Jobs AI

We are looking for a Middle/Senior ML Engineer to turn loosely framed business problems into reliable, actionable models for a proprietary trading platform that connects traders with funding opportunities. You will work in a high-load, low-latency environment processing millions of events in real time, taking ownership from problem framing and feature engineering through model testing and business-ready results.

Required for this role

• Solid grounding in machine learning theory, with the ability to explain and justify modeling decisions beyond library calls
• Experience in building supervised (churn, customer decision) and unsupervised (clustering, identifying anomalies) risk models
• Experience building causal models (A/B testing, control groups, uplift modeling) and identifying why something happened
• Experience with survival analysis or time-to-event modeling
• Practical experience with XGBoost or other gradient boosting methods (GBM)
• Understanding of logistic regression and its practical application to business problems
• Hands-on experience with Python, NumPy, SciPy, Pandas, and Scikit-learn
• Experience working with PySpark, including MLlib, for data processing and machine learning
• Knowledge of hierarchical modeling methods and when to apply them
• Experience using MLflow or comparable experiment and model tracking tools
• Ability to independently frame a problem from rough context, engineer features, build and test models, and translate results into actions the business can use
• Strong communication and comfort with ambiguity, including asking questions and flagging unclear assumptions early
• Fluent spoken English (B2)

Nice to have

• Familiarity with Microsoft Fabric
• FinTech background.

Your responsibilities

• Take loosely framed business problems and develop appropriate ML solutions from scratch.
• Explore data, test hypotheses, and iterate on potential approaches in notebooks.
• Engineer features and build models using gradient boosting, logistic regression, survival analysis, or hierarchical methods, depending on the problem.
• Select rigorous, relevant evaluation metrics based on the business objective and modeling approach.
• Validate whether models hold up against the available data and intended use case.
• Translate experimental findings and model results into clear, actionable outcomes for the business.
• Challenge problem framing when assumptions do not hold, and communicate questions, risks, or blockers early.

What you get

Your time off

• 18 paid vacation days and 10 paid sick days annually
• 10 Ukrainian public holidays
• Maternity and paternity leaves
• Marriage and Parenthood Package
• Additional leave for major life events
• Sabbatical leave opportunities

Learning & growth

• Sombra University workshops and internal learning programs
• Tech Communities and knowledge sharing sessions
• Language courses and workshops
• Mentorship opportunities

Health & well-being

• Sports compensation or health insurance coverage
• Participation in races and marathons
• Corporate doctor (telemedicine)
• Well-being initiatives and workshops

And even more

• Company-provided technical equipment
• PE administration and tax support
• Internal referral program
• IT Club loyalty program
• Company events and volunteering initiatives

Before you apply

Our recruitment team will carefully review your profile, and if we see a good match with the role, we’ll reach out to you shortly.

If you don’t hear from us within 5 business days, it means we’ve decided to continue the process with other candidates for this position. Thanks for understanding.

A small AI startup in the US is looking for an independent person to own testing and customer communication. Our products run over SMS, RCS, WhatsApp and web.

The main thing: you talk and write with the US leadership, team and clients in English every day. Without that this role will not work.

What you will do

Test the products by hand on real devices and over time build test automation. Keep release checklists and write bug reports. Answer clients, help users get started and bring their feedback back to the team. We provide a US phone number for testing.

How we work

You own quality for the products you test. You learn each product, decide what needs testing and when, plan your own work, ask your own questions and bring things to the finish. We give direction and priorities, not a task list. Small team, nobody will hold your hand.

Terms

Ten to twenty hours a week, more during releases. Start as soon as possible, long term. Remote, with overlap with the US East Coast working day. Fixed monthly pay in USD, contract with a US company.

Requirements

Fluent spoken and written English (C1 or above). Experience with manual testing of web and mobile or messaging products. Basic test automation skills. Clear and short writing. Your own Android phone with eSIM support.
 

Nice to have

Twilio or WhatsApp Business experience. Customer success or support experience in SaaS. Work under SOC 2.

In your application, in English
 

Where and with whom you used English at work. Which messaging or mobile product you tested and how you decided what to test. One example of your bug report. Your automation experience, if any. Hours per week you can give and your expected monthly pay.

Hi, 

Tallium is building small AI-native delivery teams around one key person, the AI Product Engineer. You'll own a product from the first client call to a working solution. You'll run discovery, define the scope and write the specs, then build MVPs, internal tools, integrations and AI agents yourself with Claude Code and N8N. Senior engineers, designers and QA will support you where their expertise is needed.

We're looking for a builder who would rather show a working prototype than write 20 pages of specs, and who checks AI-generated code instead of trusting it blindly.
 

What you'll do

• Run discovery and workshops with clients, then turn their business needs into requirements, an MVP scope and a delivery plan
• Write structured specs (PRDs, architecture, stories) that guide both the team and AI agents
• Build prototypes, MVPs, integrations, AI agents and N8N workflows end to end
• Involve Senior Devs, Designers and QA when needed, and own the quality of the final result
• Demo to clients, iterate on their feedback, and support pre-sale with estimates and proofs of concept
   

