
Bachelor’s degree in
Electrical Engineering
8+ years of experience
in electrical design for critical power systems or data centers
Experience with
UPS systems, switchgear, and electrical power distribution infrastructure
Experience developing
single line diagrams, electrical schematics, and production documentation
Strong understanding of
redundant power architectures and critical power systems
Preferred Qualifications
Experience designing
modular data centers or prefabricated power systems
Familiarity with
Tier data center reliability architectures
Experience integrating
generator backup systems and battery infrastructure
Experience supporting
system commissioning and testing
Additional Requirements
Strong English communication skills
Ability to collaborate with distributed engineering teams
Previous experience working with
U.S.-based engineering teams
is valued
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorArgentina; Mexico; Colombia; Brazil; Costa Rica
Location: Mexico; Argentina; Colombia; Costa Rica; Panama
Company Overview
Our client designs and manufactures modular energy infrastructure supporting battery energy storage, power generation, and modular data centers. Their systems integrate batteries, inverters, transformers, and electrical distribution equipment into factory-built platforms deployed for utility-scale and commercial energy projects.
Position Overview
We are seeking a
Senior Electrical Engineer
to lead the electrical design and architecture of
Battery Energy Storage Systems (BESS)
.
This role is responsible for developing electrical distribution systems, protection schemes, and equipment integration for modular energy platforms that combine battery systems, inverters, transformers, and monitoring infrastructure.
The engineer will collaborate closely with mechanical, manufacturing, and integration teams to deliver production-ready systems.
Requirements
Design electrical architectures for BESS platforms including
AC and DC power distribution systems
.
Develop
single line diagrams, wiring diagrams, electrical schematics, and cable schedules
.
Integrate battery systems,
battery management systems (BMS), PCS inverters, transformers, and switchgear
.
Define
grounding strategies, protection schemes, and isolation methods
for high-power electrical systems.
Develop
monitoring, alarm, and shutdown logic
to ensure safe and reliable battery operation.
Coordinate electrical design with
mechanical layouts and enclosure constraints
.
Support
commissioning, factory acceptance testing (FAT), and troubleshooting
of energy storage systems.
Produce
production-ready electrical documentation
supporting manufacturing and system integration.
Required Qualifications
Bachelor’s degree in
Electrical Engineering
.
8+ years of experience
designing industrial electrical systems or power infrastructure.
Experience with
power distribution systems, protection systems, and electrical schematics
.
Experience integrating equipment such as
inverters, transformers, switchgear, or energy storage systems
.
Strong experience developing
technical documentation for engineering and manufacturing
.
Preferred Qualifications
Experience working with
Battery Energy Storage Systems (BESS)
or
microgrid power systems
.
Familiarity with
UL 9540, UL 1741, or similar energy storage safety standards
.
Experience integrating
SCADA, EMS, or energy monitoring systems
.
Previous experience supporting
renewable energy, data center power infrastructure, or large industrial power systems
.
Additional Requirements
Previous experience working with
U.S.-based engineering teams is valued
.
Fluent English communication skills
(spoken and written).
Ability to present a
portfolio of relevant engineering projects
, ideally including energy infrastructure or power systems.
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
Location: Mexico; Colombia; Brazil; Costa Rica; Peru
Overview
A growing engineering and manufacturing organization is seeking a
Senior Electrical Engineer
to lead the electrical design of modular generator power systems. These systems support mission-critical infrastructure including data centers, utilities, and industrial facilities.
This role focuses on designing generator electrical architecture, integrating switchgear and protection systems, and developing electrical documentation required for manufacturing and system deployment.
The engineer will collaborate with multidisciplinary engineering teams to deliver reliable, production-ready modular power platforms.
Requirements
Design electrical systems for generator power modules including power distribution and control systems
Develop single line diagrams, electrical schematics, and wiring documentation
Integrate generators with switchgear, transfer switches, and protection systems
Design generator synchronization and load sharing solutions
Develop monitoring and control architectures for generator operation
Create grounding strategies and protection coordination for power systems
Support commissioning and factory testing of generator power modules
Coordinate electrical design with mechanical enclosure and packaging teams
Produce electrical documentation supporting manufacturing and deployment
Required Qualifications
Bachelor’s degree in Electrical Engineering
8+ years of experience in electrical power system design
Experience with electrical distribution systems and protection devices
Experience developing industrial control systems and electrical schematics
Strong understanding of generator-based power systems
Preferred Qualifications
Experience with standby power systems or data center backup power infrastructure
Experience integrating generator controls and paralleling switchgear
Exposure to microgrid or hybrid power system architectures
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorMexico; Colombia; Brazil; Costa Rica; Peru
Location: Argentina; Brazil; Mexico; Colombia; Costa Rica
Overview
We are seeking a
Senior Mechanical Engineer
to support the design and development of
Battery Energy Storage Systems (BESS)
. This role focuses on the mechanical design of equipment enclosures and integrated platforms that house batteries, inverters, transformers, and other power infrastructure.
The ideal candidate has strong experience in
mechanical product design using SolidWorks
, with exposure to
sheet metal, structural assemblies, and thermal management of electrical equipment
.
Key Responsibilities
• Design
mechanical enclosures and structural platforms
for battery energy storage systems.
• Develop
equipment layouts and mechanical assemblies
supporting service access, ventilation, and cable routing.
• Create
3D models and detailed drawings in SolidWorks
, including sheet metal and weldments.
