Jobs ML / AI

About Us
We are a fast-growing and leading company in the AI Voice space for the iGaming industry. We replace inefficient manual processes with scalable, reliable, and high-performance AI technology. Our solutions are already used by 20+ brands across 8+ geographies. We are well-funded, ambitious, and building a team of top professionals.

What we need
We’re hiring a Head of AI (hands-on leader) who will own the technical vision and execution of our voice agent systems end-to-end. We already have an AI engineer, but we need someone more senior who can set direction, raise the quality bar, and reliably deliver production results.

Mission of the role
A senior owner responsible for building and scaling AI voice agents with strong quality, low latency, and controlled costs — plus the infrastructure to ship agents quickly across projects.

Primary outcomes
AI Voice Agent Infrastructure

• Create a solid infrastructure for fast development, testing, deployment, and iteration of voice agents.
• Enable rapid creation of personalized agents for different projects/clients.

1. Call Transcript Evaluation System
   • Build a reliable system that evaluates calls using transcripts:
     • Summaries
     • Outcome + intent detection
     • Call classification (lead quality, objections, next steps, disposition)
     • QA / scoring rubric (automated + human review loop)
2. Chat Agents for Leads
   • Build AI chat agents that communicate with warm and hot leads, qualify them, and push toward conversion / handoff.

Responsibilities
Own architecture and delivery of production-grade AI voice agents.

• Design conversation flows for outbound promotional calls (prompting + guardrails + objection handling).
• Improve agent reliability and quality (edge cases, interruptions, silence, ambiguous user input).
• Lead TTS strategy: selecting models, voice quality, and custom voice creation (where appropriate).
• Optimize latency and cost across the entire pipeline.
• Implement tooling and best practices for:
  • versioning and rollbacks
  • QA and evaluation harnesses
  • monitoring/observability (latency, errors, outcomes, conversion metrics)
  • repeatable agent templates and reusable components
• Mentor and upskill the existing AI engineer and set engineering standards.

Requirements
We need someone generally proficient in creating and deploying AI voice agents, including:
Voice agents & prompting

• Strong prompt engineering skills
• Experience designing prompts and dialogue logic specifically for outbound agents (promo/sales calls, objections, lead qualification)
• Understanding of how real-time voice agents work end-to-end (ASR → LLM → TTS, streaming, turn-taking, barge-in)

Platforms knowledge (as proficiency requirement)

• Proficient with voice-agent platforms such as Vapi, Retell, and/or LiveKit(or equivalent)
  • Recruiter guidance: they don’t need all three, but should have strong experience in at least one and understand the general category well.

TTS & voice
Strong knowledge of TTS models and practical tradeoffs (quality vs latency vs cost)

• Experience creating or integrating custom voices (where allowed/ethical/consented)

Performance & deployment
Proven ability to optimize latency and cost

• Experience building infrastructure for fast agent development and deployment
• Experience with evaluation of calls using transcripts:
  • summaries
  • classification
  • structured outputs / scoring

Nice-to-have
Experience building an internal “agent factory” (templates + reusable components + deployment pipeline)

• Experience with multichannel systems (voice + chat + CRM/lead systems)
• Experience with compliance-oriented conversation design (disclosure rules, consent flows, logging policies), depending on market

What we offer
Fully remote work format and flexible working hours.

• Competitive salary pegged to USD.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.

An engineering and technology company that creates cutting-edge robotic, autonomous, and mission-critical systems used in real-world conditions around the world. Teams work on complex hardware and software solutions, from system architecture and electronics to high-performance real-time software.
 

The company's employees work in international engineering hubs, where local talent interacts with teams and partners from different countries, sees the direct impact of their work, and participates in global projects. This opens up opportunities for professional growth, development of expertise in robotics and autonomous systems, and participation in the creation of innovative solutions that shape the future of high-tech industries

The team is seeking an experienced Quality Engineer to maintain quality control processes and standards, ensuring products meet established quality criteria. Cooperate with cross-functional teams, including production, design, and supply chain, to identify and resolve quality issues, reduce defects, and enhance overall product quality. This is a full-time, hybrid role. 