Must have

• 4+ years as a BA, System Analyst, Product Owner or Solutions Engineer, or as a developer who moved into a product role
• Hands-on experience shipping software with AI coding agents (Claude Code, Cursor or similar), including reading, debugging and iterating on the code
• Knowledge of Spec-Driven Development, BMAD or a similar structured approach
• Strong N8N skills (or advanced Make/Zapier), including webhooks and error handling
• Experience building LLM-powered agents and workflows: prompting, tool calling, RAG basics
• Solid grasp of REST APIs, auth, databases and SQL, and integrations
• Working knowledge of JS/TS or Python, plus basic Git and deployment (Vercel, Supabase, Docker)
• BA toolkit: user stories, process modelling (BPMN/UML/ERD), Jira/Confluence
• Upper-Intermediate+ English and confidence leading client meetings independently
   

Nice to have

• Portfolio or demos of things you've built yourself (big plus)
• Pre-sale experience
• MCP, Agent SDKs, vector databases
• Healthcare, FinTech or EdTech background
   

What we offer

• Competitive placement bonuses for every successful hire, scaled by seniority level
• An additional Engagement Fee for active search work, so your effort is rewarded, not only closed positions
• Diverse roles across tech, AI, fintech, healthcare and education
• Fully remote, flexible collaboration

Location: Remote, worldwide (except Russia)
Employment: Full-time
Duration: Long-term
Rate: Up to $30/hour
English: B2+/C1
Start: ASAP

About the Role

We are looking for an experienced Senior Azure Data Architect with strong expertise in enterprise data architecture and proven experience designing production-ready data platforms supporting Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Agentic AI applications.

The ideal candidate has a strong background in Azure data services, particularly Azure Cosmos DB and Azure Synapse Analytics, and has personally designed or taken architectural ownership of enterprise data solutions used by AI-powered applications.

Important: This is a Data Architecture role, not an AI/ML Engineering position. Hands-on development of RAG pipelines or AI agents is not required. The primary focus is designing scalable, reliable, AI-ready enterprise data architectures.

Key Responsibilities

• Design and own enterprise-scale data architectures within the Microsoft Azure ecosystem.
• Architect production-ready data platforms supporting GenAI, RAG, and Agentic AI applications.
• Design data ingestion, transformation, storage, and retrieval architectures for structured and unstructured enterprise data.
• Define AI-ready data architecture patterns, ensuring enterprise knowledge is accessible to AI-powered applications.
• Design and optimize solutions using Azure Cosmos DB, Azure Synapse Analytics, and related Azure data services.
• Develop scalable, metadata-driven and configuration-driven data ingestion frameworks.
• Design data models, lakehouse architectures, and enterprise data integration patterns.
• Lead architectural decisions related to data platform modernization, scalability, reliability, and performance.
• Ensure appropriate data governance, security, accessibility, and maintainability.
• Collaborate with engineering, AI, and business teams to align data architecture with application requirements.

Must-Have Requirements

• Strong expertise in enterprise Azure Data Architecture.
• Deep hands-on architectural experience with Azure Cosmos DB — mandatory.
• Strong experience with Azure Synapse Analytics.
• Proven experience designing production-ready data architectures for GenAI, RAG, or Agentic AI applications.
• Direct involvement in at least one real-world project where you designed or owned the data architecture supporting RAG, GenAI, or AI-agent applications.
• Demonstrated ability to independently design and take ownership of complex enterprise data architectures.
• Experience designing AI-ready data platforms, including data ingestion, preparation, storage, governance, and retrieval.
• Understanding of enterprise knowledge management and data accessibility requirements for AI applications.
• Experience working with structured and unstructured data.
• Strong data modeling, system integration, and architecture modernization skills.
• Experience designing scalable and reliable production data platforms.
• English B2+/C1.

Please note: Theoretical knowledge of RAG or Agentic AI is not sufficient. Candidates must demonstrate practical architectural experience and clearly explain their personal responsibilities and contributions to production projects.

Additional Technical Skills

• Azure Databricks
• Azure SQL Managed Instance / SQL Server / T-SQL
• Azure Data Lake Storage
• Lakehouse Architecture
• Azure Functions
• Metadata-driven and configuration-driven ingestion frameworks
• Enterprise data platform modernization
• Data governance and integration patterns
• Data retrieval and knowledge management architectures

What We Offer

• Fully remote collaboration from anywhere in the world (except Russia).
• Long-term, full-time engagement.
• Competitive hourly rate up to $30.
• Opportunity to work on enterprise-scale Azure data platforms supporting modern GenAI applications.
• Technically challenging projects with significant architectural ownership.
• ASAP start.

Recruitment Process

Interview stages: To be confirmed.

Interested?

Please send your CV along with a brief description of a production project where you personally designed or owned the data architecture for a GenAI, RAG, or Agentic AI application. Highlight your experience with Azure Cosmos DB and Azure Synapse Analytics.

Our Team

VistaCreate is an intuitive graphic design platform that empowers anyone to create professional-quality content—no design experience required. Whether it's for social media, marketing campaigns, presentations, or personal projects, VistaCreate combines an easy-to-use editor with a vast library of millions of templates, photos, videos, illustrations, fonts, and design assets to help bring ideas to life.

As part of the Vista family, our globally distributed team is passionate about making great design accessible to everyone. We collaborate across countries and time zones, embracing creativity, innovation, and a remote-first culture as we continue to grow our product and the community that uses it every day.

What You Will Do

As a Senior Organic Growth Manager, you own the organic acquisition strategy for VistaCreate and Depositphotos. You are responsible for turning company growth objectives into measurable organic acquisition results through technical SEO, content strategy, AI Search optimization, experimentation, and cross-functional execution.

You lead the SEO function, develop the team's capabilities, and build scalable systems that improve how customers discover our products across Google Search, AI search experiences, and emerging discovery channels. Success in this role is measured by sustainable growth in qualified organic traffic, conversions, and business impact.

