Jobs

OBRIO is an IT company with Ukrainian roots inside Genesis business ecosystem. Our team consists of more than 300 talented professionals whose ambitions and striving for success help us build the best products on the market. We have offices in Kyiv and Warsaw.

We are developing Nebula – the biggest brand in the spiritual niche. Nebula has over 60 million users worldwide and has been ranked as the № 1 lifestyle app of the day in the Apple Store and Play Market in the USA, Canada, and Australia several times. Nebula is available on iOS, Android, and Web.
 

Our mission is to make people happier by improving the quality of their relationships.

Here are some details we would like to share with you:

• Nebula is #1 in its niche in terms of downloads and revenue targets;
• 60 million users worldwide;
• Users from 50+ countries;
• 4.8 — our average AppStore rating (with more than 215 thousand ratings;
• OBRIO's achievements and team's expertise were shared in Tier-1 international and Ukrainian media, organizations, and brands such as Forbes Ukraine, TechCrunch, VECTOR, The Next Web, Tech.eu,Entrepreneur Media, Fast Company, AIN, IT Arena, MEGOGO, DOU, Projector Institute;
• OBRIO — lovemark-brand з найвищим eNPS (Forbes).
   

At OBRIO, innovation drives everything we do. At OBRIO, innovation drives everything we do. We’re a fast-growing and forward-thinking company seeking an AI Engineer to strengthen our growing AI team and contribute to the development and scaling of AI-driven solutions. You’ll have the opportunity to take ownership of impactful projects across key departments marketing, support, content, and payment risk management while contributing to the evolution of our AI strategy and collaborating with fellow AI specialists.

Your impact:

• Develop AI tools for content generation and prompt optimization.
• Build predictive models for marketing targeting and performance.
• Automate processes to improve efficiency for support and supply teams.
• Design payment risk management models using AI.
• Share AI insights with stakeholders and drive cross-team knowledge-sharing sessions.
• Stay ahead of AI advancements to identify innovative solutions.
   

About you:

• 3+ years of experience in AI/ML development and deployment.
• Strong Python skills and expertise in frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in NLP, predictive analytics, and statistical modeling.
• Experience with data processing tools (Pandas, NumPy) and database systems (SQL, NoSQL).
• Deep understanding of supervised and unsupervised learning methods.
   

Nice-to-Have:

• Experience scaling AI models with Docker, Kubernetes, or cloud platforms.
• Expertise in predictive modeling for marketing or payment risk management.
   

Why OBRIO is the best place to work?

• Unleash Your Ambitions: Our company was built by ambitious people who never settle for less. By joining OBRIO, you'll have the chance to unleash your own ambitions and achieve your career dreams.
• We don’t just give you opportunities for growth and development, we give you maximum autonomy and believe we can’t do without you and your active thinking.
• Collaborate in a Team Environment: We believe that success is a team effort. When you join OBRIO, you'll have the chance to collaborate with talented individuals who share your passion for achieving outstanding results.
• At OBRIO, we’ve gathered influential experts, all of whom are open to sharing their knowledge and ready to help solve issues based on their experience. This is the company where you can quickly reach your potential and advance your career.
   

Our benefits:

• Work from the comfort of your home or from one of our offices in Kyiv or Warsaw. The choice is yours!
• Enjoy 20 annual vacation days and unlimited sick leave, all covered by the company;
• Don't worry about getting the right equipment, we've got you covered if necessary;
• Stay healthy with access to a corporate doctor online, and health insurance options in Ukraine or a fixed amount towards insurance abroad after your probation period;
• Keep learning with our extensive corporate library, internal online meetings, and lectures;
• Grow your skills with our training compensation program;
• Take advantage of our supportive corporate culture, including assistance with relocation, advice on legal stay abroad, housing support, and help for third-country nationals;
• Have fun with our online events and team-building activities.
   

Here's what our hiring journey looks like: Initial Screening ➡️ Skills Assessment➡️ Team Interview ➡️ Final Check ➡️ Job Offer.
 

