Jobs ML / AI

We are looking for a senior engineer to own the quality of our AI features and help define engineering standards across the team.

Approximately 70% of this role focuses on quality and evaluation for agentic workflows: building evaluation harnesses, maintaining datasets, implementing regression gates, and turning production failures into repeatable checks.

The remaining 30% focuses on improving product engineering through code reviews, resilient design, mentoring, and early involvement in feature development. You will also contribute production code to stay close to the systems you review.

This role combines software engineering, AI evaluation, and technical leadership. It requires broader ownership than a traditional test automation position.

Our Stack

• Languages: TypeScript and JavaScript
• Backend: Node.js with Express
• Frontend: React and React Native
• Databases: PostgreSQL and MongoDB
• Infrastructure: AWS
• Testing: Playwright for web and Maestro for mobile
• CI/CD: GitHub Actions

Responsibilities

AI Evaluation & Quality Engineering - approximately 70%

• Build and maintain evaluation harnesses, golden datasets, and scoring methods for production agentic workflows.
• Define measurable quality standards for AI features, including task success, failure handling, latency, and cost.
• Implement regression gates in CI so changes receive an evaluation verdict before merging.
• Own the Playwright web and Maestro mobile end-to-end suites, keeping them fast, reliable, and transparent about failures.
• Establish engineering standards for code reviews, architectural patterns, and targeted refactoring.
• Instrument AI features in production and turn observed failures into new evaluation cases.
• Investigate evaluation regressions and help the team determine whether changes are ready to ship.

Product Engineering & Resilience - approximately 30%

• Review code across Node.js, React, and React Native applications, providing specific, actionable feedback.
• Coach engineers on error handling, retries, idempotency, failure isolation, and tests that demonstrate resilient behavior.
• Participate in feature design early to address quality, testability, and operational risks before implementation.
• Make targeted contributions to production code to maintain hands-on knowledge of the systems.
• Help troubleshoot production incidents by reading traces, reproducing failures, and driving issues to resolution, including occasional incidents outside regular working hours.

Required Experience

• 5+ years of experience building and operating production web applications.
• Strong JavaScript and TypeScript skills, with a deep understanding of runtime behavior.
• Hands-on production experience with Node.js (Express) and React.
• Practical PostgreSQL expertise, including schema design for read patterns, indexing, query plan analysis, and migrations under load.
• Production experience with AWS, including ECS or Lambda, Secrets Manager, CloudWatch, and IAM, with an understanding of infrastructure costs.
• Experience owning and maintaining a Playwright or equivalent automated test suite.
• Experience building and optimizing CI/CD pipelines in GitHub Actions.
• A demonstrated track record of improving code quality through reviews, architectural practices, and successfully delivered refactors.
• Experience mentoring engineers, with concrete examples of practices you helped a team adopt.
• Strong debugging skills and the ability to investigate issues across application code, databases, and infrastructure.
• Clear, effective asynchronous written communication.

AI Engineering & Evaluation - Required

Hands-on AI engineering and evaluation experience is essential. Candidates should be prepared to discuss specific systems, decisions, and outcomes.

• Daily experience working with frontier models and agentic coding tools such as Claude Code, Codex, or Cursor.
• Experience personally building evaluations for an LLM or agent system, including defining what to score, choosing scoring methods, and responding to changes in results.
• Experience constructing and maintaining evaluation datasets: sourcing cases, managing labeling, and keeping coverage relevant as the product evolves.
• Understanding of agentic failure modes that conventional unit tests do not capture.
• A repeatable approach to providing agents with context through instruction files, tool definitions, MCP servers, and subagent roles.
• A practical approach to tracking token spend and wall-clock time per unit of delivered work.

US Company is searching for a Middle AI Support Engineer to join an innovative product team developing an AI-powered SaaS platform. This is an exciting opportunity to work with modern cloud technologies, Large Language Models (LLMs), and scalable web applications in a distributed international team. Full-time, official contract, remote work, and US business hours (9am-5pm, CT).