Organic Growth Strategy & Leadership

• Organic Growth Roadmap. Own the quarterly and annual organic growth roadmap aligned with company objectives and marketing priorities across VistaCreate and Depositphotos.
• OKR Leadership. Translate company acquisition objectives into measurable SEO Key Results (KRs), prioritize initiatives based on business impact, and regularly communicate progress, risks, and opportunities to leadership.
• Strategic Prioritization. Build business cases for major SEO initiatives, balancing expected impact, engineering effort, and resource allocation to maximize ROI.
• Competitive Intelligence. Continuously monitor competitors, industry trends, search behavior, and AI search developments to identify new growth opportunities and shape strategic direction.
• Cross-functional Leadership. Partner closely with Product, Engineering, Content, Analytics, Lifecycle Marketing, and Brand teams to embed organic growth considerations into product development and marketing initiatives.

Organic Growth Execution & Experimentation

• Technical SEO Excellence. Own technical SEO across both products, including site architecture, crawlability, indexation, rendering, structured data, international SEO, Core Web Vitals, and scalable technical improvements.
• AI Search Optimization. Develop strategies that improve visibility across Google Search, AI Overviews, LLM-powered search experiences, and other emerging discovery channels through technical optimization, structured data, and multi-format content.
• SEO Experimentation. Build an experimentation culture within the team by generating hypotheses, designing and running SEO A/B tests, measuring results, and scaling successful approaches across the business.
• Scalable Content Strategy. Partner with Content and Product teams to develop scalable, search-driven content strategies that support both traditional search and AI-driven discovery.
• Authority & Off-page Growth. Own scalable authority-building initiatives, including digital PR, strategic partnerships, outreach, guest posting, and other sustainable link acquisition programs.

Operational Excellence & Team Leadership

• People Leadership. Lead, coach, and develop a high-performing SEO team through hiring, performance management, career development, and continuous feedback.
• AI-powered SEO Operations. Build scalable SEO operating systems by leveraging AI and automation to improve keyword research, clustering, technical audits, monitoring, reporting, documentation, and internal team workflows.
• SEO Operations. Establish scalable planning, execution, reporting, and knowledge-sharing processes that enable the team to consistently deliver against quarterly priorities.
• Performance Reporting. Own SEO forecasting, dashboards, and executive reporting, providing clear visibility into performance, business impact, opportunities, and risks.
• Algorithm Resilience. Develop proactive monitoring and response frameworks for Google algorithm updates and evolving AI search ecosystems to minimize business risk and accelerate recovery.

Your Qualifications

At VistaPrint, we are striving to hire individuals that add new ideas and perspectives to our teams and enhance our culture. No matter your background or work experience, we strongly encourage you to apply—even if you feel that you don’t meet the exact requirements or have the same qualifications. You might be a great candidate for this or other opportunities.

Experience

• 5+ years of hands-on SEO experience, ideally within a marketplace, SaaS company, or multi-million-page website.
• 2+ years leading SEO teams or large cross-functional SEO initiatives.
• Proven record of delivering sustained organic traffic, conversion, and business growth through technical SEO, content strategy, and experimentation.
• Experience translating company objectives into SEO roadmaps, measurable Key Results (KRs), and execution plans.
• Demonstrated success influencing Product, Engineering, Analytics, and Marketing teams without direct authority.

Technical Expertise

• Deep expertise in technical SEO, including crawlability, rendering, indexation, site architecture, international SEO, structured data, Core Web Vitals, and JavaScript SEO.
• Strong understanding of Product SEO and optimizing acquisition across key user journeys.
• Experience developing strategies for Google AI Overviews, LLM visibility, and emerging AI search experiences.
• Strong knowledge of scalable off-page SEO, digital PR, authority building, and link acquisition strategies.
• Hands-on expertise with industry-standard tools such as GA4, Google Search Console, Ahrefs, Semrush, Screaming Frog, JetOctopus, Similarweb, Jira, and Looker Studio (or equivalent).

AI & Automation

• Proven experience using AI and workflow automation to improve SEO research, technical audits, keyword clustering, monitoring, reporting, documentation, and team operations.
• Experience designing scalable AI-assisted workflows that increase team productivity and improve decision-making.
• Strong understanding of how AI is changing search behavior and organic acquisition.

Analytics & Experimentation

• Strong analytical mindset with the ability to turn data into strategic decisions.
• Proven record of designing, executing, and scaling SEO A/B experiments that delivered measurable business impact.
• Experience identifying growth opportunities through experimentation, funnel analysis, and search data.

Leadership & Communication

• Strong organizational and prioritization skills with the ability to translate ambitious quarterly goals into clear execution plans.
• Excellent stakeholder management and influence across Product, Engineering, Marketing, and Leadership teams.
• Experience mentoring SEO professionals and building high-performing teams.
• Advanced English (B2+ or higher) with excellent written and verbal communication skills.

Nice to Have:

• Experience managing App Store Optimization (ASO) for mobile products.
• Experience working with marketplaces, design tools, stock content platforms, or other user-generated content ecosystems.
• Experience with programmatic SEO or large-scale content generation initiatives.
• Experience leading digital PR campaigns that contributed to organic growth.

Why You'll Love Working Here

There is a lot to love about working at VistaPrint. We are an award winning Remote-First company. We’re an inclusive community. We’re growing (which means you can too). And to help orient us all in the same direction, we have our Vista Behaviors which exemplify the behavioral attributes that make us a culturally strong and high-performing team.