Let's team up and reach for the stars together!
 

We are looking for a skilled AI/ML+Python Engineer to join our core team. You will contribute to the development of critical AI/ML infrastructure for blockchain-based AI model execution and training capabilities.

About the project
A blockchain-based system that integrates GPU computing, AI models, and AI agents in a decentralized environment. The infrastructure enables the creation, training, and execution of AI models without centralized servers, ensuring transparency and scalability. AI agents can interact with smart contracts, analyze data, and make autonomous decisions.
The technology is designed for Web3 applications, process automation, and integrating AI into the decentralized economy.

Responsibilities:

• Dataset management
• Storage, processing, and validation systems
• ML model training
• Training infrastructure and orchestration
• AI model deployment and optimization
• Performance tuning and validation pipelines
• Integration with blockchain execution layer
• Connecting services with existing Kubernetes-based runtime
• Building APIs for cli integration
• Blockchain event processing via Redis/PostgreSQL
• Enabling end-to-end AI training workflows
• Supporting model-dataset linking for training operations
• Implementing training metadata collection and storage

Requirements:

• 3+ years of Python development experience (FastAPI/Flask, async/await patterns) with an AI/ML focus
• Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, ONNX, scikit-learn)
• Experience with Production ML systems — training pipelines, model deployment
• Knowledge of containerization — Docker, Kubernetes (production experience)
• Experience with microservices architecture in production AWS services (S3, ECR, Secrets Manager)
• Familiarity with database design — PostgreSQL, Redis, metadata schemas
• Experience with API development — RESTful services, async processing

Will be a plus:

• ONNX Runtime experience or model optimization
• Blockchain integration knowledge and familiarity with blockchain ecosystems (Cosmos SDK, Tendermint, smart contracts)
• Experience with model execution in constrained environments
• Experience with Trusted Execution Environments (TEE) or familiarity with secure enclave technologies
• An awareness of zero-knowledge proofs (ZKP) and their applications in cryptography would be beneficial
• Ability to read and understand Go/Rust code

We offer:

• Competitive compensation
• Social package (24 working days of annual leave, 5 paid sick days)
• Flexible working hours
• Challenging projects in diverse business domains and a variety of tech stacks
• Personal development and professional growth opportunities
• Work with talented, ambitious and family-feel teams
• Educational possibilities: corporate courses, knowledge hubs, and in-house English classes
• Compensation for your professional certification & support for your learning activities
• Opportunity to choose IT equipment you like
• Corporate social responsibility

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.
 

What is your Day to Day Mission:

• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance

• Research and apply state-of-the-art deep learning methods in computer vision

   

What you bring to the team:

• 3+ years of experience in AI/ML, with a strong focus on computer vision
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus

• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

   

 Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies

• Understanding of object re-identification or multi-target tracking

   

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

 About Us:

We are a fast-growing AI startup building cutting-edge solutions powered by large language models (LLMs). Our products range from automation and intelligent agents to domain-specific copilots for clients across the US, Europe, and Asia. We're now looking for an experienced Senior LLM Engineer to help us push the boundaries of what LLMs can do.

What You’ll Do:

• Design and implement LLM-based solutions using OpenAI, Anthropic, Mistral, LLaMA, or similar
• Develop and optimize prompts for specific business use cases (prompt engineering)
• Fine-tune and adapt foundation models using techniques like LoRA, QLoRA, PEFT, instruction tuning
• Build and maintain inference pipelines for evaluating model performance and scalability
• Design and improve RAG (Retrieval-Augmented Generation) systems for production use
• Stay on the edge of the latest LLM and NLP research and apply best practices
• Collaborate with product managers, ML researchers, and backend engineers

Requirements:

• 4+ years in software or ML engineering, with 1–2 years working specifically with LLMs
• Strong Python skills; experience with PyTorch, HuggingFace Transformers
• Hands-on experience with prompt engineering and prompt chaining (LangChain, LlamaIndex, etc.)
• Experience with fine-tuning LLMs and efficient model adaptation
• Familiarity with vector databases (e.g., FAISS, Weaviate, Qdrant)
• Solid understanding of model evaluation techniques (BLEU, ROUGE, perplexity, human evals)
• Comfortable working in a fast-paced, research-driven environment

