Jobs AI

Phenomenon Studio is a boutique product design and development agency founded in 2019. We work with teams who’ve outgrown what they’ve built — from venture-backed startups to established market leaders — and own the work end to end: strategy, design, development, and post-launch.

The team of 70+ senior specialists is based in Europe, with entities in the USA, Estonia, and Switzerland, serving SaaS, fintech, healthcare, and EdTech. Across 120+ launches, clients have raised $500M+. Phenomenon is HIPAA-compliant, Nielsen Norman Group UX certified, and a Webflow Experts partner, holding a 5.0 rating on Clutch — and most clients come back for a second project.

We’re looking for a Senior Product Designer who treats a brief as a hypothesis rather than a specification.

Advantages of the role

• You own complex projects end to end. You don’t just do one part of someone else’s plan — you find the problem, decide what to do, and take responsibility for the result
• You’ll talk directly with the client to understand their needs and expectations, then present your solutions and stand behind them
• We submit product work to awards that judge the thinking, not the surface — Red Dot, UX Design Awards
• A design community of 30+ designers who give honest feedback, share second opinions, and help you think through decisions — people who’ve been in your shoes
• You’ll have a personal mentor to support you. Down the line, you’ll get to be that person for someone else

Requirements

• 5+ years of commercial product design experience, a substantial part of it in an agency or outsourcing setup
• Ability to take a project from 0 to 1 as the only designer on it
• Experience across both web and mobile products (iOS, Android)
• Strong visual craft — work that carries a brand and holds up in use, not just structurally sound layouts
• Experience optimising user journeys against metrics: engagement, conversion, retention
• Experience with UX research and behaviour analysis tools (Hotjar, Amplitude, Google Analytics, etc.)
• Proficiency in Figma (tokens, components, variables, auto-layout)
• Proficiency in modern AI tools for building live demo prototypes and products — Claude Code, Cursor, and similar — and using AI in your workflow without losing quality
• Strong spoken English (B2+ level). You’ll run calls, present and defend solutions, and handle client disagreements directly, alongside the PM.
• A case showing measurable impact on product metrics — required, either in your cover letter or already in your portfolio

What the role actually asks of you

• Identifying the real problem, even when it’s not what the client originally asked for — and being able to explain its importance.
• Adapting the process to the project instead of running the framework to the end
• Identifying the outcome your work should produce, and how anyone would know you met it
• Deciding without complete information — judging business, tech, and budget factors yourself, and acting on it
• Explaining the reasoning behind your solutions to the client, not just presenting layouts

This role is probably not a fit if

• Your answer to “why is it built this way?” is “that’s what the client / PM / Lead asked for”
• You need a detailed PRD or spec before you can start working
• You pass decisions upward instead of bringing a recommendation and the reasoning behind it
• Your case studies show only deliverables — flows, wireframes, a design system, not your reasoning, decisions, or the results.

What we offer

• Remote work format and flexible schedule
• Autonomy in work, opportunity to build processes, and grow within the company
• Individual development plan and annual performance review
• Workshops and playgrounds for continuous learning
• Compensation for subject-matter training
• Corporate English classes
• Access to IT Loyalty Club
• Accounting support
• 18 working days of annual leave
• 7 working days of sick leave and 7 working days of unpaid leave
• All national public holidays off

Recruitment process: Recruitment interview — Technical interview — Final interview

About the client

Our customer is the European online car market, serving over 30 million monthly users and present in 18 countries. As part of their project, they are building an internal AI platform and are looking for a Senior AI Engineer with genuine, hands-on experience building agentic AI systems - not just integrating existing tools.

This is a hands-on engineering role for someone who has real depth in both AI system design and AWS platform engineering, and who can move fluidly between the two to build production-grade, agentic solutions.

While this is a hands-on role, you will also influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed.

Duration is 4-6 months with the possibility of prolongation. 

Time zone: EU or Canadian time zone.

We are ready to consider candidates for part-time cooperation.

Responsibilities:

• Design, build, and maintain agentic AI systems as part of the AI platform
• Work in depth with AWS to build and operate the underlying platform infrastructure
• Design and implement knowledge graph solutions to support AI reasoning and retrieval (e.g. using AWS Neptune or Neo4j)
• Collaborate with cross-functional teams to align the AI platform with business goals and internal use cases
• Troubleshoot and resolve issues across integrated systems to ensure reliable, end-to-end agentic workflows.