About Us

VistaPrint is the design and marketing partner to millions of small businesses around the world. For over 20 years we’ve been inspired by small businesses, and we work incessantly to deliver solutions to their evolving needs. Together, VistaCreate, 99designs by Vista and VistaPrint represent a full-service design, digital and print solution, elevating small businesses’ presence in physical and digital spaces and powering them to achieve success. VistaPrint is focused on making great marketing and design accessible to every small business owner, allowing them to create a cohesive brand image for use in-store, online and on-the-go.

Commitment to Diversity, Equity, & Inclusion

VistaPrint exists to help our customers live their dreams. Each dream is unique – and the VistaPrint team needs to be as well. We believe in the unique contributions of everyone within a diverse global organization. We are collaborative, inclusive, and innovative. We strive to role model and live an inclusive culture of fairness, respect and belonging for all. And we work together to empower each other, creating a space in which each of us can spark our next great idea.

Equal Opportunity Employer

VistaPrint, a Cimpress company, is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, sex, national or ethnic origin, nationality, age, religion, citizenship, disability, medical condition, sexual orientation, gender identity, gender presentation, legal or preferred name, marital status, pregnancy, family structure, veteran status or any other basis protected by human rights laws or regulations. This list is not exhaustive and, in fact, in many cases, we strive to do more than the law requires.

About the role
You own the technical delivery of small, AI-driven client engagements. You take a reasonably shaped backlog and turn it into shipped software through AI agents and skills you design, plus any supporting developers and QA. Requirements come from a PO/BA or the client.

A new team member will be in charge of:

• Design and write the project's own AI agents and skills (Codex, Claude Code or comparable), not just prompt off-the-shelf tools.
• Choose and combine agents, skills and models to fit the project's business and technical goals, and keep changing that setup as the project evolves.
• Own build, test and release execution, directing agents and people day to day.
• Turn a validated backlog into an executable delivery plan without every detail spelled out.
• Unblock stalled delivery by triaging large backlogs at speed — days, not weeks.
• Work with the PO or client to keep delivery aligned with business goals, and push back on work that doesn't serve the release.
• Track and report scope, schedule, quality and risk, both to the client and internally.

• Raise the team's baseline by mentoring developers and QA on agent-driven delivery.

   

Does this relate to you?

• 5+ years in software delivery, technical program management or engineering leadership, with direct accountability for shipping.
• 1+ years of hands-on experience building custom agents and skills for real delivery work, with concrete examples of an agent setup you designed and what it shipped.
• A hands-on engineering background, not only process management.
• Strong SDLC, QA and release fundamentals.
• Clear communication of status and risk to non-technical stakeholders.

• Upper-Intermediate or higher English level.

   

Nice to have

• Experience with small, high-autonomy pod delivery.
• Stack fit for the target engagement, specified per project.

We are seeking an experienced Data Scientist to take ownership of customer risk-scoring models and exploratory risk analysis. In this role, you will analyze complex behavioral data, conduct deep-dive investigations, and construct statistical models to protect both the business and its users.

Responsibilities

• Design, evaluate, and iteratively refine predictive models targeting AML and Safer Gambling risk indicators.
• Conduct exploratory data analysis and targeted investigations to identify behavioral anomalies and emerging risk patterns.
• Partner with compliance and operational risk teams to translate risk domain insights into practical model features.
• Clearly communicate analytical methodologies, model evaluation results, and strategic insights to non-technical stakeholders.

Requirements

• 5+ years of professional experience in a Data Scientist role.
• Strong technical proficiency in Python and SQL for complex data extraction, feature engineering, and statistical modeling.
• Practical expertise in building and evaluating standard statistical and machine learning models (e.g., XGBoost, Linear/Logistic Regression).
• Strong analytical problem-solving skills with a background in model evaluation metrics and data-driven investigations.
• Effective verbal and written communication skills with the ability to articulate complex analytical concepts clearly.

Nice to have

• Prior experience in online gaming.
• Domain familiarity with Anti-Money Laundering (AML) regulations or Responsible/Safer Gambling frameworks.
• Basic conceptual understanding of model deployment pipelines (hands-on engineering deployment expertise is not required).

Middle Developer

Role Description

We are looking for a Middle Software Developer to join our R&D team and contribute to the development of innovative products and technologies. In this role, you will participate in the full software development lifecycle, from researching and validating new ideas to implementing, testing, and supporting production-ready solutions.

The ideal candidate is capable of independently delivering medium-complexity features, taking ownership of their work, and proactively proposing improvements to products and development processes. You will collaborate closely with Product Owners, engineers, and other stakeholders to transform business and technical requirements into reliable software solutions.

This position requires a strong engineering mindset, a passion for learning new technologies, and the ability to rapidly build prototypes and proof-of-concepts using modern development tools, including AI-assisted technologies. You will be expected to contribute not only through coding but also through technical discussions, code reviews, and continuous improvement initiatives.