Nice to Have:

• Experience deploying LLMs in production (APIs, Docker, GPU scaling)
• Knowledge of multi-modal models or embeddings
• Publications or open-source contributions in NLP or ML
• Experience with data labeling, synthetic data generation, or model alignment

We Offer:

• Competitive compensation and equity options
• Access to premium LLM APIs and GPU compute resources
• A flat, founder-friendly culture with a focus on impact
• Opportunities to shape the product and research direction
• Flexible working hours and location

About the company:
Faraday Robotics is a global Service-Disabled Veteran-Owned Small Business (SDVOSB) company delivering autonomous and tactical solutions since 2019. With 140+ successful projects, we specialize in secure, offline-capable systems that work without GPS or internet.

We're hiring a senior AI/SLAM/Autonomy Engineer to lead the autonomy stack for ECITON — a distributed swarm drone platform for edge operations.
You’ll integrate visual SLAM, path planning, AI decision-making, and onboard ML inference to enable GPS-denied navigation, target detection, last-mile autonomy, and swarm coordination via ArduPilot-based controllers.

Key Responsibilities: 
• Design and integrate real-time SLAM pipelines (visual-inertial preferred) for autonomous navigation. 
• Object tracking algorithms using OpenCV. 
• Train and deploy lightweight ML models for onboard inference in real-world conditions. 
• Integrate AI/ML modules for target detection and behavioral decision-making. 
• Support GPS-agnostic navigation via sensor fusion and terrain-aware motion planning. 
• Collaborate with embedded, full-stack, and hardware teams to align the autonomy stack with system
level constraints. 
• Optimize performance on ARM-based edge compute platforms (Raspberry Pi, Jetson Nano, etc.).

Requirements: 
• Minimum 7 years of experience in autonomy, robotics, or computer vision systems. 
• Proficient in OpenCV, visual SLAM, and real-time localization. 
• Strong skills in C++ and Python; experience with ROS/ROS2. 
• Demonstrated experience with ML model training and deployment (TensorFlow, PyTorch, etc.). 
• Ability to run perception and AI systems on embedded Linux hardware. 
• Understanding of flight dynamics and real-time motion planning. 
• Ability to debug and tune systems in field environments.

Preferred Qualifications: 
• Experience with ArduPilot, PX4, or similar UAV control frameworks. 
• Familiarity with object detection models (e.g., YOLO, MobileNet) and model quantization. 
• Experience with multi-agent autonomy, swarm logic, or distributed path planning. 
• Background in defense, tactical robotics, or mission-critical systems. 
• English level not lower than B1 (Intermediate). 
• Agile development experience (Jira, Git). 

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (2 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We seek an experienced Senior AI Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities:

• Design, build, and deploy GenAI systems using LLMs for real-world applications, including agentic workflows, RAG pipelines, and orchestration logic.
• Implement multi-step reasoning systems using frameworks like LangChain, LangGraph, Strands Agents, CrewAI, and Bedrock Agents.
• Optimize retrieval pipelines with efficient embedding strategies and vector stores such as OpenSearch, PostgreSQL pgvector, Pinecone, and others.
• Rapidly experiment with and integrate new research and GenAI tooling into scalable prototypes and customer-ready solutions.
• Collaborate with cross-functional teams to ship AI-powered features and assist in aligning AI efforts with business goals.