Requirements:

• 5+ years of experience in Software Development
• Real, hands-on experience building agentic AI systems - genuine understanding of how they work, beyond just using existing tools or frameworks off the shelf.
• Strong, in-depth AWS experience - real platform engineering depth, not incidental or side use of AWS.
• Strong Python knowledge
• Deep experience building knowledge graphs, ideally with AWS Neptune or Neo4j - especially valuable for this role.
• Experience with LLMs, prompt engineering, and AI integration patterns.
• Strong troubleshooting skills and a collaborative, team-first mindset.
• English level - upper-intermediate (both verbal and written)

Nice to Have:

• Familiarity with MCP (Model Context Protocol).
• Proficiency in infrastructure as code (e.g. CDK in TypeScript/Node.js) to manage AWS services such as Amazon Bedrock and Agent Core.
• Docker/Kubernetes familiarity.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Title: AI Engineer
Reports to: Principal AI Architect
Department: AI & Advisory
Location: Ukraine – Remote
Term: Full-Time

About Atlas Technica

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Position Overview

We are seeking an AI Engineer to join our growing AI & Advisory team in Ukraine. This is a hands-on engineering role focused on building, integrating, testing, and deploying AI-enabled applications and enterprise solutions for sophisticated client environments.

Working under the technical direction of a Principal or Senior AI Architect, the AI Engineer will translate approved architecture and security decisions into working software, integrations, deployment patterns, tests, and technical evidence. This role will build rapid proofs of concept while also helping move successful solutions toward secure, maintainable, and supportable production use.

The successful candidate will combine strong software engineering fundamentals with practical AI, Azure, integration, and security experience. This is not a research-only or prompt-engineering role; we are looking for an engineer who enjoys writing production-quality code, solving complex integration challenges, testing assumptions, and delivering reliable technical solutions.

Position Responsibilities:

• Build rapid proofs of concept and production-ready components for AI-enabled research, data access, document analysis, workflow automation, reconciliation, and internal application use cases
• Develop, review, refactor, test, and maintain application code using Python and other supported development technologies
• Build and integrate REST APIs, MCP components, connectors, webhooks, databases, enterprise applications, and data-integration services
• Connect AI-enabled workflows with Microsoft 365, SharePoint, Microsoft Graph, enterprise data stores, third-party platforms, and approved AI services
• Implement retrieval and data-processing solutions using embeddings, vector or hybrid search, metadata filtering, indexing, and access-aware patterns
• Deploy and operate applications within Microsoft Azure using approved hosting, identity, storage, database, networking, security, and deployment patterns
• Build repeatable development and release processes using Git, CI/CD, Docker, automated testing, and infrastructure automation
• Implement appropriate authentication, authorization, role-based access, secrets management, logging, monitoring, environment separation, and other security controls
• Test AI solutions for reliability, security, model failure, prompt injection, inappropriate data access, unsafe tool use, dependency failure, and other production-readiness risks
• Participate in architecture reviews, code reviews, client technical sessions, troubleshooting, production-readiness assessments, and technical handoffs
• Maintain clear implementation documentation, diagrams, runbooks, testing evidence, and technical decisions while proactively communicating blockers, scope changes, and delivery risks
• Contribute reusable code, deployment templates, testing approaches, connector patterns, and engineering standards to Atlas Technica’s Ukraine-based AI capability

Requirements:

• 5+ years of professional software engineering experience, including recent hands-on work with AI-enabled applications, cloud applications, data systems, or enterprise integrations
• Strong Python development skills with experience building APIs, services, scripts, applications, or data workflows
• Experience with at least one additional production development stack such as C#/.NET, TypeScript/Node.js, Java, or a comparable technology
• Hands-on Microsoft Azure experience across application hosting, identity, storage, databases, secrets management, logging, monitoring, and deployment
• Practical experience with LLM APIs, agentic workflows, retrieval-augmented generation (RAG), embeddings, structured outputs, prompt design, and model limitations
• Experience building or integrating APIs, connectors, MCP components, databases, data platforms, or enterprise workflow systems
• Strong understanding of authentication, authorization, role-based access control, least privilege, environment separation, and secure secrets management
• Experience with Git, CI/CD, Docker, automated testing, production troubleshooting, and modern software-development practices
• Ability to write clean, maintainable, and testable code and clearly explain technical and implementation decisions
• Strong problem-solving, ownership, documentation, and follow-through skills with the ability to work effectively in a remote and collaborative delivery environment
• English proficiency at B2 level or higher, with the ability to participate effectively in technical client discussions and produce clear written documentation

Desirable Qualities:

• Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Agent Framework, or comparable AI orchestration technologies
• Experience with Microsoft Graph, SharePoint Online, Microsoft Entra ID, Microsoft 365, Copilot Studio, or Power Platform
• Experience with technologies such as Azure Functions, Azure Container Apps, App Service, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, or similar data and application platforms
• Experience developing evaluation datasets, regression tests, or other approaches for testing non-deterministic AI components
• Experience moving prototypes, internally developed applications, vendor solutions, or citizen-developed applications toward controlled production use
• Experience supporting financial services, regulated industries, enterprise clients, or other environments with strong security and compliance requirements
• Relevant Microsoft Azure, AI, software engineering, or cloud certifications
• Experience creating reusable engineering patterns, mentoring junior engineers, or contributing to engineering standards and technical knowledge sharing

Lead Engineer | Node.js, React Native, AI Agents

Location: London / hybrid preferred, or remote from Central & Eastern Europe
Level: Mid-to-Senior, hands-on Lead
Employment: Full-time, permanent

About the company

We are an early-stage UK product company building an AI-powered platform focused on professional relationships and network intelligence.