KEY RESPONSIBILITIES

• Verify conformity of manufactured products, including PCBAs, electronic assemblies, and complex electromechanical products, by developing and applying manufacturing test and inspection methods.
• Analyze manufacturing and incoming defects, evaluate test and inspection results, perform root cause analysis, and support corrective and preventive actions to improve product and process quality.
• Manage and develop Incoming Quality Control (IQC) activities, including inspection criteria, coordination of inspections, defect analysis, and supplier corrective actions.
• Support production quality assurance through in-process inspections, first-article checks, and quality support during manufacturing and assembly activities when required.
• Collaborate with cross-functional teams (production, engineering, supply chain) to establish and improve quality control measures, inspection protocols, and testing procedures.
• Support control of non-conforming products, ensuring proper identification, segregation, documentation, and controlled material flow.
• Maintain accurate quality records, including inspection results, non-conformities, root cause analyses, and corrective actions.
• Provide training and guidance to production and technical personnel on quality requirements and inspection methods.

BASIC QUALIFICATIONS

• Bachelor’s degree in Electronics Engineering, Electrical Engineering, Mechatronics, or a related technical field OR relevant hands-on experience in electronics manufacturing or quality engineering.
• Ability to read and understand technical documentation, including drawings, specifications, and test requirements.
• Strong problem-solving and analytical skills, with a structured approach to defect investigation and root cause analysis.
• Attention to detail and ability to draw clear conclusions from test, inspection, and production data.
• Good communication and cooperation skills in a cross-functional engineering environment.
• Confident PC skills.
• Willingness to learn and develop in the field of quality engineering and manufacturing.

What we offer
• Experience working in a fast-growing, highly innovative global industry.
• Excellent working conditions and an open team.
• Corporate events, regular internal activities, and other benefits.
• Opportunities for professional development and training.

We are seeking a highly technical Machine Learning Engineer to work onsite with a client team in Kyiv, supporting multiple customers and delivering production-grade ML solutions.

This role has a strong emphasis on ML Ops, model deployment, and computer vision, with additional exposure to Palantir Foundry (pipelines and UI). The successful candidate will be comfortable working independently in environments with uncertain or evolving requirements, while collaborating closely with both onsite and remote teams.

Key Responsibilities:
 

• Design, develop, train, fine-tune, and deploy machine learning models into production environments.
• Build and maintain ML Ops pipelines, including model versioning, deployment, monitoring, and retraining.
• Develop and support computer vision solutions for real-world business use cases.
• Work with structured and unstructured data to deliver scalable ML solutions from PoC → MVP → Production.
• Use Docker to containerize ML workloads and ensure portability and reproducibility.
• Contribute to and maintain Palantir Foundry pipelines and UI components (prior experience strongly preferred; training can be provided).
• Collaborate with cross-functional teams (engineering, product, client stakeholders) both onsite and remotely.
• Clearly communicate technical approaches, trade-offs, and results to non-technical stakeholders.
• Proactively drive progress and decision-making, even when requirements are ambiguous.
• Analyze data to find patterns and create machine learning solutions for challenging business issues
• Understand the AI/ML program journey to formulate relevant high impact business questions that can be answered through data analysis.
   

Required Skills & Experience:
 

• 3+ years of hands-on experience in Machine Learning, including model training, fine-tuning, and deployment, production ML systems
• Strong experience with Docker for ML workloads.
• Proficient with ML Ops concepts (CI/CD for ML, model lifecycle management, monitoring).
• Hands-on experience with PyTorch, TensorFlow, Keras, advanced Python skills (NumPy, Pandas, Scikit-learn, etc.).
• Experience working with cloud platforms (AWS, Azure, or similar).
• Familiarity with SQL for data analysis.
• Ability to work independently and take ownership of delivery.
• Fluency in English (spoken and written).
• Strong interpersonal skills with the ability to translate client requests into technical solutions and explain complex ML topics succinctly to technical and non-technical audiences

Strongly Preferred / Nice to Have:
 

• Prior experience with Palantir Foundry:Data pipelines, Foundry applications / UI
• Experience with computer vision use cases.
• Experience working in agile delivery environments.

We are looking for a Senior Data Analyst to join a leading AI-powered sports content platform serving top clients like NBA, Bundesliga, LaLiga, and ESPN.

Key Responsibilities:

• Own all analytical aspects within assigned product domains;
• Build and maintain dashboards, reports, and KPIs;
• Monitor data quality, integrity, and validity;
• Use data mining, analytical tools, and business logic to support Product teams;
• Analyze product performance and contribute to design and implementation decisions;
• Manage multiple data initiatives (ongoing and ad-hoc);
• Define alerts and monitor performance to improve operational efficiency;
• Provide data-driven insights for prioritizing new features and initiatives;

• Work closely with Product, R&D, Operations, and Business teams.