Requirements:

• 3+ years of experience in AI/ML engineering with a track record of building and shipping production-grade AI systems.
• 5+ years of hands-on experience with Python and deep learning frameworks such as PyTorch and HuggingFace Transformers.
• Experience with orchestration frameworks such as LangChain, LangGraph, Strands Agents, CrewAI, and Bedrock Agents.
• Solid understanding of embedding strategies, retrieval optimization, and semantic search using vector stores.
• Experience with AWS services, including Bedrock, SageMaker, Lambda, and other serverless and container-based deployment approaches.
• Familiarity with MLOps practices, including CI/CD for models, monitoring, and reproducibility in cloud-native environments.
• Strong communication skills and the ability to collaborate across product and engineering teams.
• Fluent written and verbal communication skills in English

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

WHO WE ARE

Respaid unlocks hidden B2B revenue through AI-powered debt collection, done in a respectful way. 20+ people across US & Europe—incl. 10 UA engineers—ship weekly via Linear, GPT-4 agents & full-stack automation. Backed by Y Combinator plus founders of Dropbox & Docker.

WHY THIS WILL EXCITE YOU

• Ship AI that drives revenue — production impact from day one.
• 99.9% uptime, 10–50× dev velocity — obsession with tooling (Cursor, Claude Code, n8n).
• Small, elite team — zero corporate drag, direct access to CEO/CTO.
• Path to Staff / Lead — out-ship, out-learn, own massive scope.

WHAT YOU'LL TACKLE

• Build end-to-end AI features: data scraping → RAG pipelines → automated system sync.
• Craft idempotent, rate-limit-resilient integrations with CRMs & accounting tools.
• Engineer context-rich AI replies and dynamic recovery orchestration.
• Validate & iterate on AI outputs for production-grade accuracy.
• Contribute light DevOps, CI/CD, SRE for 99.9% uptime.

DAY-TO-DAY OWNERSHIP

• Ship code daily (PHP Laravel & Python FastAPI).
• Pair with AI teammates (Cursor, Claude Code) for 10× throughput.
• Review logs/metrics, squash bugs, automate yourself out of toil.
• Collaborate with leadership on roadmap & architecture.

MUST-HAVE SUPER-POWERS

• Proven experience shipping AI-powered production systems (not research).
• Hands-on with RAG pipelines, large-scale scraping, prompt engineering.
• Strong API integration & automation chops.
• Rapid context switching, self-starter, ownership mindset.
• Upper-Interm. English, clear async communication.

NICE TO HAVE

• Multi-tenant SaaS, deliverability optimization, event analytics.
• IaC, CI/CD, light SRE.

PERKS

• Fully remote; flexible hours (core GMT+2/+3 overlap).
• PTO + national holidays + paid birthday off (and your kids'🎂).
• Private health plan, EN/UA language courses.
• Zero red-tape access to CEO & CTO; path to Staff/Lead for top performers.

HOW TO APPLY

Top 1 % receive a paid 2-hour AI coding challenge.
  Pass → 30-min CEO call → offer.

🚀 Ready to build AI that moves the needle? Hit Apply and share one AI workflow you shipped and its ROI.

Role Overview:
Our partner (headquartered in US, New York, NY) is looking for an innovative agent focused engineer to expand product agent back‑end so new automations can be shipped every week.

Responsibilities:

• Design and implement multi-agent orchestration systems, managing agent interactions, control transfers, and task coordination across specialized agents (planner, email analyzer, search, etc.)
• Develop and maintain agent configuration management systems including dynamic Firestore-based configurations, tool assignments, model selection, and prompt engineering for optimal agent performance
• Build and integrate custom tools and workflows for calendar management, memory systems, UI interactions, and email processing pipelines using sequential agent workflows
• Implement and optimize memory and context management including session handling, persistent user memory (Mem0 experience is a plus), and ensuring agents maintain relevant historical context
• Manage real-time agent communication systems including WebSocket connections, multi-modality support (text/audio/image), and background task processing for seamless user experiences
• Write evals and unit tests to ensure consistency 

Qualifications:

• Expert Python development with strong async/await programming patterns, FastAPI integration, experience with Google ADK (Agent Development Kit) framework or equivalent like LangChain, Crew or similar
• Deep understanding of LLM integration and prompt engineering, specifically with Gemini models, including model selection, response optimization, and token management
• Experience with cloud-native architectures including Firestore for configuration management, Google Cloud services integration, and microservices communication patterns
• Proficiency in building and maintaining tool ecosystems including calendar APIs, memory systems, search integrations, and custom function development for agent capabilities
• Strong background in AI/ML workflows including sequential processing, agent orchestration, error handling, performance optimization, and end-to-end testing of AI systems

This project aims to enable GPS-independent navigation, last-mile autonomy, and coordinated multi-agent behavior in complex environments through onboard AI.