Brief project description:
The product is SaaS, which enables businesses to automate and enhance customer communications through AI-powered workflows and modern communication technologies.

Responsibilities:

• Triage and analyze incoming tickets, identifying bugs, feature requests, existing functionality, and configuration issues.
• Investigate issues, troubleshoot AI workflows, and provide clear, accurate responses to users.
• Improve and maintain AI prompts and instructions to enhance response quality and reliability.
• Make targeted Node.js/TypeScript changes within existing AI workflows and integrations.
• Test and validate prompt, workflow, and code changes before release.
• Escalate complex issues to Product or Engineering and identify recurring issues that could be addressed through product or workflow improvements.

Required skills (must have):

• 3+ years Node.js/TypeScript.
• Hands-on experience with LLMs and prompt engineering.
• Experience debugging AI workflows / AI-powered applications.
• Strong ticket triage and troubleshooting skills.
• Ability to distinguish bugs, feature requests, existing functionality and configuration/usage issues.
• Excellent written and spoken English.
• Strong analytical and problem-solving skills.
• High level of autonomy.

Would be considered as a plus:

• RAG / vector databases.
• Function/tool calling and structured LLM outputs.
• AWS/serverless.
• SaaS/B2B experience.
• Jira/Zendesk/Redmine.
• Experience building AI agents or AI support automation.
• SQL and API integration experience.

Work conditions:

• 100% remote work.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.
• US business hours: 9am-5pm, CT.

Interviewing / Hiring process:
Step 1 - preliminary interview (main questions) - 45 mins
Step 2 - internal technical interview - 60 mins
Step 3 - technical interview with Team Leader - 60 mins

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally. The client already runs an AI-native engineering practice: Claude Code and GitHub Copilot are used daily, supported by a growing library of shared, versioned Skills embedded in key repositories, enabling an end-to-end flow from ticket to implementation, testing and PR in several codebases. AI tool/connector rollout follows an approved-list and pilot process. The client is AWS-first overall; for data platform and analytics workloads it also runs GCP, with BigQuery as the primary data warehouse. Day-to-day coordination is Slack-first, with Linear for ticket tracking, GitHub for code/PR review, and Notion as the knowledge base.

The client is also building out its AI platform and agentic capabilities: it recently launched an MCP surface in closed beta, giving external AI assistants a structured way to connect and perform real workflows behind guardrails, and treats agent reliability as a system property (tool contracts, approval/consent gates for write actions, evaluation harnesses).

We're looking for a Senior AI Platform Engineer to design, build and operate the shared GenAI infrastructure that product teams rely on.

Key Responsibilities:

• Design, build and operate shared GenAI infrastructure: LLM routing, vector search and RAG infrastructure, MCP gateway, and AI observability/evaluation tooling.
• Apply strong distributed-systems fundamentals: async workflows, idempotency, failure design.
• Work hands-on with LLM APIs in production.
• Apply an AI-security mindset: prompt injection defenses, PII-in-logs handling, credential handling.
• Apply real engineering rigor to the Context Development Lifecycle (CDLC): generate, evaluate, distribute and observe the context that powers AI agents.
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
• Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).

Must-Have Skills:

• Kotlin or Python as primary proficiency, with comfort contributing to both.
• Experience designing/building/operating shared GenAI infrastructure: LLM routing; vector search and RAG infrastructure; MCP gateway; AI observability and evaluation tooling.
• Strong distributed-systems fundamentals: async workflows, idempotency, failure design.
• Hands-on production experience with LLM APIs.
• AI-security mindset: prompt injection, PII in logs, credential handling.
• Agent & harness engineering fluency, with concrete evidence of building/operating this kind of tooling, not just using it.
• Comfortable with the client's current daily tools: Claude Code and GitHub Copilot.

Nice-to-Have Skills:

• Specific cloud depth (AWS and/or GCP), Grafana, or named LLM API vendors. The RFP describes these capabilities generically rather than naming specific tools for this role — listed here as plausible, not confirmed.