Main Responsibilities

• Full-time participation in product development
• Research and evaluate new technologies, frameworks, and implementation approaches
• Develop prototypes and proof-of-concepts for new ideas and use cases
• Design and implement new features using modern technologies and best practices
• Maintain and support developed features throughout their lifecycle
• Write clean, maintainable, and efficient code
• Participate in code reviews and provide constructive feedback
• Investigate and fix defects and production issues
• Collaborate with Product Owners, QA Engineers, Designers, and other stakeholders
• Contribute to technical discussions and architecture decisions

• Create and maintain technical documentation where necessary

   

Required Skills

Programming Languages

• Strong proficiency in C#

• Good proficiency in TypeScript

   

Software Development

• Understanding of object-oriented design principles (SOLID)
• Experience with modern software development practices
• Knowledge of design patterns and when to apply them
• Experience with REST APIs and client-server architectures
• Ability to troubleshoot and debug complex issues

• Understanding of software testing principles

   

DevOps & CI/CD

• Understanding of CI/CD pipelines and automated deployments
• Experience using Git and common branching strategies

• Familiarity with build and release processes

   

AI & Rapid Prototyping

• Experience using AI-assisted development tools (ChatGPT, GitHub Copilot, Claude, etc.)

• Ability to rapidly create prototypes and validate concepts

   

Soft Skills

• Strong problem-solving skills
• Proactive mindset and willingness to propose improvements
• Good communication skills
• Ability to work independently with limited supervision

• Ability to estimate and plan own work

   

Nice-to-Have Skills

Programming & Technologies

• Python development experience
• Experience with Angular or React
• Experience with cloud platforms (AWS)
• Understanding of microservices architecture

DevOps

• Experience creating and maintaining CI/CD pipelines
• Infrastructure as Code experience

Embedded & Hardware

• Experience with microcontroller or microcomputer development
• Experience with Raspberry Pi, Jetson, STM32, ESP32, or similar platforms
• Basic electronics and hardware integration knowledge

Additional Advantages

• Experience with Agile/Scrum methodologies
• Experience mentoring junior developers
• Technical writing/documentation skills

What We Offer:

• Official employment with full compliance with Ukrainian labor law and all associated benefits
• Military service reservation (deferment)
• Flexible working hours within a standard Monday–Friday schedule (10:00 AM–6:00 PM)
• A modern and comfortable office in Vinnytsia
• A supportive team and a stable, long-term opportunity.

About ByChat FinOps

ByChat FinOps is a production-ready B2B AI platform that helps organizations understand, analyze, and optimize cloud infrastructure costs across AWS.

Our platform combines cloud billing data with Generative AI, enabling users to ask natural language questions such as:

• Why did our cloud costs increase this month?
• Which services generate the highest expenses?
• Will we exceed our budget next quarter?
• Where can we reduce infrastructure costs?
   

Behind the scenes, intelligent LLM Agents work with cloud APIs, read-only SQL queries, billing datasets, forecasting models, anomaly detection algorithms, and FinOps analytics to deliver accurate, explainable business insights.

ByChat FinOps is an actively growing production product where AI reliability, security, scalability, and measurable business value are our highest priorities.
 

About the Role

We are looking for a Senior / Lead ML Consultant to support our engineering team on a part-time basis and provide expert guidance on the architecture, development, evaluation, and optimization of our AI/ML capabilities.

This is primarily an advisory and technical leadership role rather than a full-time hands-on engineering position.

You will work closely with our AI/ML engineers and technical team, review existing approaches and processes, identify potential risks and inefficiencies, and provide practical recommendations for improving the quality, reliability, and efficiency of our AI systems.

We expect you to act as a senior technical advisor and sparring partner for the team, helping us validate technical decisions and ensure that our ML/LLM practices meet production-grade standards.
 

What You'll Do

Your responsibilities will include:

• Review the architecture and implementation of our AI/ML and LLM-based solutions.
• Provide regular technical feedback to AI/ML engineers and help validate key engineering decisions.
• Review existing ML/LLM development processes and recommend improvements.
• Evaluate the effectiveness, reliability, and scalability of current AI workflows.
• Advise the team on the design of LLM Agents, sub-agents, tool calling, structured outputs, and agentic workflows.
• Review approaches to prompt engineering, context management, guardrails, validation, retries, and hallucination mitigation.
• Assess and improve LLM evaluation methodologies, automated testing, golden datasets, and quality metrics.
• Advise on AI observability, tracing, monitoring, and production quality control.
• Review Text-to-SQL approaches and help ensure safe and reliable interaction with financial datasets.
• Provide guidance on anomaly detection, forecasting, and other ML components used within the platform.
• Identify performance bottlenecks and opportunities to optimize LLM latency, token usage, infrastructure usage, and operational cost.
• Help the team evaluate new AI/ML technologies, frameworks, models, and architectural approaches before introducing them into production.
• Participate in technical discussions and architecture reviews for complex AI-related features.
• Mentor engineers and help strengthen the team's ML/LLM engineering practices.
• Help establish practical engineering standards and best practices for building production-grade AI systems.
   

What We Expect

Must Have

• Strong senior-level commercial experience in Machine Learning / AI Engineering, ideally including technical leadership or consulting responsibilities.
• Proven experience designing and reviewing production AI/ML systems.
• Strong practical experience with modern LLM applications and Agentic AI systems.
• Deep understanding of:
  • LLM Agents and agentic workflows
  • Prompt Engineering
  • Function / Tool Calling
  • Structured Outputs
  • Context management
  • Hallucination mitigation
  • Guardrails and validation
  • Retry and fallback strategies
• Strong understanding of ML/LLM evaluation methodologies and how to measure AI system quality in production.
• Experience with AI observability, tracing, testing, and monitoring.
• Strong Python and SQL knowledge with the ability to review implementation and architecture decisions.
• Understanding of statistics, anomaly detection, forecasting, and data-driven system evaluation.
• Experience identifying technical risks, architectural weaknesses, and performance bottlenecks.
• Ability to translate complex technical findings into clear, practical recommendations for an engineering team.
• Strong communication and mentoring skills.
• English sufficient for technical discussions, documentation, and regular communication with the team.
   