The product combines a social graph, relationship data and an AI agent that helps users identify relevant people, understand their network and strengthen important connections.

We are looking for a Lead Engineer / Founding Senior Engineer who will own the technical architecture, write production code and help grow the engineering team.

This is a hands-on engineering role, not a pure management position.

Tech stack

• Node.js / TypeScript / Express
• React Native + Expo
• MongoDB Atlas
• Atlas Vector Search + BM25 / hybrid retrieval
• OpenAI / custom LLM tool-calling agents
• AWS EC2, Cognito, S3
• Docker, Nginx
• GitHub Actions / CI/CD

Responsibilities

• Own technical architecture and production infrastructure
• Ship features across backend, mobile and AI agent layers
• Build and improve LLM agents, prompts, tool-calling flows and evaluation
• Mentor engineers and establish strong engineering practices
• Implement privacy-by-design and GDPR requirements
• Build and use synthetic data for development, testing and model evaluation
• Own CI/CD, monitoring, secrets management and incident response
• Own application and infrastructure security
• Secure AI agents against prompt injection, data leakage and unintended tool actions
• Work directly with the Founder on product and architecture decisions

Must-have

• 4+ years of professional software engineering experience
• Strong Node.js / TypeScript backend experience
• Experience owning real production systems
• Comfortable across backend, frontend/mobile and infrastructure
• MongoDB or similar document database experience
• Hands-on experience building LLM agents and prompting systems
• Experience with agent tool usage and evaluation
• Practical GDPR and data privacy knowledge
• Strong security fundamentals
• Understanding of AI-agent risks such as prompt injection, data leakage and unintended actions
• Experience working with synthetic data
• Production deployment, monitoring and incident-response experience
• Previous mentoring or technical leadership experience
• Comfortable with ambiguity and a fast-moving startup environment

Nice-to-have

• React Native / Expo
• RAG / vector search
• AWS Cognito
• Previous Tech Lead, CTO or founding engineer experience
• Application security / pentesting background
• Experience securing LLM / AI-agent applications

Compensation

Competitive salary + equity depending on experience and location.

We are looking for someone interested in a long-term role and growing together with the company, not a freelance or short-term contract position.

Domain: Banking & Finance
Experience: 5+ years
Project Duration: August, 2026 – November, 2026(to be extended)
Format: Hybrid
Location: Kraków, Poland

About the Project

We are looking for a Python Developer with AI expertise to join a team of engineers building strategic AI and machine learning solutions that are transforming the Credit and Lending industry.

Working in a dynamic, innovative, and well-established environment, the selected specialist will collaborate closely with business stakeholders to deliver impactful, production-grade AI solutions.

This role is a great fit for an engineer who enjoys leading technical initiatives and applying modern AI technologies to solve complex business challenges.

Responsibilities

• Design, develop, and maintain clean, scalable, and well-tested software solutions
• Lead the architecture and implementation of AI/ML systems, ensuring reliability, scalability, and alignment with long-term platform goals
• Take ownership of major AI initiatives from solution design through deployment and operationalization
• Support and mentor other engineers, promoting engineering excellence, collaboration, and continuous learning
• Help define and promote engineering standards, AI governance practices, and responsible AI principles across the organization
• Contribute to the technical roadmap by researching, evaluating, and prototyping emerging technologies, including advanced RAG approaches, LLM optimization techniques, and agent-based systems
• Collaborate with cross-functional stakeholders to translate business needs into effective technical solutions and clearly communicate complex concepts
• Build advanced AI-powered applications using Retrieval-Augmented Generation (RAG), vector databases, and large-scale financial datasets

Requirements

• 5+ years of strong commercial experience with Python
• At least 6–12 months of hands-on experience within the broader AI/ML ecosystem
• Practical experience with relational databases such as PostgreSQL, vector databases, key-value stores such as Redis, and Pub/Sub messaging systems
• Deep understanding of microservices architecture, API design, observability, and concurrent/distributed systems
• Ability to make and drive architectural decisions in complex technical environments
• Strong knowledge of modern LLM architectures and hands-on experience adapting and fine-tuning models for domain-specific use cases
• Practical expertise in Retrieval-Augmented Generation (RAG), prompt engineering, and related generative AI techniques

Nice to Have

• Exposure to Java, particularly for integration and middleware-related tasks

Tech Stack

• Python
• AI / Machine Learning
• PostgreSQL
• Redis
• Microservices
• APIs
• LLMs
• RAG

Location

• Hybrid from Kraków, Poland
• Important: the client requires office visits in Kraków 8 days per month

Місія ролі:
Розробляти прикладні AI-продукти та сервіси: backend, frontend, API, інтеграції з LLM/ML models, RAG-пайплайни, workflow automation, evaluation logic та production-ready функціональність для користувачів. Це роль не дослідника Data Science, а інженера, який перетворює AI capability у працюючий продукт.