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

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

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

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

     You'll be a great fit if you have:

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

• Bachelor's degree in Computer Science or a related field.
   

  What you'll do:

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

     We ensure your growth with:

• Competitive salary fixed in USD;
• Flexible working schedule and fully remote work format;
• Paid vacation days and sick leave days ;
• Personal and professional development opportunities;
• Participation in building innovative projects from scratch using modern technologies;
• Team-building activities and corporate events;
• English classes and educational events.

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

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

We are expanding our talent pool of Python Machine Learning Engineers to support upcoming international projects across various industries, including FinTech, Healthcare, Retail, Manufacturing, and SaaS.

While there is no immediate project assignment, selected candidates will become part of our network and will be among the first to be considered when new opportunities matching their expertise become available.

Our machine learning projects typically involve designing, training, deploying, and optimizing predictive models, recommendation systems, computer vision, NLP, and other AI-driven solutions using modern Python technologies and MLOps practices.

We are expanding our talent pool of Python AI Engineers (LLM & GenAI) to support upcoming international projects focused on Generative AI, Large Language Models, AI Agents, and intelligent automation.

While there is no immediate project assignment, selected candidates will become part of our network and will be among the first to be considered when new AI opportunities matching their expertise become available.

Our AI projects typically involve designing and developing LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, AI Agents, intelligent workflows, and enterprise AI solutions using modern Python technologies.

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 looking for an enthusiastic AI professional who is passionate about exploring and applying Artificial Intelligence to real business challenges.
The successful candidate will work closely with the AI Tech Lead and will take ownership of individual AI initiatives from requirements gathering through solution delivery. The role offers an opportunity to work with cutting-edge AI technologies, experiment with new tools, and help transform business processes through automation and innovation.
This position is ideal for someone who follows developments in AI, enjoys testing new technologies, and wants to build practical AI solutions that deliver measurable value.

Key Responsibilities

• Independently manage and deliver one or more AI-related projects.
• Work with stakeholders to understand business needs and identify opportunities for AI adoption.
• Design and implement AI solutions leveraging technologies such as Prompt Engineering, AI Agents, Retrieval-Augmented Generation (RAG), workflow automation, and Generative AI models.
• Create, test, and optimize prompts for different AI use cases.
• Evaluate and experiment with new AI tools, models, and capabilities.
• Support solution design, testing, and implementation activities.
• Coordinate and direct the work of junior team members assigned to the project.
• Define tasks, distribute workload, review deliverables, and support junior colleagues in their development.
• Contribute to reusable AI components, best practices, and internal knowledge sharing.
• Participate in proof-of-concept development and pilot initiatives.
• Help drive innovation and identify opportunities for new AI solutions across the business.

What We Are Looking For

• Genuine interest and passion for Artificial Intelligence.
• English B2+.
• Approximately 2 years of hands-on experience working with AI tools, AI products, or AI-powered solutions.
• Practical experience with: Generative AI tools and Large Language Models (LLMs); Prompt engineering; AI assistants and AI agents; Retrieval-Augmented Generation (RAG);Workflow automation.
• Ability to work independently and take ownership of projects.
• Strong analytical and problem-solving skills.
• Good communication skills and ability to work with both business and technical stakeholders.
• Curiosity and willingness to continuously learn new technologies.

Nice to Have

• Experience with Microsoft technologies, such as: Microsoft Copilot; Power Automate; Power Platform; SharePoint; Microsoft 365; Azure AI services.
• Basic understanding of APIs and integrations.
• Experience with low-code/no-code platforms.
• Basic knowledge of Python or scripting languages.
• Experience delivering internal automation or AI transformation initiatives.

What We Offer

• Opportunity to work on innovative AI projects with real business impact.
• Exposure to modern AI technologies and rapidly evolving tools.
• Freedom to experiment, learn, and help shape future AI solutions.
• Collaboration with a growing AI-focused team.
• Direct involvement in solution design, innovation, and project delivery.
• Continuous learning and professional development opportunities.