   

 Requirements:

• 3+ years of experience in Product / Data / Business / Operations Analysis in a data-rich tech environment;
• Strong SQL skills with daily hands-on query writing;
• Excellent communication skills and ability to clearly present insights;
• Strong multitasking skills and fast learning ability;
• Bachelor’s degree in a quantitative field (Math, Statistics, Engineering, etc.);
• Proven experience using AI tools for analytics.
   

Nice to Have:

• Experience with Tableau / Power BI / Looker;
• Experience analyzing datasets using LLM tools;
• Python or R experience;

• Passion for sports.

   

Conditions:

• Fully remote work format.
• Salary range: $4,000–5,500.
• International, product-focused team.
• Work on a globally impactful AI-driven product.

📍 Ukraine (Kyiv / Lviv / Remote)
⚠️ We consider candidates located in Ukraine only

We are looking for a Senior Data Scientist who enjoys solving complex ML problems, working with large datasets, and delivering models that directly impact real business metrics.

This is not a research-only role. Your models will go to production and influence real decisions.

What you will do

• Build and deploy supervised and reinforcement learning models
• Optimize ad targeting and campaign effectiveness
• Perform deep data analysis and feature engineering
• Apply optimization algorithms (linear / non-linear / combinatorial)
• Improve accuracy, scalability, and performance of existing models
• Work closely with engineering to integrate models into production
• Monitor and troubleshoot deployed solutions
• Communicate insights to product and business teams
• Mentor junior data scientists

Requirements

• 5+ years of experience in Data Science / Machine Learning
• Strong experience with supervised learning
• Hands-on reinforcement learning experience
• Solid understanding of optimization techniques
• Python
• SQL and relational databases
• scikit-learn / TensorFlow / PyTorch
• pandas / NumPy
• Production mindset and ownership

Nice to have

• OpenAI Gym or other RL frameworks
• AWS
• MLOps practices (Docker, CI/CD, versioning, Kubernetes)
• Experience with large-scale production systems

Soft skills

• Strong analytical thinking
• Clear communication
• Ability to work independently
• Prioritization in fast-paced environments
• Mentorship experience

 

We’re looking for a brilliant Deep Learning & Computer Vision Engineer to join our Algorithms group.

What will you do?

• Be a researcher of the core deep learning algorithms and communicate with other researchers.
• Design and implement advanced algorithms to solve complex problems.
• Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

Requirements

• At least 5 years’ experience as a researcher and development of deployed models.
• Strong understanding in deep-learning algorithms and computer vision.
• M.Sc. in computer science, or very experienced B.Sc Degrees Online 2025 - Best Course After 12th . or Engineering, or a related technical field.
• Experience in Python & PyTorch or other machine learning frameworks and mathematical modelling.
• Good communication skills, self-motivated, proactive, flexible and passionate about learning.
• Focused on end-to-end delivery of solutions for real world scenario in challenging timeframe.

On behalf of our client, we are looking for an AI Agent Developer (Python)

Responsibilities:

- Build and maintain AI agents for customer-facing use cases (voice, chat, automated workflows)

- Integrate AI agents with the existing backend via APIs

- Implement tool-calling patterns (database queries, record updates, notifications, etc.)

- Debug and improve agent reliability, latency, and accuracy

- Track and evaluate new agent frameworks and recommend improvements

Requirements:

- 5+ years of professional Python experience

- Strong Python fundamentals (async, type hints, clean architecture)

- Hands-on experience with at least one agent framework:
LangGraph, OpenAI Agents SDK, Claude/Anthropic tools, CrewAI, or similar

- Solid understanding of LLM APIs, prompt engineering, and tool/function calling

- Experience with Pydantic, FastAPI, or similar frameworks

- Upper - Intermediate or higher level of English

- Mandatory: completion of a technical test task as part of the hiring process

Nice to Have:

- Experience with voice AI (Twilio, Vapi, Retell, etc.)

- Familiarity with MCP (Model Context Protocol)

- Background in ERP, CRM, or POS systems

- TypeScript knowledge

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

We are seeking an experienced Kling 3.0 Specialist to collaborate on a 5-minute fantasy short film designed to feel like a polished animated movie, not a typical AI demo.