Nice to Have

• Previous experience as a Lead ML Engineer, ML Architect, AI Architect, Staff/Principal ML Engineer, or ML Consultant.
• Experience with LangChain, LangGraph, or other Agent frameworks.
• Experience with AWS Bedrock, Claude, or other managed LLM platforms.
• Experience with FinOps, cloud billing, or cloud cost optimization.
• Knowledge of:
  • AWS CUR
  • AWS Cost Explorer
• Experience with Langfuse, LangSmith, RAGAS, or similar AI observability and evaluation platforms.
• Experience designing evaluation pipelines and golden datasets for LLM applications.
• Experience with forecasting and time-series analysis.
• Experience processing large financial or billing datasets.
• Understanding of multi-tenant architectures and secure AI tool execution.
• Experience optimizing LLM latency, token usage, and operational costs.
   

Technology Stack

• Python 3.12
• FastAPI
• LangChain
• LangGraph
• AWS Bedrock
• PostgreSQL
• SQL
• Langfuse
• RAGAS
• Docker
• Next.js / TypeScript
   

Engagement Format

• Part-time consulting engagement
• Flexible involvement based on project and team needs
• Regular technical reviews and consultations with the AI/ML team
• Architecture and solution reviews for key AI/ML initiatives
• Focus on technical guidance, quality assurance, process improvement, and mentoring rather than day-to-day feature implementation
   

Why Join Us?

• Influence the technical direction of a real production AI product without committing to a full-time role.
• Work on challenging problems at the intersection of Generative AI, Agentic AI, Cloud, and FinOps.
• Help shape the architecture and engineering practices behind production-grade AI systems.
• Work with a team that values measurable AI quality, reliability, security, and business impact.
• Apply your senior-level expertise where it has the highest impact: technical decisions, architecture, evaluation, optimization, and team development.
• Stay close to modern AI technologies while working in a flexible consulting format.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client and the role:
Our client is a software company that develops and distributes software for macOS and iOS. We are seeking a Research Scientist to client’s AI R&D team, who will be at the forefront of AI research and play a pivotal role in driving research in human-computer interaction (HCI), specifically focusing on understanding macOS apps and their interfaces, using the latest advancements in natural language processing, computer vision, multimodality research.

Responsibilities:
- Lead HCI-focused AI research projects from concept to implementation.
- Translate cutting-edge research into innovative solutions for macOS applications.
- Collaborate across teams to integrate AI advancements into client’s products.
- Communicate research results to internal and external audiences (scientific conferences)

Requirements:
- Experience in one or more of the following Machine Learning domains: Computer Vision, Natural Language Processing (NLP), Human-Computer Interaction (HCI).
- Strong knowledge of linear algebra, probability theory/statistics, and graph theory.
- Advanced prototyping skills and experience implementing algorithms from academic papers.
- Previous experience publishing academic papers.

Nice-to-Have Skills/Experience:
- Ph.D. in machine learning, AI, statistics, computer science or related technical fields
- Familiarity with the Apple ecosystem, including iOS/macOS SDK and Core ML.

What we offer:
- We are a Ukrainian company, and we stand with Ukraine against russian aggression.
- Your health always comes first.
- Flexible working hours.
- Space to grow both professionally and personally.
- Teams we are proud of.
- Time-off policy that covers life’s needs.
- Join social initiatives.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv — you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

About the Role
We are seeking an AI Solutions Specialist / AI Automation Specialist to help drive AI adoption and business process automation across the organization. The successful candidate will work closely with business users to understand their needs, build practical AI solutions, and continuously improve AI agents and automated workflows. This role is perfect for someone who enjoys experimenting with modern AI tools and turning innovative ideas into tangible business value.

Role Responsibilities:

• Design, develop, maintain, and enhance AI agents and AI-based solutions.
• Create, test, and optimize prompts for various business scenarios.
• Support implementation and adoption of AI solutions across teams.
• Identify and implement process automation opportunities.
• Evaluate effectiveness and quality of AI agents and AI-driven workflows.
• Document solutions, best practices, and implementation guidelines.
• Test new AI products, features, and capabilities and provide recommendations on their adoption.

Required:

• Degree in Computer Science, IT or Business Analytics. Additional certifications/courses/trainings in AI, Data Analytics, or Automation are considered an advantage.
• English B2 (both speaking and writing).

Key Competencies:

• Strong understanding of modern AI technologies and their business applications.
• Ability to design, create, maintain, and improve AI agents.
• Strong prompt engineering skills and understanding of prompting techniques.
• Understanding of differences between AI models and appropriate use cases for each.
• Ability to decompose business processes and identify automation opportunities.
• Ability to translate business requirements into AI-powered solutions.
• Ability to evaluate agent performance and recommend improvements.
• Strong analytical and problem-solving skills.
• Strong communication and user support skills.
• Curiosity, adaptability, and willingness to continuously learn and test new AI solutions.

Experience:

• working with AI tools, automation platforms, or digital transformation initiatives.
• creating, configuring, testing, or supporting AI agents, AI assistants, or workflow automations.
• analyzing business processes and identifying opportunities for automation and efficiency improvements.
• communicating with business users, gathering requirements, and translating business needs into practical solutions.