Responsibilities:
• Design and integrate real-time SLAM pipelines (visual-inertial preferred) for autonomous navigation.
• Object tracking algorithms using OpenCV.
• Train and deploy lightweight ML models for onboard inference in real-world conditions.
• Integrate AI/ML modules for target detection and behavioral decision-making.
• Support GPS-agnostic navigation via sensor fusion and terrain-aware motion planning.
• Collaborate with embedded, full-stack, and hardware teams to align the autonomy stack with system-
level constraints.
• Optimize performance on ARM-based edge compute platforms (Raspberry Pi, Jetson Nano, etc.).

Requirements:
• 4 years+ of experience in autonomy, robotics, or computer vision systems.
• Proficient in OpenCV, visual SLAM, and real-time localization.
• Strong skills in C++ and Python; experience with ROS/ROS2.
• Demonstrated experience with ML model training and deployment (TensorFlow, PyTorch, etc.).
• Ability to run perception and AI systems on embedded Linux hardware.
• Understanding of flight dynamics and real-time motion planning.
• Ability to debug and tune systems in field environments.
 

Preferred Qualifications:
• Experience with ArduPilot, PX4, or similar UAV control frameworks.
• Familiarity with object detection models (e.g., YOLO, MobileNet) and model quantization.
• Experience with multi-agent autonomy, swarm logic, or distributed path planning.
• Background in defense, tactical robotics, or mission-critical systems.
• English level not lower than B2
• Agile development experience (Jira, Git).

We are looking for a Senior Data Scientist on behalf of our client – an early-stage Israeli startup revolutionizing the real estate investment space through AI and alternative data. The company is building an intelligent platform that helps investors identify high-return opportunities at the ZIP-code level using predictive analytics, risk modeling, and automated investment strategies.

This is a hands-on role where you’ll work directly with large-scale, unconventional data sources—from mobility signals to social trends—to build models that forecast property values, rental income, and market shifts before they become obvious to the broader market. You’ll collaborate with engineering and product teams to make data science a core driver of the platform’s success.

Key Responsibilities:

• Design and build predictive models for real estate pricing, rent forecasting, and investment potential at the micro-geographic level (ZIP code).

• Analyze and integrate alternative datasets such as location mobility, social indicators, and macroeconomic data to improve model accuracy.

• Develop, train, and validate machine learning models (XGBoost, linear regression, neural networks, time-series forecasting, etc.).

• Work closely with engineers to integrate models into the production environment.

• Build internal dashboards and data visualization tools to help investors make data-backed decisions.

• Contribute to shaping the overall data infrastructure and tooling.

• Collaborate with company leadership to ensure data insights are embedded in key business decisions.

Requirements:

• 5+ years of experience in Data Science, Machine Learning, or AI.

• Strong proficiency in Python (Pandas, NumPy, Jupyter) and data manipulation techniques.

• Solid SQL skills – writing optimized queries, complex joins, aggregations.

• Experience building and deploying supervised machine learning models.

• Knowledge of time-series forecasting and working with real-world, noisy data.

• Ability to communicate complex analytical insights to both technical and non-technical stakeholders.

• English at a high professional level.

Bonus Points For:

• Experience with geospatial data (GeoPandas, PostGIS, Kepler.gl).

• Background in real estate, urban economics, or working with financial/investment data.

• Familiarity with MLOps tools and best practices.

• Startup experience – ability to move fast and iterate with limited resources.

Impulse is a brain training app that helps people keep their brains sharp with bite-sized fun games and logic puzzles. Impulse is the world’s most downloaded app in the Brain Training category with over 100 million downloads. The app is trusted by users worldwide, with a 4.7 rating on the App Store, and has been featured as App of the Day in over 50 countries, including the UK, Canada, and Australia.