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

We’re expanding our automation team—and we’re looking for someone who loves building AI agents, not just “plugging ChatGPT into everything.” If you’re interested in more than just writing prompts—if you want to create systems that make their own decisions, handle errors, and run in production without constant supervision—read on 👇

Who We Are

Our team automates routine business processes using AI agents: alerts, mailings, reminders, and other tasks that used to be handled manually. We currently have three specialists on the team, and we’re growing. We work on a wide range of projects—from small integrations between departments to large-scale initiatives with a real impact on the business.

What we expect from you during our collaboration: 

• Development and implementation of multi-agent systems
• Build and maintain custom integrations via APIs
• Set up and optimize data workflows: webhooks, JSON/XML parsing, Salesforce automation, Google Sheets, and Slack, TG notifications.
• Develop effective AI prompts to integrate large language models (LLMs) into business operations
• Development of Retrieval-Augmented Generation (RAG) models
• Monitor automation processes, resolve incidents promptly, and drive ongoing improvements
• Research of new tools, libraries and practices in the field of AI
  
   

This role is a great fit if you: 

• 1-3 years of experience with no-code/low-code automation, n8n as primary tool (Zapier/Make — a plus)
• Practical experience building at least one agent-based workflow (not a linear automation)
• Practical experience with REST APIs, OAuth2, webhooks
• Python or JavaScript — ability to write custom scripts/nodes for integrations
• Relational databases (SQL) — storing state, logs, scraping results
• Experience integrating at least one LLM provider (OpenAI/Claude/Ollama) into a production workflow
• Prompt engineering — writing and optimizing prompts
  
  The following would be a plus: 
• Experience with web scraping (Playwright, Scrapy, Selenium, or similar)
• Familiarity with agent frameworks (LangChain, LangGraph)
• Understanding of how queues and schedulers work (cron, SQS, or similar)
• Experience in the iGambling industry
• Basic knowledge of DevOps: CI/CD, monitoring
  
  What we offer:
• 24 days of vacation + days off
• Remote work — choose any corner of the world to “be with us”
• Support for your learning and professional development through external courses and educational activities (conferences, webinars, etc.)
• Benefit Café: reimbursement for sports activities, English language courses, and mental health support
• Health insurance
• Financial support during difficult life situations—we understand that this is an extremely challenging time for every Ukrainian, so we’re here for you not only on the “good days” but also on the “tough ones.”
• Employee referral program. The opportunity to directly influence business development and hiring strategy at a rapidly growing international company.

Hiring process: Recruiter interview → Interview with Hiring Manager → Reference check → Job Offer.

💌 It takes 7 days to review your resume.
If you haven’t heard back from a recruiter, it means your experience doesn’t currently match the requirements for this role—we’d be happy to stay in touch about other job openings!

We are looking for an AI/Automation Engineer to help us design and ship LLM-powered automation across internal tools and client-facing products. You will work directly with a German client's engineering team, building agentic workflows, RAG pipelines, and process automation.

What you'll do:

- Design, build and maintain LLM-based automation and agentic workflows

- Build and optimize RAG (retrieval-augmented generation) pipelines

- Integrate LLM APIs (OpenAI, Anthropic, Azure OpenAI) into existing systems

- Automate internal business processes (Zapier, Power Automate, n8n or similar)

- Collaborate with backend/data teams on data pipelines feeding AI systems

- Monitor, evaluate and improve the quality and reliability of AI-driven workflows

Requirements:

- 3+ years of hands-on software engineering experience, including at least 1 year working on LLM/AI-driven products

- Practical experience with LangChain, LlamaIndex or similar frameworks

- Experience building RAG pipelines (vector databases, embeddings, chunking strategies)

- Solid Python skills

- Experience integrating with LLM provider APIs

- English level C1, comfortable in daily communication with a German client

Nice to have:

- Experience with agentic frameworks (AutoGen, CrewAI, LangGraph)

- Experience with workflow automation tools (Zapier, Power Automate, n8n)

- Familiarity with prompt engineering and evaluation frameworks

We offer:

- Competitive salary depending on experience

- Long-term project with a stable international client

- Flexible remote work, minimal bureaucracy

- Direct communication with the client's tech team, no unnecessary layers

🟠 Details: we are looking for a Middle/Senior Computer Vision & Machine Learning Engineer to join our team and work on innovative AI and Computer Vision solutions for international clients.