The project features both human characters and non-human fantasy creatures (including gargoyles and dragons) and requires a strong understanding of character consistency, anatomy, and continuity across shots. Kling 3.0 will be the primary tool for controlled motion and consistent characters, though complementary AI tools may be used where appropriate.

This is a creative, iterative, and collaborative process focused on storytelling, performance, and cinematic presentation.

🎯 Project Goals

• Create a cohesive 5-minute fantasy short with cinematic pacing
• Maintain strong character consistency across multiple shots
• Deliver expressive performances for both human and creature characters
• Achieve a film-like feel rather than an experimental AI showcase

🛠 Responsibilities

• Use Kling 3.0 to generate and refine animated shots
• Maintain consistent character appearance and anatomy across scenes
• Develop and iterate on character motion, blocking, and performance
• Collaborate on shot composition, pacing, and visual storytelling
• Integrate dialogue and performances (voice + animation)
• Refine scenes through multiple passes to achieve cohesive results

✅ Required Experience

• Proven experience using Kling 3.0
• Strong understanding of character consistency workflows
• Experience working with stylized and non-human characters
• Good eye for composition, framing, and cinematic flow
• Comfortable iterating and refining shots rather than one-pass generation

⭐ Nice to Have

• Experience with ElevenLabs (voice generation & emotional performance)
• Familiarity with additional AI video / image tools
• Background in animation, VFX, or cinematic storytelling

🧠 Ideal Candidate

• Thinks like a filmmaker, not just a prompt engineer
• Enjoys refining performances and visuals
• Comfortable working within the strengths and limitations of current AI tools
• Communicates clearly and collaborates well

📦 Deliverables

• Final rendered shots for a 5-minute short film
• Organized project files / prompts / references
• Consistent characters across all scenes

Backend AI Engineer

[Freelance, Full-time, Remote]

SNEAK PEEK

⇨ Location: Remote, GMT+0/+4

⇨ Interview process: HR Interview ⇨ Technical interview ⇨ Take-home challenge ⇨ Presentation of home challenge 

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. You can find out more info about us here: www.rounds.com.

THE ROLE

We’re looking for a passionate AI engineer to join our dynamic AI Innovation Team, which is the driving force behind technological advancement in our company. Here, you will use cutting-edge AI technologies to boost productivity and make extraordinary ideas a reality.

We're excited to meet someone who is AI-obsessed, has a strong sense of product ownership, is ready to take initiative and who is full of creative ideas. If this sounds like you, we want you to join our team!

Hiring manager: Alik Hochner - CTO, Ori Nahum - AI Innovation Team Lead 

KEY RESPONSIBILITIES

• Develop and maintain high-quality AI solutions for both internal teams and external users.
• Architect sophisticated AI agents, including multi-agent systems.
• Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
• Collaborate across diverse teams to boost developer productivity.
• Continuously explore the evolving AI landscape and identify impactful tools for company growth.
• Shape the company’s best practices and guidelines for AI usage.

WHAT ARE WE LOOKING FOR?

Must-have:

• 5+ years experience in software development (preferably in Python or TypeScript).
• Skilled in prompt engineering and have a strong understanding of how LLMs work internally.
• Proven track record in developing AI agents from scratch and implementing effective AI solutions for businesses.
• Basic DevOps proficiency (CI/CD, Cloud).
• Quick learner who adapts effortlessly to new tools and approaches.
• Passionate and knowledgeable about current AI trends and best practices.
• Excellent English communication skills.

HOW DO WE WORK?

We are a distributed team of more than 150 people, all working remotely and communicating partially synchronously (we usually overlap with our teams for 5 hours daily and are free to work on some of the tasks whenever it suits us best). We value open communication, proactivity and work/life balance and we measure our freelancers on performance, rather than on the time spent on the job.

WHAT’S IN IT FOR YOU? 

• 100% remote work model
• Flexible full-time working hours 

INTERESTED?

Our recruitment process consists of the following steps: 

• HR interview with the recruitment manager: 45 min
• Technical interview with the AI Engineer Tech Lead: 1 hour
• Take-home challenge: ~ 4 hours of work
• Final Interview and Take-home challenge presentation with CTO and AI Engineer Tech Lead: 1 hour

About Us

Ten8.ai is a well-funded Silicon Valley startup building next-generation AI automation tools for the logistics and operations industry. We focus on agent-based systems and automation workflows where AI accelerates both the product and the development process itself.