Impulse is a part of Headway Inc, a global tech company that revolutionises lifelong learning by creating digital products for over 150 million users worldwide. Our mission is to help people grow. We’re proud to be ranked 4th among the World’s Top EdTech Сompanies by TIME magazine.

The core of our achievements is our team. That’s why, together with Tetiana, Creative & Production Lead at Impulse, we’re looking for an AI Creative Specialist to join our team of superstars.
 

This job is perfect for you if you want to:

• Work alongside a team of energetic, like-minded experts. You’ll brainstorm, test ideas, and share knowledge across departments — all shoulder to shoulder with people who love what they do.
• Dive deeper into the world of creative marketing and grow fast in this field. This role is just your starting point
• Make a real impact on the performance of a #1 product in its niche. You’ll come up with creative ideas and actually see the difference your work makes.

What you will do:

• Create attention-grabbing visuals, copy, and videos with AI tools.
• Staying on top of the latest AI tools for marketing and creatives.
• Share AI tips and tricks with the team.
• Create a prompt base and applying prompt engineering for the best results from AI.
• Automate routine tasks and put the boring stuff on autopilot — from refreshes and variations to copy, voiceovers, and beyond.

What do you need to join us:

• 1+ years of experience with core AI tools such as Elevenlabs, Heygen, DreamFace, Veed, Sora, Midjourney, Freepik.
• English at Upper-intermediate level or higher.
• A passion for discovering what’s possible with AI.
• A perfect mix of creativity and analytical skills.
• Willingness and motivation to learn and grow fast.
• Interest in tracking content trends and best-performing ad practices on social media.
• A logical and structured approach to tasks, and openness to discussing ideas.
• Alignment with the values of our team (more about us - here).

Will be a plus:

• Holding a certificate proving English language proficiency (e.g., IELTS, TOEFL, etc.)
• Experience with market research and competitor analysis tools (AppMagic, FB Ad Library, TikTok Creative Center).
• Good understanding of marketing metrics and the marketing funnel.
• Basic Figma skills.
• Copywriting chops.

What do we offer:

• Work within an ambitious team on a socially impactful education product.
• An office with a reliable shelter, generators, satellite internet, and other amenities.
• Access to our corporate knowledge base and professional communities.
• Personal development plan.
• Compensation for English language learning, external training, and courses.
• Medical insurance and full sick leave compensation.
• Sports activities: running, yoga, boxing, and more.
• Corporate holidays.
• Supporting initiatives that help Ukraine. Find out more about our projects here.

Working schedule

This is a full-time position with a hybrid option. It means that we will prefer you to attend office 2-3 times per week.

Are you interested?
Send your CV!

About the Role:

We are launching a new strategic business unit focused on AI Agent Management Services, combining internal infrastructure development with external delivery of cutting-edge generative AI solutions for enterprise clients.
This is a foundational leadership role responsible for defining the vision, building the business from the ground up, and ensuring sustainable growth through innovation, delivery excellence, and commercial performance.

Key Responsibilities:

Business Unit Leadership:

• Design and establish the AI Agent Services business unit, including team structure, operational model, and key processes.
• Develop and own the strategic roadmap for service development, internal capabilities, and external market expansion.
• Build and continuously refine the portfolio of offerings (consulting, outsourcing, managed services, packaged products).
• Develop and manage the pricing strategy, including value-based pricing models, rate cards, and cost analysis.
• Take full P&L responsibility for the unit: budgeting, forecasting, and ensuring profitability.
• Set and achieve financial targets, including revenue quotas, margin goals, and customer acquisition KPIs.

Service Development & Infrastructure:

• Lead the design and development of AI agent architecture, lifecycle processes, and reusable internal components.
• Establish in-house tools, platforms, and reusable modules to support agent development, integration, testing, and monitoring.
• Ensure all offerings align with responsible AI practices, regulatory compliance, and enterprise-grade delivery standards.