Обов’язки:
-Розробка AI-enabled web applications та internal tools.
-Побудова backend API для AI-сервісів.
-Інтеграція LLM, embeddings, vector search, document pipelines.
-Реалізація RAG/workflow/agent-like сценаріїв там, де це виправдано.
-Побудова UI для користувачів, операторів, аналітиків або адміністраторів.
-Впровадження access control, audit trail, security controls.
-Підготовка технічних прототипів і доведення їх до production-ready стану.
-Спільна робота з BA над уточненням вимог.
-Спільна робота з DevOps/MLOps щодо deployment та monitoring.
-Спільна робота з AppSec щодо threat modeling і security testing.

Вимоги:
- 2+ роки software engineering досвіду;
- Досвід backend-розробки на Python, Go, Java, Node.js або .NET.
- Досвід frontend-розробки: React, Next.js, Angular або Vue.
- Практичний досвід з REST/gRPC API, authN/authZ, role-based access, audit logging.
- Досвід з PostgreSQL або іншими relational DB.
- Розуміння асинхронної обробки: queues, workers, schedulers, event-driven flows.
- Практичний досвід інтеграції з LLM API або open-source LLM.
- Вміння писати тести, робити code review, працювати з CI/CD.
Бажано:
- Досвід RAG: embeddings, vector DB, chunking, retrieval, reranking, source attribution.
- Досвід з LangChain, LlamaIndex, Haystack або власними lightweight orchestration-підходами.
- Досвід з LLM evaluation: golden datasets, regression tests, hallucination checks, prompt/version control.
- Досвід з document processing: OCR, PDF parsing, structured extraction.
- Досвід із secure coding та OWASP ASVS/API Security.
- Досвід побудови internal tools, dashboards, workflow automation.

Умови для цивільних:
-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання
 

Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

Phoenix Games is a fast-growing technology company building next-generation iGaming and Web3 products for a global audience. We leverage cutting-edge technologies including AI, blockchain, and modern cloud infrastructure to create scalable gaming platforms with millions of potential users.

Our engineering culture values ownership, technical excellence, experimentation, and continuous innovation. We're looking for experienced engineers who enjoy solving challenging problems and building products that make an impact.

Your Mission

As a Senior Full-Stack Engineer, you'll work across the entire product stack, building scalable backend services, high-performance frontends, and AI-powered features used by thousands of players worldwide.

You'll collaborate with Product Managers, Designers, and Engineers to shape architecture, improve developer experience, and deliver new platform capabilities.

What You'll Do

• Design and develop scalable backend services with Node.js and TypeScript.
• Build modern React applications with exceptional user experience.
• Integrate AI-powered features using modern LLM APIs and agent-based workflows.
• Design and optimize PostgreSQL databases and backend architecture.
• Build secure REST APIs and real-time services.
• Improve application performance, reliability, and scalability.
• Participate in architectural decisions and code reviews.
• Work with cloud infrastructure and CI/CD pipelines.
• Collaborate on innovative Web3 and blockchain integrations.

Tech Stack

• Node.js
• TypeScript
• React
• Next.js
• PostgreSQL
• Prisma / TypeORM
• Redis
• Docker
• Kubernetes
• AWS
• GitHub Actions
• REST API
• WebSockets
• Tailwind CSS
• OpenAI / Claude APIs
• LangChain / AI SDKs (nice to have)

We're Looking For

• 2+ years of commercial experience with Node.js.
• Strong React and TypeScript skills.
• Experience designing scalable backend architectures.
• Solid knowledge of PostgreSQL and database optimization.
• Experience building REST APIs.
• Understanding of asynchronous programming and distributed systems.
• Experience with Docker and cloud infrastructure.
• Knowledge of CI/CD pipelines.
• Strong problem-solving skills.
• Upper-Intermediate English or higher.

Nice to Have

• Experience with AI applications, LLMs or prompt engineering.
• Experience building AI agents or workflow automation.
• Kubernetes experience.
• Web3 or blockchain integrations.
• Experience in high-load systems.
• Experience with Redis or message queues.
• Background in product companies or SaaS.

What We Offer

Work on cutting-edge AI, Web3 and gaming products with real technical challenges.

Fully remote work from anywhere in Europe.

Long-term B2B cooperation.

Highly competitive compensation in EUR or USD.

Regular salary reviews based on performance.

Annual performance bonus.

25 paid vacation days.

Paid sick leave.

Company laptop or equipment budget.

Home office allowance.

Personal learning budget for courses, books and conferences.

Paid certifications and technical training.

English language classes.

Private health insurance.

Mental health support program.

Sports and wellness compensation.

Team retreats and international offsites.

Flexible working hours with a healthy work-life balance.

Flat hierarchy where engineers influence technical decisions.

Opportunity to grow into Tech Lead or Staff Engineer as the company scales.

Why Phoenix Games?

You'll join an international engineering team building products from scratch with modern technologies—without legacy code or unnecessary bureaucracy. We value clean architecture, ownership, continuous learning, and engineers who love creating impactful software.

If you're passionate about full-stack development, AI, and building scalable products, we'd love to hear from you.