We are not hiring full-time employees. We are looking for freelancers / contractors who can deliver working solutions quickly.

What You’ll Do

• Build AI automation workflows (n8n is a core tool)
• Deliver fast, working prototypes using AI-assisted development tools
• Design and implement integrations with external systems (APIs, webhooks, real-time flows)
• Choose the right approach for each task: code, low-code, or no-code
• Implement backend logic when needed (Node.js / TypeScript)
• Work on short project-based tasks with 3–5 day turnaround

Technologies

• AI / Vibe Coding
• n8n (required)
• Node.js / TypeScript
• REST APIs, Webhooks
• AI coding tools (Replit, Cursor, Lovable, or similar)
• Figma (for understanding flows and UI logic)

You’re a Good Fit If You

• Can turn specifications into working prototypes very quickly
• Have hands-on experience with n8n or similar integration platforms
• Actively use AI tools to speed up development
• Prefer project-based freelance work over full-time roles
• Are comfortable with fixed-price contracts and short sprints
• Communicate confidently in English (B2+)

Process

1. Test task: Build an n8n workflow
2. Paid project: Small AI prototype (fixed price)
3. CTO interview: If the work meets our standards
4. Ongoing contract: More projects as they arise

Minimal process. Focus on output and quality.

How to Apply

Please send:

• Your CV or LinkedIn profile link
• A short note describing relevant experience or similar projects

About Us

We build intelligent platforms that help teams make better decisions in complex environments.

Our core product is an adaptive workspace that analyzes workflows, communication, and performance in real time, turning everyday activity into clear strategic insights.

Instead of dashboards and reports, we provide living systems that learn from how people work and continuously optimize processes behind the scenes.

Our technology is used by fast-growing companies that need clarity, speed, and precision in their operations.

You’ll be part of a small, highly skilled team working directly with leadership to shape a product used at scale.

What You’ll Be Building

As part of our core engineering team, you will design and scale the internal intelligence layer of the platform.

Your work will directly shape how our system learns, connects to external services, and supports users in real time.

You will:

• Architect autonomous AI agents that operate inside our workspace
• Create data flows between our platform and external services
• Develop systems that adapt to user behavior and improve over time
• Turn experimental ideas into stable product features

Your Day-to-Day Work

You will work across product, engineering, and leadership to bring new capabilities to life.

Typical responsibilities include:

• Designing interaction models between users, AI agents, and datasets
• Building integrations with CRMs, analytics tools, and cloud services
• Developing automation pipelines and backend services in Python and Node.js
• Prototyping new features and testing them with real users
• Monitoring system performance and iterating rapidly

Technical Environment

Our stack is focused on flexibility and fast experimentation.

You’ll work with:

• Python as the primary backend language
• Node.js / TypeScript for integrations and services
• Modern LLM APIs (OpenAI, Anthropic, and others)
• Retrieval-augmented generation and vector databases
• Workflow and orchestration platforms
• REST APIs, webhooks, and distributed services

What We’re Looking For

We care more about problem-solving ability than rigid backgrounds.

Ideal candidates typically have:

• 3+ years of experience building production systems
• Strong engineering fundamentals
• Hands-on experience with AI or ML-powered products
• Confidence working with modern language models
• Experience connecting multiple SaaS platforms
• Ability to write clear, maintainable code

How You Work

You’ll thrive here if you:

• Enjoy working with incomplete or evolving requirements
• Take responsibility for systems end-to-end
• Balance experimentation with reliability
• Communicate clearly in English
• Stay curious and continuously improve your craft

Growth Path

This role is designed for engineers who want to move beyond feature implementation.

Over time, you’ll:

• Shape core platform architecture
• Define internal development standards
• Mentor other engineers
• Lead major product initiatives
• Grow into technical leadership roles

About the Role:

We are looking for a Senior Machine Learning Engineer to lead the development, deployment, and operationalization of advanced AI and machine learning solutions across two high-impact initiatives:

• Automated Requirements Engineering Platform powered by Large Language Models (LLMs)

• Supply Chain Intelligence Platform with predictive risk scoring and demand forecasting

   

In this role, you will own the end-to-end machine learning lifecycle — from system architecture and data pipelines to model training, optimization, and production deployment. You will work at the intersection of generative AI and classical machine learning, delivering models that are not only accurate, but also robust, explainable, and production-ready.