Team & Capability Building:

• Recruit and lead a multidisciplinary team (AI engineers, prompt engineers, delivery managers, solution architects, sales support).
• Foster a culture of innovation, agility, and customer-centric delivery.
• Define and implement performance management and continuous improvement processes for the unit.

Go-to-Market & Business Development:

• Personally drive business development efforts during the initial phase — identifying opportunities, engaging clients, creating proposals, and closing deals.
• Work closely with the marketing team to position the service line, define ICPs, and create compelling sales collateral.
• Act as the face of the AI Agent Services offering, building thought leadership through events, webinars, and content.
• Develop channel and partner strategies (e.g., alliances with LLM providers, platform vendors, or system integrators).

Client Delivery Oversight:

• Ensure high-quality, scalable delivery of AI Agent solutions to clients across industries.
• Support solution architecture and custom offering design for strategic clients.
• Define and monitor SLAs, KPIs, and delivery governance models.

Requirements:

Experience:

• 7+ years in technology leadership or digital transformation roles, with at least 2–3 years in AI/ML solution development or automation service lines.
• Experience building or scaling new service lines or business units in IT, consulting, or AI environments.
• Demonstrated success in owning P&L, hitting revenue targets, and managing business operations.
• Hands-on experience with enterprise client delivery — particularly in consulting, managed services, or outsourcing.

Skills & Competencies:

• Strong knowledge of Generative AI technologies (LLMs, agents, orchestration frameworks like LangChain, vector stores, RAG, etc.).
• Business acumen and ability to design commercial models, pricing structures, and scalable service portfolios.
• Outstanding leadership and communication skills, capable of influencing both technical and non-technical stakeholders.
• Entrepreneurial mindset — comfortable with ambiguity, resourcefulness, and building from scratch.
• Fluent English is required; additional languages (e.g., Arabic, Italian, German, French) are a plus.

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• MBA or equivalent business leadership training preferred.

The role

As the Senior ML Engineer at HelloBiome, you will spearhead our efforts to integrate advanced AI capabilities through machine learning models into our microbiome-based health solutions. In this pivotal role, you will lead a cross-functional team to innovate and enhance our AI-driven platforms, ensuring they are scalable, robust, and aligned with our strategic business goals. Your expertise will guide the development and implementation of machine learning models that power predictive analytics, personalized care, and medical image analysis, crucial for advancing consumer health technologies.

Collaborating closely with biologists, data scientists, and software engineers, you will translate complex business needs into functional and non-functional requirements, ensuring our technology roadmap continuously evolves to meet the dynamic demands of the industry. By establishing robust governance frameworks, you will oversee the lifecycle management of AI models, maintaining high standards of data integrity and compliance with global regulations.

This role includes a competitive cash salary and equity package. Compensation is calculated based on the location of the team member, reflecting HelloBiome’s commitment to fair and equitable remuneration.

Requirements

• 10+ years of experience in the development and deployment of machine learning solutions at scale
• Strong communication and presentation skills to effectively collaborate with various stakeholders
• Proven track record and hands-on experience in software development
• Proven ability to lead and manage projects with cross-functional teams
• Extensive experience in building complex, load-ready ETL and ELT processes using various architectures (n-tier, monolith, microservices, etc.), hybrid stacks (Python, Node.js) and tools
• Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud
• Excellent understanding of machine learning algorithms and techniques including supervised learning, clustering, classification, and recommendation systems
• In-depth understanding of statistical methods and principles underlying machine learning algorithms, including hypothesis testing, probability theory, regression analysis, and Bayesian inference
• Experience with ethical AI practices and ensuring compliance with data protection regulations in the USA and EU
• Experience with healthcare data (e.g., electronic health records, medical imaging data, genomics data) is desirable
• Familiarity with data governance principles and best practices, including data quality management, metadata management, and data lineage tracking for model traceability and accountability
• Experience in driving innovation and thought leadership in research, contributing to publications, patents, or industry conferences is desirable