We are looking for a Technical AI Programmer to own AI systems for our multiplayer shooter. They will build smart, combat-driven AI for bots, drones, bosses, and gameplay scenarios across PvE and PvPvE modes.
 

This is a full-time remote role, and we welcome applications from anywhere in the world, provided your working hours align reasonably with our core office time zones (CET).
 

Key Responsibilities:

• Build AI systems in Unreal Engine 5 using Behavior Trees, EQS, and AI Perception
• Develop AI for bots (TDM, BR, Extraction), drones, turrets, and bosses
• Implement combat behaviors: cover, flanking, aggression, retreat, squad coordination
• Create traversal AI: parachute, grapple, mantle, and navigation systems
• Design boss AI with phases, abilities, and attack patterns
• Support gameplay systems like side quests, hostage rescue, and extraction scenarios
• Tune AI for balance, readability, and combat feel

• Ensure AI works correctly in multiplayer (PvPvE and team modes)

   

Requirements:

• Strong Unreal Engine AI experience (UE4/UE5)
• Experience with Behavior Trees, EQS, AI Perception, Navigation
• Shooter AI experience (FPS/TPS games)
• Understanding of multiplayer AI behavior and replication basics
• Strong Blueprints skills and C++
   

Nice-to-Haves:

• Experience with extraction or battle royale games
• Boss AI / multi-phase encounter design experience
• Knowledge of traversal systems (grapple, parachute, mantling)
• Shipped multiplayer shooter experience

Smart Capital Center is an AI-powered platform transforming Commercial Real Estate (CRE) investment and financial management. Our platform combines real-time market data, financial modeling, workflow automation, and Generative AI to power underwriting, asset management, and portfolio analytics.

Operating at the intersection of AI, finance, and commercial real estate, we are building software that replaces manual, spreadsheet-driven workflows with intelligent, scalable systems.

Our clients include leading institutions such as JLL, Pacific Life Insurance Company, and KeyBank. We are a lean, high-performance engineering organization solving complex problems in a $17 trillion industry.

Learn more at www.smartcapitalcenter.com

The Role

We are looking for an Engineering Manager who combines strong technical leadership with exceptional people management and execution.

This is a hands-on leadership role. While your primary responsibility is building and leading a high-performing engineering team, you will remain deeply involved in technical direction, architecture, AI adoption, and engineering excellence.

You will partner closely with Product, Design, Data, AI, and executive leadership to translate business objectives into scalable technical solutions while fostering an engineering culture centered on ownership, innovation, continuous improvement, and rapid execution.

As an engineering leader, you will help shape not only what we build, but how we build it—leveraging AI to improve both our products and our engineering processes.

What You'll Do

Engineering Leadership

• Lead, mentor, and grow a team of high-performing software engineers.
• Build a culture of ownership, accountability, technical excellence, and continuous learning.
• Recruit, hire, and retain exceptional engineering talent.
• Coach engineers through regular one-on-ones, performance feedback, and career development.
• Foster psychological safety while maintaining high performance standards.
• Develop future technical leaders within the organization.

Technical Leadership

• Drive technical direction alongside senior engineers and architects.
• Review system architecture and technical designs.
• Guide architectural decisions that improve scalability, reliability, maintainability, and security.
• Balance long-term platform evolution with near-term product delivery.
• Establish engineering standards, coding practices, testing strategies, and documentation expectations.
• Drive continuous improvement across engineering processes and developer experience.

AI Engineering Leadership

• Partner with AI engineers to build and operate AI-powered product capabilities.
• Establish best practices for integrating Large Language Models (LLMs) into production systems.
• Promote responsible AI engineering, including evaluation, monitoring, security, and governance.
• Drive adoption of AI-assisted software development tools to improve engineering productivity.
• Evaluate emerging AI technologies and recommend practical adoption where they create measurable business value.
• Help engineers effectively leverage modern AI development tools including GitHub Copilot, Cursor, Claude Code, and similar platforms.

Delivery & Execution

• Own engineering execution across multiple initiatives and product domains.
• Partner with Product Managers to define roadmaps, priorities, estimates, and delivery plans.
• Remove blockers and enable teams to execute efficiently.
• Drive predictable software delivery without compromising engineering quality.
• Continuously improve planning, estimation, release management, and Agile execution.
• Ensure successful delivery of customer-facing features and internal platform improvements.

Platform & Operational Excellence

• Drive improvements in platform reliability, scalability, observability, and operational excellence.
• Improve CI/CD pipelines, automated testing, deployment processes, and developer productivity.
• Establish engineering metrics including deployment frequency, lead time, reliability, defect rates, and operational health.
• Promote ownership of production systems and operational excellence.
• Support incident response, root cause analysis, and continuous improvement initiatives.

Cross-Functional Collaboration

• Partner closely with Product, UX, AI, Data, and Customer Success teams.
• Communicate technical strategy and project status to stakeholders.
• Align engineering priorities with company objectives.
• Participate actively in product planning and strategic decision making.