The environment follows a structured Sprint Zero → Stage Gate delivery model and operates under strict defense-grade security and compliance requirements, making this role ideal for engineers who value engineering rigor and real-world impact.

👉 Key Responsibilities:

1. LLM & NLP Pipelines

• Design and fine-tune LLM-based pipelines to parse and interpret complex regulatory and technical documentation (e.g. military standards, building codes);
• Transform unstructured natural language requirements into machine-executable formats (e.g. logic tuples, structured rules);
• Implement Retrieval-Augmented Generation (RAG) architectures for semantic search across technical documents and historical project data;

• Optimize prompt engineering strategies (few-shot learning, chain-of-thought, prompt templates) to improve domain-specific performance with minimal retraining.

   

2. Predictive & Analytical Models (Supply Chain)

• Develop time-series forecasting models for material demand, cost trends, and spend categories;
• Build risk scoring, classification, and anomaly detection models to evaluate supplier reliability and exposure (financial, operational, geopolitical);

• Design multi-objective optimization algorithms to balance cost, lead time, and risk in procurement decision-making.

   

3. MLOps & Productionization

• Containerize and deploy models using Docker and Kubernetes into secure, on-premise inference environments;
• Build reproducible training and inference pipelines using tools such as MLflow, Kubeflow, or similar;
• Optimize inference performance through quantization, distillation, and efficient model architectures;

• Implement monitoring and retraining workflows to detect model drift and ensure long-term performance in production.

   

👉 Technical Requirements:

• Python expertise and strong hands-on experience with ML frameworks: PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy;
• Deep understanding of NLP and Generative AI, including transformer architectures (BERT, GPT, LLaMA);
• Experience with Hugging Face, LangChain, or similar NLP/LLM frameworks;
• Solid MLOps experience, including Docker, Kubernetes, experiment tracking, and CI/CD for ML;
• Ability to design data pipelines for structured data (SQL, tabular) and unstructured data (text, PDFs);

• Strong algorithmic thinking with experience implementing custom logic (e.g. graph traversal, optimization, geometric or rule-based computations).

   

👉 Professional Qualifications:

• 5+ years of experience in Machine Learning Engineering with production-grade deployments;
• Proven ability to adapt ML solutions to complex, highly regulated domains (e.g. defense, supply chain, construction, engineering);
• Experience working in agile delivery models, while maintaining strict engineering standards and documentation discipline;

• Strong collaboration and communication skills, with the ability to work closely with Data Scientists, Backend Engineers, and Domain Experts.

   

👉 What we offer:

📈 Professional Growth opportunities:

• Ambitious goals and interesting projects;
• Regular & transparent performance review and feedback process;

• Possibility for both vertical or horizontal growth (in case you want to try a different path).

   

😌 Comfortable Working conditions

• Flexible working hours;
• Provision of required equipment;

• Remote working model.

   

🎁 Benefits program

• 20 working days of fully paid vacation;
• Free tax reporting support by our Financial department;
• Help with individual entrepreneurs’ questions and accounting support;
• Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.).

• We’re seeking a super-experienced Senior Back-end Developer with deep expertise in JavaScript/TypeScript, particularly in Node.js, combined with practical experience in AI prompt engineering. You’ll architect, build, and optimize scalable applications that seamlessly integrate AI-assisted functionalities and modern backends.
• Prior experience with VPN services and network protocols.

Requirements

Position name: Senior Node.js Developer(with AI agents experience) for VPN Mobile App
Level: Senior

Hard skills:

• 8+ years of Software Engineering experience
• Strong experience with Node.js (Express.js, Koa.js, Nest.js)
• Strong Software Design knowledge: OOD, FP, Design patterns
• Experience building and maintaining VPN, proxy, and secure networking backend systems
• Solid understanding of network protocols, tunneling, traffic routing, and encryption standards
• Practical hands-on experience with AI prompt engineering, leveraging ArgumentCode, ClaudeCode, Cursor, or equivalent developer-AI tools.
• Deep understanding of RESTful and GraphQL APIs, modern web performance, and security.
• Solid understanding of LLM context design, tool integration, and code-generation workflows.
• Excellent knowledge of modern systems architecture components including microservices, event sourcing, and distributed data processing systems
• Advanced experience with SQL databases, especially PostgreSQL
• Experience with Docker & CI/CD processes
• Experience with AWS (or similar services like GCP or Azure)
• Experience with Serverless framework, AWS Lambdas, AWS CloudFormation
• Knowledge of Agile (preferably SCRUM) development practices