Responsibilities

• As a Senior ML Engineer, you’ll lead HelloBiome in advancing as a data-first organization, integrating AI into the existing systems, building new ones, and preparing the HelloBiome platform for scaling. You will report directly to the CTO.
• Collaborate with stakeholders to understand business goals and translate them into functional and non-functional requirements
• Build and constantly align technology roadmap with business strategies and their KPIs
• Develop and implement machine-learning models and algorithms for microbiome applications, including medical image analysis, predictive analytics, personalized care, and recommendation systems
• Collaborate with biologists and software engineers to gather requirements, design solutions, and integrate machine-learning models into the HelloBiome platform
• Evaluate and validate models using appropriate metrics and techniques to ensure accuracy, reliability, and robustness
• Optimize machine learning algorithms for performance, scalability, and real-time processing
• Lead the establishment and maintenance of robust governance frameworks for product development and deployment, including model lifecycle management, risk assessment, technology vendor management, and compliance monitoring
• Ensure that data acquisition and processing activities comply with ethical standards and industry regulations
   

About HelloBiome

HelloBiome is an innovative B2B biotech startup at the forefront of AI-powered microbiome innovation. We are dedicated to revolutionizing consumer health by leveraging the microbiome. Through democratizing access to microbiome data, HelloBiome utilizes advanced AI technologies to develop targeted health solutions, transforming these insights into commercial applications for our business clients. Trusted by over 20 clients, including industry giants like Unilever, we are not just predicting the future of consumer health; we are actively shaping it. At HelloBiome, every step we take is towards a healthier future, optimizing well-being one microbiome at a time.

Our Culture

At HelloBiome, we thrive in a globally connected, remote work environment with team members distributed across Europe, the US, Canada, and Korea. Our headquarters are in San Francisco and Our dynamic and international team embodies a culture of kindness paired with a drive for innovation and excellence. We value proactive individuals who bring a self-starter mindset to their roles, always seeking new ways to advance our mission. Attention to detail is crucial in our work, as we are committed to delivering precise and impactful health solutions to our B2B clients.

This remote and flexible work structure not only fosters a diverse and inclusive atmosphere but also encourages a balance between personal growth and professional excellence. Join us and be part of a team that is shaping the future of consumer health through groundbreaking AI-powered microbiome innovation.

Your expertise:

• High personal interest in quantitative and algorithmic approaches
• Knowledge in quantitative analysis, statistics, time-series analysis, ML modeling and forecasting for markets
• Experience from 2 years with Data Science activities, including data research and analysis, algorithmic strategy prototyping and backtesting
• Experience with creating and supporting algorithmic strategies, including their risk management
• Experience in systematically monitoring and evaluating the performance of algorithmic strategies with a set of KPIs

• Experience with SQL, Pandas / NumPy / SciPy, and backtesting frameworks

   

Will definitely be a plus:

• Experience with effectively managing delta-neutral and grid strategies
• Experience in the management of a portfolio of algorithmic strategies
• Experience with data science for Agentic AI and Machine Learning
• Experience in the DeFi, DeFAI, or market-making

• Good knowledge of Finance for markets

   

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity / paternity leave program

• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

   

You will be involved into:

• Lead Data Science activities for algorithmic strategies: data research and analysis, prototyping and backtesting, live strategy performance monitoring, designing data pipelines, designing and implementing risk management strategy
• Participate in the full lifecycle of algorithmic strategy development: ideation, data research, strategy design and prototyping, backtesting, implementation, and live monitoring
• Systematically monitor and analyze strategy performance metrics, research and generate hypotheses for improvement, and iteratively test hypotheses

• Define requirements for implementation by Developers of algorithmic strategies and their data pipelines

   

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap has been on the market for 20+ years and is the 2nd largest domain registry‬ in the world. We are the Namecheap Machine Learning Team.‬

The team prototypes and develops innovative systems with AI and Machine Learning.‬ Currently, there are more than 10 Production systems in the areas of Email, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of global‬ market leaders.‬

The team provides all the conditions for active professional growth. The culture combines‬ the best from enterprises and startups: a high level of professionalism, truly innovative‬ technologies, friendliness, and stability.‬