Requirements

Leadership

• Significant experience building and delivering production software.
• Experience leading software engineering teams in fast-moving environments.
• Proven success hiring, mentoring, and developing engineers.
• Strong coaching, communication, and organizational skills.
• Demonstrated ability to build high-performing engineering teams.
• Ability to influence across technical and business organizations.

Technical Background

• Strong experience building and shipping modern full-stack applications.
• Expertise with modern frontend technologies including React, TypeScript, and JavaScript.
• Strong backend experience using Java/Spring Boot and/or Python.
• Experience designing scalable APIs and distributed systems.
• Strong understanding of relational databases (PostgreSQL preferred).
• Experience building cloud-native applications on AWS or similar cloud platforms.
• Solid understanding of software architecture, security, scalability, and system reliability.

AI & Modern Engineering

• Experience building, integrating, or operating AI-powered applications.
• Understanding of LLMs, prompt engineering, structured outputs, tool/function calling, and Retrieval-Augmented Generation (RAG).
• Familiarity with vector databases, embeddings, semantic search, or AI orchestration frameworks is a plus.
• Experience using AI-assisted software development tools to improve engineering productivity.
• Ability to evaluate emerging AI technologies and drive practical adoption across engineering teams.
• Understanding of AI security, governance, and responsible AI practices.

Engineering Management

• Experience leading Agile software development.
• Strong understanding of modern software delivery practices.
• Experience balancing engineering quality with delivery speed.
• Ability to manage multiple priorities in a fast-paced environment.
• Data-driven approach to planning, execution, and continuous improvement.
• Experience defining and tracking engineering performance metrics.

Core Competencies

• Technical leadership
• Strategic thinking
• Ownership mindset
• Strong execution
• Excellent communication
• Coaching and mentoring
• Systems thinking
• Pragmatic decision making
• Continuous improvement
• Customer-focused problem solving

Nice to Have

• Commercial Real Estate (CRE), financial systems, or analytics platform experience.
• Experience with event-driven or microservice architectures.
• Experience with Kubernetes, Docker, Terraform, or Infrastructure as Code.
• Experience with observability platforms such as Datadog, Grafana, Prometheus, or OpenTelemetry.
• Experience with high-volume data processing and distributed systems.
• Experience scaling engineering teams in startup or high-growth environments.

Why Join Smart Capital Center

• Lead engineering for an AI-native platform transforming Commercial Real Estate.
• Shape engineering culture, architecture, and technical strategy.
• Build products used by leading financial institutions.
• Work directly with founders and executive leadership.
• Solve complex challenges across AI, financial modeling, and large-scale data.
• Build an engineering organization where AI accelerates both product innovation and developer productivity.
• Operate with high ownership, rapid decision-making, and minimal bureaucracy.

Location: Europe only
Employment type: Full-time, Remote
 

About the Role

We're looking for a Middle/Senior Generative AI / Machine Learning Engineer to help build production-grade AI systems from classical ML and deep learning models to modern LLM-powered applications. 
You'll work across the full lifecycle: designing and training models, building RAG and agentic pipelines, and deploying everything into scalable, well-architected production systems.

This role blends hands-on ML engineering with GenAI/LLM development, MLOps, and data engineering, ideal for someone who enjoys working across the stack rather than staying in one narrow lane.
 

What You'll Do

• Design, train, and deploy classical ML and deep learning models (PyTorch, TensorFlow/Keras, scikit-learn) for tasks such as time series analysis, anomaly detection, forecasting, and optimization.
• Build production LLM applications: RAG pipelines, embeddings, semantic search, document processing, and chunking strategies.
• Develop AI agents and multi-step workflows using LangChain, LangGraph, and MCP (Model Context Protocol).
• Apply prompt engineering best practices to improve reliability and output quality of LLM-based systems.
• Deploy and serve models using Docker, Kubernetes, and FastAPI/Flask.
• Build and maintain data pipelines (ETL/ELT) using Apache Airflow, Spark/Databricks, and BigQuery, with a focus on data quality.
• Contribute to system architecture decisions — applying principles like Domain-Driven Design, event-driven architecture, and microservices to build highly available, distributed systems.
• Work with cloud infrastructure, primarily Azure (AWS experience is a plus); experience with Azure OpenAI is a strong advantage.
   

What We're Looking For

Core:

• Strong Python skills with solid experience in classical ML and deep learning (PyTorch, TensorFlow/Keras, scikit-learn).

GenAI / LLM:

• Hands-on experience building production LLM applications: RAG, embeddings, chunking, semantic search, document processing.
• Experience with LangChain, LangGraph, AI agents, and MCP (Model Context Protocol).
• Solid understanding of prompt engineering.

Machine Learning / Data Science:

• Experience with deep learning and classical ML techniques applied to time series, anomaly detection, forecasting, and optimization problems.

MLOps / Deployment:

• Experience with Docker, Kubernetes, and model serving via FastAPI or Flask.

Data Engineering:

• Experience with ETL/ELT processes, Apache Airflow, Spark/Databricks, BigQuery, and building reliable data pipelines with strong data quality practices.