Preferred Experience:

• Hands-on experience with Microsoft Copilot Studio, Microsoft 365 Copilot, ChatGPT, Claude, or similar AI platforms.
• Experience with no-code / low-code automation tools (e.g. Copilot Studio, Power Automate etc.).
• Experience with prompt engineering and optimization of AI-generated outputs.
• Understanding of AI Skills, Knowledge Bases, and Agentic AI concepts.

Policy statements:
www.pwc.com/ua/uk/about/privacy.html

We are looking for a AI Developer (Full stack / AI Automation) to join our team

What You Will Do:

• Develop and implement AI-driven solutions and AI agents to automate business processes.
• Build backend services using Node.js to integrate AI models into products.
• Work with databases (SQL / NoSQL) for data storage and processing.
• Deploy and manage services using Docker.
• Develop systems using different LLM providers
• Build and optimize AI agent architectures and automation pipelines.
• Create agency multi-agent systems on different harnesses
• Work in Linux environments (Ubuntu) for development and deployment.
• Analyze user needs and design AI solutions to solve user problems.

What We Offer

• 21 days of paid leave per year
• 7 days of sick leave annually
• Health insurance
• English-speaking clubs
• Corporate events and team-building activities
• Long-term cooperation
• Annual performance review
• All necessary technical equipment provided
• Hybrid work format: 4 days in the office, 1 day fully remote

Hiring Process

1. Initial interview
2. Test task
3. Interview with a manager
4. Final interview with CTO.

Required Experience to Succeed in This Role:

• Strong experience with Node.js development.
• Experience working with databases (SQL or NoSQL).
• Ability to write clean, maintainable, and scalable code refactoring.guru
• Understanding of AI concepts, LLMs, or AI agents.
• Experience building and integrating REST APIs.
• Experience with Docker.
• Comfortable working in Linux (Ubuntu) environments.
• Ability to write clean, maintainable, and scalable code.
• English (spoken and written).
• Location - Kyiv

We’re looking for someone who will take full ownership of the technical function within our Analytics department — and bring Reporting, Data Tech, and AI to a new level of maturity.

The mission is clear: transform Reporting and Data Tech into a powerful internal platform that helps the entire analytics function work faster, smarter, and more effectively.

 

𝗪𝗵𝗮𝘁 𝘆𝗼𝘂’𝗹𝗹 𝗼𝘄𝗻:

▸ Build and scale BI infrastructure from the ground up

▸ Lead and develop teams across Reporting, Data Tech, and AI

▸ Design and implement scalable Data Warehouse architecture

▸ Own ETL/ELT processes and Data Governance frameworks

▸ Drive automation across reporting and data pipelines

▸ Integrate AI/LLM tools to optimize analytical processes

▸ Act as the bridge between technical analytics and business stakeholders

▸ Drive change management and build a culture of data-driven decisions

 

𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝗯𝗿𝗶𝗻𝗴:

▸ 5+ years in BI / Data / Analytics

▸ Proven experience managing BI or Data teams

▸ Hands-on experience building BI functions from scratch

▸ Deep expertise in Data Warehousing and modern BI platforms

▸ SQL at expert level

▸ Strong understanding of ETL/ELT and Reporting infrastructure

▸ Practical experience with AI/LLM for process optimization

▸ Experience in change management

▸ Strong leadership, ownership mindset, and business orientation

 

𝗪𝗼𝘂𝗹𝗱 𝗯𝗲 𝗮 𝗽𝗹𝘂𝘀:

▸ iGaming background

▸ Experience in product companies

▸ Experience working with large-scale data volumes

▸ Familiarity with modern AI tools and frameworks

 

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!
   

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

At RISK, we believe that our people are the driving force behind our success. Together, we can achieve great things and push the boundaries of what’s possible in the iGaming industry.

We are looking for a strong Full-Stack Developer to join LITSLINK, a subsidiary of WOW-HOW Studio, and work on a variety of client and internal products.
 

This role is a great fit for an engineer who enjoys working across the full development cycle, quickly adapting to new domains and technologies, and actively using modern AI tools to accelerate software development.
 

About LITSLINK

LITSLINK is a software development company delivering custom software solutions for international clients across different industries and domains.

Our engineers work on a wide range of products — from early-stage prototypes and MVPs to production-ready systems — using modern technologies and an AI-first approach to software development.
 

What you will do

• Develop and maintain web applications across frontend and backend.
• Participate in the full software development lifecycle — from technical discovery and estimation to implementation and delivery.
• Contribute to architecture and technical decisions.
• Participate in technical discussions and project estimations.
• Work on client products across different domains and technical environments.
• Contribute to internal LITSLINK products and initiatives.
• Collaborate with developers, PMs, designers, QA and other team members.
• Use AI-assisted development tools as an integral part of your engineering workflow.
• Rapidly prototype, validate and implement technical solutions.

Tech stack

Our primary stack includes React, Node.js, JavaScript/TypeScript.

We are also open to strong Full-Stack Engineers with experience in other modern technologies.
 

It will be a plus if you have experience with:

• Next.js
• Vue.js
• React Native
• NestJS
• PostgreSQL
• Supabase
• Firebase
• AWS
• Vercel
• Ruby
• Solidity
• Other modern frontend and backend technologies

AI-first development

AI-assisted development is an integral part of our engineering workflow — not just an occasional tool for searching or generating snippets.