Друзі, наразі ми знаходимося у пошуку Data Science/Machine Learning

Ваш  майбутній функціонал:

• якісне та своєчасне вирішення бізнес-завдань за напрямом аналізу даних за допомогою методів машинного навчання для отримання максимального бізнес-ефекту;
• регулярна комунікація з іншими підрозділами банку для постановки завдань з бізнесом на базі предиктивної аналітики для зростання прибутку банку;
• завантаження та підготовка даних для реалізації Data Science моделей для вирішення відповідних бізнес завдань;
• реалізація, навчання та інтерпретація Data Science моделей для вирішення відповідних бізнес завдань;
• підтримка моделей, генерація ідей щодо їх подальшого поліпшення;
• дослідження нових моделей, методів та інструментів для Data Science.

Наш кандидат має:

• вищу фінансово-економічна, математична або інформаційно-технічна освіту;
• досвід роботи не менше 1-го року за напрямом Data Science/Machine Learning в банківській, фінансовій сфері або сфері інформаційних технологій;
• досвід програмування на Python не менше 1-го року;
• досвід роботи з SQL не менше 1-го року;
• навички підготовки різних типів даних для моделювання;
• навички підготовки звітів для моніторингу результатів роботи моделі;
• навички навчання моделей машинного навчання;
• знання базових метрик машинного навчання;
• навички інтерпретації моделей машинного навчання.

З нами Ви отримуєте:

• гідний рівень заробітної плати, що виплачується 2 рази на місяць;
• 28 календарних днів відпустки, оплачувані лікарняні;
• щорічний перегляд заробітної плати;
• можливість працювати віддалено;

• навчальні програми, семінари, тренінги, читацький клуб, курси англійської мови тощо.

   

Дякуємо за Ваш інтерес до нашої вакансії. У разі позитивного рішення ми з Вами зв'яжемось протягом 14-ти днів. Якщо протягом цього часу Ви не отримаєте відповідь на Ваше резюме, не засмучуйтесь - це означає, що зараз ми не можемо запропонувати відповідну вакансію, але зберегли Ваше резюме у нашій базі кадрового резерву. Якщо в майбутньому вакансія з'явиться, ми запропонуємо Вам розглянути її.

Це оголошення не є рекламою!

Привіт! Ми — YouControl, українська продуктова B2B компанія, яка вирішує проблеми клієнтів у сфері комплаєнсу та фінансового моніторингу з використанням відкритих даних. Команда YouControl – люди, які спільно створюють технологічні продукти, втілюючи єдину місію – сприяти розширенню міжнародної співпраці шляхом формування прозорого бізнес-середовища.

Шукаємо AI ентузіаста, який приєднався би до нашої команди на позицію LLMOps. Важливо — твій творчий підхід, готовність долати труднощі, організовано ставитися до завдань.

Що потрібно, щоб приєднатися до нас:

• глибоке розуміння принципів роботи LLM, нейронних мереж та алгоритмів машинного навчання;
• досвід роботи з ChatGPT, Llama, RAG, Agents; 
• досвід роботи з інструментами LLMOps;
• навички програмування на Phyton; 
• базові навички Promt Engineering;
• досвід роботи з великими даними;
• розуміння життєвого циклу розробки моделей машинного навчання від створення прототипів до розгортання в продукті;

Що ти робитимеш:

• розробка та впровадження на основі LLM для вирішення конкретних задач продукта; забезпечення  їхньої стабільної роботи, високої доступності та масштабування;
• моніторінг та оптимізація продуктивності та якості результатів; 
• проведення експериментів для поліпшення, збір зворотнього зв’язку для поліпшення результатів;
• тісна взаємодія з продуктовими командами;
• відслідковування трендів в сфері AI. 

Що ми пропонуємо:

• Роботу над суспільно важливим продуктом в амбітній команді зі зрілим agile delivery process;

• Можливість працювати за бажанням віддалено чи в офісі;

• Демократичний стиль управління;

• Корпоративна англійська;

• Медичне страхування.