Cloud:

• Experience with Azure (preferred); AWS experience is a plus. Experience with Azure OpenAI is an advantage.

Architecture / System Design:

• Familiarity with architecture frameworks and practices such as TOGAF, C4, ArchiMate, Domain-Driven Design, event-driven architecture, high availability, distributed systems, and microservices.

We offer:

• Remote Work Environment. Work from anywhere and be part of a geographically diverse team;
• Stay Ahead of the Curve. Work with cutting-edge technologies;
• Possibility to influence on processes;
• Paid 16 vacations and 14 sick leaves per year;
• Flexible working hours;
• Possibility of payment by FOP, or Payoneer/Wise;
• Compensation program for purchasing new laptops;
• Paid professional certifications & educational courses;
• Paid English classes;
• Friendly atmosphere with quarterly team buildings;
• No bureaucracy.
   

We respect your time, so inform in advance that the hiring process includes a 2-step interview:

• General interview
• Technical interview

Please note that a background check (reference check) is a mandatory stage of our interview process for this role.
 

Ready to try your hand? Do not pull the cat’s tail and send your CV without a doubt!

For those candidates who don’t get any feedback after applying: We are so thankful for your time and attention to our vacancy! However, sometimes we get too many CVs at once, and it would take several days to answer them all. That’s why we reach out only to relevant candidates. We hope for your understanding.

About Our Client:

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role:

We are looking for a Senior Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies.

Responsibilities:

• Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations
• Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search
• Integrate multiple LLM/model providers with secure configuration and graceful degradation
• Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations
• Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team's production-support model
• Investigate incidents, drive root-cause analysis, and ship durable fixes
• Design for permissions, tool approvals, multi-tenancy, and customer-data governance
• Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code.

Required Qualifications:

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 7+ years of relevant experience, or equivalent demonstrated senior-level impact
• Strong Java software engineering skills
• Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility
• Solid background in distributed systems, microservices, cloud services, or data-intensive backends
• Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems
• Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations
• Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery
• SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage
• Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings.

Desired Skills:

• LangChain4j or similar agent frameworks
• Python for AI services, evaluation harnesses, or sandboxed execution
• React and TypeScript
• gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures
• Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems
• AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics
• OpenSearch operations: index lifecycle management, relevance tuning, incident response
• Open-source contributions.

Details:

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

About Us

We are a fast-growing and leading company in the AI Voice space for the iGaming industry. Our AI Voice & Messaging Player Activation Platform helps casino and betting operators turn registrations into deposits and reactivate inactive players — improving Reg→Dep conversion and player LTV at a scale human call centers can't match. Our product is already used by 20+ brands across 8+ geographies. We are funded and building a team of top-tier talent.

Who We're Looking For

We're looking for a detail-oriented Operations Manager who will be the backbone of our daily operational process. You'll be responsible for data accuracy, active campaign monitoring, and vendor communication — making sure everything runs smoothly and any deviations are caught and resolved immediately.

Tasks

• Managing voice platform accounts: creating new ones, configuration, top-ups
• Communication with vendors (telephony, SMS): onboarding new ones, resolving issues with existing ones
• Working in the company's internal operations platform: data operations
• Client onboarding: creating client profiles in the platform, handing off the brief to the internal team
• Daily morning checklist control of active campaigns: comparing metrics against acceptable thresholds, checking client database uploads, confirming campaigns are running and haven't stopped, updating campaign statuses in the project management system
• Immediate escalation of deviations to the responsible manager
• Helping with monitoring and generation of Telegram accounts

Requirements

Must-have

• Accuracy with data. Transfers values between systems without errors, double-checks own work after filling in. Understands that one typo = a broken campaign.
• Execution discipline. Completes the daily checklist independently, at the same time, without reminders and without skipped items.
• Ability to compare fact against norm. Looks at a set of numbers and thresholds and spots what's out of range.
• Escalation reflex, not self-diagnosis. Sees a deviation → reports it immediately. Doesn't dig into it alone, doesn't hold onto it until end of day, isn't afraid to report bad news.
• Text communication as the primary work tool. Formulates requests briefly and clearly, runs several parallel chat threads without losing track.
• Persistence in driving an issue to resolution. With vendors: onboarding a new one, extracting an answer on an existing one. Doesn't stop at "they didn't respond."
• Learning agility. Picks up an unfamiliar interface or process from documentation and one walkthrough, then works independently.
• English B1, written.

Nice to Have

• Understanding of SIP trunking and telephony/SMS infrastructure is a plus.
• Experience communicating with vendors/providers.

What we offer

• Fully remote work format and flexible working hours.
• Competitive salary pegged to USD + performance bonuses.
• 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.

We are the creators of a new fintech era!

Our mission is to change this world by making blockchain accessible to everyone in everyday life. The team in Ukraine is part of the global WhiteBIT team, which unites more than 1,200 professionals worldwide. Each of our employees is fully engaged in creating a new world order in the Web3 era.

We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell,FACEIT and VISA.