We expect engineers to actively use AI tools for:

• implementation and feature development;
• prototyping and experimentation;
• refactoring and improving existing code;
• debugging and troubleshooting;
• technical research;
• repetitive engineering tasks.
   

We work with tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT and other AI coding assistants/agents.

A strong understanding of how to effectively use AI to accelerate development while maintaining code quality is a significant advantage.

What we are looking for

• Strong commercial software development experience.
• Solid Full-Stack background.
• Strong understanding of frontend and backend development principles.
• Experience with React and Node.js or a comparable modern stack.
• Strong JavaScript/TypeScript skills.
• Ability to understand a product or technical problem and independently propose a solution.
• Good understanding of architecture, APIs, databases and integrations.
• Ability to estimate technical tasks and evaluate different approaches.
• Experience with modern AI development tools.
• Ability to quickly learn new technologies and work outside a narrow technology stack.
• Product-oriented mindset and strong problem-solving skills.
• Ownership and ability to work independently.
• Good communication skills.
• English sufficient for technical communication and working with international teams.

Will be a plus

• Experience in outsourcing, consulting or product development.
• Experience with technical discovery or presales.
• Experience working on several products or in different domains.
• Cloud and deployment experience.
• Mentoring or knowledge-sharing experience.
• Broad technical background beyond one primary stack.

What we offer

• Full-time, long-term cooperation.
• Opportunity to work on different international and internal products.
• Ability to influence technical decisions.
• Exposure to different technologies, industries and business domains.
• AI-first engineering environment.
• Opportunity to work on products from early-stage ideas and prototypes through to production.
   

Location: Remote / Ukraine
Employment: Full-time
 

If you enjoy solving problems rather than being limited to a single stack, quickly adapting to new technical contexts, and using AI to build software more efficiently, we’d love to hear from you.

As our Senior AI Engineer, you'll own the intelligence layer of the platform — the gateway, tools, retrieval, and evaluation that let an AI assistant read and act inside a regulated ERP as the signed-in user, and never as anything more. In manufacturing that answers to auditors, an assistant that's confidently wrong, or that touches a record it shouldn't, is worse than no assistant at all. Your work is making AI trustworthy enough to put in front of a quality manager.

This isn't a role for working through a queue of well-specified tickets.

 You'll take large features from a loose problem statement to production — agentic workflows, AI on mobile for the shop floor, and the system and infrastructure changes underneath them. You'll decide what to build as much as how, and you'll push for the breakthrough features that make customers switch, not only the ones already on the roadmap.

The ideal candidate thrives in startup ambiguity, moves with real urgency, and has a track record of turning open-ended problems into shipped products without waiting to be told what's next.

What You'll Do

01 — Take large features from idea to production.

Own agentic workflows and AI on mobile end to end. Start from the user's problem, shape the solution, write the plan and the tickets, build the React and mobile interfaces that make AI output trustworthy and actionable, ship it, and measure whether it worked.

02 — Make and own large system changes.

Propose, defend, and carry through the architecture and infrastructure the AI layer depends on — background agents and job queues, observability, cost metering, per-tenant limits, and model version pinning.

Required Qualifications

- 8+ years building and shipping production software, including 2+ years shipping LLM-powered features to real users, and a track record of owning large features end to end.

- AI-native engineering practice — you've rebuilt how you work around agents rather than adding them to an old workflow. Claude Cowork as your primary tool, with strong hands-on experience using Claude Code, Cursor, Codex, or similar; you direct agents through most of the implementation and stay disciplined about the quality, stability, and extensibility of what they produce.

- Product sense and ownership — you work from problems, not specs. You figure out what users and the business actually need, write your own tickets, make the call when the answer isn't obvious, and drive work to done without needing direction repeated.

- Production LLM application engineering — tool calling, structured output, prompt and context design, and streaming, with Claude, OpenAI, or similar, via AWS Bedrock or direct APIs.

- Retrieval-augmented generation in production — chunking, embeddings, and hybrid search on pgvector or equivalent, with access control enforced at retrieval time.

- Evaluation and AI security discipline — you've built eval suites that gate releases, and you design against prompt injection, data leakage through tool output, and cross-tenant access from the start.

- Strong TypeScript, React, and Next.js in production — enough to own the AI experience end to end rather than hand it off.

- Production experience with PostgreSQL — schema design, query optimization, and operating it at scale.

- Hands-on with AWS services — Bedrock, RDS, Fargate, S3, VPCs, IoT Core, DynamoDB, and related infrastructure.

- Disciplined engineering fundamentals — SOLID, DRY, and Domain-Driven Design applied to complex business domains, with unit and integration tests as part of your normal workflow.

- B.S. in Computer Science, Mathematics, Physics, Engineering, or equivalent practical experience.

Preferred Qualifications

- Early-stage startup experience — you've shipped at weekly cadence, owned outcomes rather than tasks, and built something new that changed what the product could do.

- Shipped mobile applications — React Native or similar — for field, operator, or shop-floor use.

- Experience building manufacturing software or Industrial IoT systems — ERP, MES, or SCADA platforms, or machine connectivity over MQTT, OPC-UA, or similar.

- Hands-on with the Model Context Protocol — MCP servers or clients, and OAuth 2.1 authorization for agents.

- C# / .NET experience, as our core services move to a C# and AWS architecture.

- Exposure to compliance frameworks such as SOC 2, GAMP 5, ISO 13485, 21 CFR Part 11, or similar.

Readiness to work from 16:00 till 01:00 in order to have an optimal overlap of work hours with USA based teams.