• Perform
structural and thermal analysis
to support battery cooling and system safety.
• Coordinate closely with
electrical and manufacturing teams
to ensure proper equipment integration.
• Support
prototype builds, testing, and product development phases
.
Requirements
• Bachelor’s degree in
Mechanical Engineering
.
•
7+ years of experience
in mechanical design for industrial equipment or energy systems.
• Strong experience with
SolidWorks (sheet metal, weldments, large assemblies)
.
• Experience with
structural design and thermal management
for electrical or power equipment.
• Familiarity with
engineering documentation, BOMs, and manufacturing processes
.
• Strong
English communication skills
.
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorArgentina; Brazil; Mexico; Colombia; Costa Rica
Location: United States; Canada; United Kingdom
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
Our client is a fast-growing AI-first B2B growth agency that helps high-growth tech companies scale revenue through AI-powered Revenue Operations, automated outbound systems, and growth infrastructure.
They work with venture-backed startups and scaling B2B SaaS companies, implementing end-to-end GTM systems, sales automation, and data-driven outbound strategies.
Since launching, the company has grown from $0 to $2M ARR in under a year while working with some of the fastest-growing startups backed by leading venture capital firms and accelerators.
We are looking for a GTM Engineer to help design and implement scalable Revenue Operations systems, outbound infrastructure, and automation workflows for high-growth B2B SaaS companies.
In this role, you will work at the intersection of RevOps, outbound growth, data infrastructure, and AI-powered automation. You will collaborate with founders, sales leaders, and RevOps teams to design and execute modern go-to-market strategies.
Key Responsibilities
GTM Strategy & Play Design
Recommend and implement
outbound GTM plays
tailored to each client’s ICP and growth stage
Advise clients on
sales tech stack selection and automation tools
Build
lead allocation systems
to distribute prospects across sales teams efficiently
TAM Mapping & Data Infrastructure
Build ICP models using firmographic, technographic, and behavioral signals
Map Total Addressable Markets (TAM) and prioritize high-value accounts
Implement signal tracking systems using first-party and third-party data sources
Identify decision-makers and buying committee members within target accounts
Clay & Data Enrichment
Build advanced Clay workflows for data enrichment and account research
Implement AI-driven enrichment pipelines to automate manual research
Create automation workflows using tools such as Clay, APIs, and workflow automation platforms
Develop account scoring systems to prioritize high-intent prospects
Outbound Campaign Development
Build personalized multi-channel outbound campaigns across email and LinkedIn
Create scalable outbound sequences while maintaining personalization
Analyze campaign performance and iterate based on results and client feedback
Client Communication & Collaboration
Participate in weekly client calls to discuss strategy and performance
Collaborate internally using Notion, Slack, and documentation tools
Contribute to internal GTM playbooks and process documentation
Deliver performance reports and growth recommendations
Requirements
Must Have
2 - 4+ years of experience in Sales, RevOps, Sales Operations, BizOps, or GTM Engineering
Experience working in B2B SaaS, startups, or agencies
Strong working knowledge of Clay
Curiosity about AI tools, automation, and growth experimentation
Strong problem-solving mindset and ability to learn quickly
Fluent English communication skills
Nice to Have
Experience with HubSpot or Salesforce CRM systems
Experience with workflow automation tools such as n8n
Experience working with sales automation or outbound tooling
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships:
Claude.ai
, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission.
We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business.
What you’ll do
Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own.
Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t.
Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change.
Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them.
Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers.
Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale.
Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages.
Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle.
You may be a good fit if you
Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead
Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable.
Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line.
Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds.
Strong candidates may also have
Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack.
Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short.
Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit.
Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing.
Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
О ПРОЕКТЕ
DigiNavi — это иммерсивная AR-навигация для крупных общественных пространств (ТЦ, аэропорты). Мы превращаем локации в SMART-зоны с помощью Computer Vision и дополненной реальности. Наша команда внедряет подход VibeCoding: вы выступаете архитектором решений, используя AI-агентов (Claude Code, Cursor) как основной инструмент исполнения.
ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ
— AI-Driven Development: Разработка и поддержка кода через AI-инструментарий.
— R&D & Prototyping: Быстрая проверка гипотез и внедрение алгоритмов (SuperPoint, NetVLAD, Gaussian Splatting).
— Architecture: Рефакторинг CV-компонентов в гетерогенной среде (Go / C++ / Python).
— Integration: Внедрение ML-моделей в микросервисную архитектуру через gRPC и Kafka.
— Optimization: Работа с high-load системами и оптимизация инференса моделей.
ЧТО МЫ ЖДЕМ ОТ ВАС
— CV & ML Expert: Глубокие знания PyTorch и OpenCV. Опыт создания Computer Vision решений.
— VibeCoding Skills: Практический опыт работы с Claude Code, Cursor или аналогами. Понимание SDD и TDD подходов.
— Backend: Опыт production-развертывания (FastAPI, Docker) и понимание микросервисов.
— Polyglot Mindset: Готовность работать в окружении, где используются Go и C++ (чтение и интеграция).
— Документация: Умение создавать техническую документацию и структурировать процессы там, где их нет.
БУДЕТ ПЛЮСОМ
— Опыт оптимизации инференса для мобильных платформ.
— Работа с облачной инфраструктурой GCP.
— Понимание специфики разработки в сфере AR/VR.
УдалённоРоссия
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