The future of Web3 starts with you: join us as a Talent Sourcer!

Requirements

— 1+ year of proven experience in IT sourcing or lead generation.

— Strong command of deep search and outreach strategies beyond LinkedIn (GitHub, Discord, Telegram, Twitter, etc.).

— Hands-on experience working with ATS, CRM, and AI tools.

— Ability to effectively manage talent pipelines and segment candidate pools.

— Experience sourcing for Web3, Crypto, or Tech profiles will be a strong plus.

— English proficiency at an Upper-Intermediate level (B2) or higher.

— Strong communication skills and a proactive mindset.

Responsibilities

— Build and maintain active candidate pipelines for high-priority roles.

— Utilize alternative and niche sourcing channels (GitHub, Discord, Telegram, Twitter, online communities, etc.) to identify top talent.

— Develop tailored outreach strategies per role and target audience.

— Partner closely with recruiters to ensure a seamless candidate handover process.

— Leverage ATS, CRM, and AI tools to streamline sourcing workflows and maintain accurate candidate records.

— Continuously research and map talent markets, tracking sourcing funnel metrics to improve search efficiency.

Working terms

Achieve Big Goals With Us:  

We provide everything you need for success.  

Modern equipment.  

Сomfortable working conditions, and an inspiring environment to help you thrive.  

Work-Life Balance Matters:  

24 сalendar days break for rest.  

Additional days off for national holidays.  

Driven by development:  

Access to exclusive crypto education courses.  

Opportunities for external training.

Global Collaboration:  

Work alongside professionals from around the world, exchange experiences, and contribute to unique projects.  

Care Beyond Work:  

We provide time and support during life’s most important moments.  

With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!  

Let’s Build the Future Together!  

Join.To.IT is a Ukrainian outsourcing IT company founded in 2012, delivering software solutions across various business domains.

We help our clients find the right product solutions even before development starts. Our Research Team conducts market and competitor research, validates product hypotheses, creates interactive prototypes, and helps clients make informed business decisions.

We are looking for a Business Analyst who thinks like a product consultant, actively uses AI tools, and focuses on creating real business value for clients.

Responsibilities

• Analyze client business needs and translate them into clear requirements
• Conduct Product Discovery, Benchmark Research, and Business Research
• Analyze competitors, markets, and successful digital products
• Prepare User Stories, Use Cases, Acceptance Criteria, and project documentation
• Collaborate with UX/UI Designers on clickable prototypes and product hypothesis validation
• Use AI tools for research, analysis, documentation, and prototyping
• Participate in presales, project estimation, and preparation of client proposals
• Collaborate with Developers and QA throughout product implementation
• Validate implemented functionality against business requirements
• Proactively suggest product improvements and new solutions that create business value

Requirements

• 2+ years of commercial experience as a Business Analyst
• English — Upper-Intermediate (B2+)
• Hands-on experience with Product Discovery, requirements gathering, and competitor/market research
• Ability to analyze business processes and propose solutions, not just document requirements
• Experience with User Stories, Use Cases, Acceptance Criteria
• Experience with Figma and understanding of clickable prototyping
• Confident use of AI tools such as ChatGPT, Claude, Gemini, Lovable, or similar
• Understanding of SDLC and Agile/Scrum
• Strong analytical and communication skills, proactivity, and ownership

Nice to Have

• Experience in an outsourcing company and/or presales
• Knowledge of BPMN and UML
• Experience with Customer Journey Maps, User Flows, or Product Vision
• Experience with AI prototyping tools such as Lovable, Bolt, v0, Figma AI, or similar

We Offer

• Office-based work in Kyiv, near Vasylkivska metro station
• Working hours: 10:00–19:00, Monday–Friday
• Comfortable office with a shelter, Starlink, and uninterrupted power supply
• Medical insurance
• Paid vacation and sick leave
• Free gym access near the office
• Compensation for professional courses and development
• Supportive team and opportunities for professional growth

We’re looking for a strong UI/UX Designer with 3+ years of experience who can create intuitive, modern product interfaces and actively use Claude / AI tools in daily work.

You’ll work closely with product managers, developers and stakeholders on web and mobile products, from early ideas and user flows to polished UI and design systems.

Requirements

• 3+ years of UI/UX design experience
• Strong Figma skills
• Solid UX and UI fundamentals
• Experience with Design Systems
• Strong understanding of responsive design
• Experience with user flows, wireframes and prototypes
• Ability to work with product metrics and user feedback
• Strong communication and collaboration skills
• Hands-on experience with Claude and other AI tools
• Ability to use AI for research, ideation, UX analysis and workflow automation

• Strong prompting skills and ability to critically evaluate AI-generated results

   

Nice to have

• Basic HTML/CSS/React knowledge
• Understanding of frontend limitations and implementation
• Graphic design skills
• Experience creating presentations and pitch decks

We’re looking for someone who is product-minded, proactive and comfortable experimenting with new AI-powered design workflows.

Please send your portfolio and briefly describe how you currently use Claude or other AI tools in your design process.