One of the projects you may join focuses on developing an AI-powered system for extracting structured spatial data from 2D and 3D floor plan imagery. It is a practical, R&D-driven project involving room detection, layout extraction, area estimation, and solving real-world computer vision challenges such as perspective distortion, occlusion, and scale estimation.

🟠 Qualifications:

• 3+ years of hands-on experience in Computer Vision & Machine Learning.
• Strong practical experience with image segmentation, object detection, image preprocessing, and geometry-based computer vision.
• Experience with OpenCV and classical computer vision techniques.
• Experience with modern segmentation and detection architectures such as YOLO, U-Net, SegFormer, Detectron2, SAM, or similar.
• Strong Python engineering skills.
• Experience with polygon/vector processing tools such as Shapely, OpenCV contours, or similar geometry libraries.
• Ability to work with imperfect visual inputs and design robust fallback logic.
• Understanding of OCR-based extraction using tools such as Tesseract, PaddleOCR, docTR, or cloud OCR services.
• Ability to design end-to-end CV pipelines from experimentation to reproducible prototypes.

🟠 Would be a plus:

• Experience with floor plan recognition, architectural drawings, construction tech, real estate tech, or takeoff/estimation workflows.
• Experience with perspective correction, homography, depth estimation, vanishing lines, or top-down reconstruction.
• Experience with depth models such as MiDaS or Depth Anything.
• Experience with synthetic data generation or image-to-image normalization workflows.
• Experience building ML evaluation and observability pipelines.
• Experience integrating ML pipelines into backend services or APIs.
• Experience leading technical direction for R&D-heavy projects.

🟠 Responsibilities:

• Design and implement a render-to-plan pipeline for converting 3D floor plan renderings into simplified 2D measurement-ready layouts.
• Develop CV/ML approaches for room segmentation, boundary detection, polygon extraction, room classification, and space labeling.
• Work with complex visual inputs including top-down plans, oblique renders, dollhouse-style layouts, and low-quality marketing imagery.
• Estimate room-level areas using geometry, OCR, scale evidence, metadata, and heuristic-based validation approaches.
• Define evaluation logic, confidence scoring, and quality metrics for pipeline outputs.
• Produce structured outputs and visual QA overlays for downstream flooring takeoff workflows.
• Collaborate with AI/backend engineers to integrate the CV pipeline into a web-based PoC tool.
• Document technical assumptions, limitations, risks, tradeoffs, and fallback strategies.

🟠 Interview steps:

• Screening with the recruiter (about 45 minutes).
• Take-home task.
• Technical interview with ML/CV Engineer and PM (about 1 hour).

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We're looking for an AI Architect to become our lead technical expert for client AI solutions and to help stand up our AI Competence Centre and internal AI Lab.

This is a client-facing technical role first, with a build-and-lead dimension. Expect roughly 60% solution architecture and pre-sales engineering for enterprise clients, and 40% establishing the AI Lab and mentoring engineers. You'll technically lead and raise the bar for the team - this is a technical leadership role, not a people-management line.
Reports to: Head of AI.

Requirements

• Experience & seniority. 5+ years in software, data, or ML engineering, including 3+ years delivering ML/AI in production and 2+ years in a client-facing architect or technical lead capacity.
• Cloud & AI infrastructure. Production-level experience on Google Cloud Platform, especially the Vertex AI suite, plus integrating third-party model providers such as Anthropic.
• GenAI engineering. Strong hands-on knowledge of RAG, agentic workflows, orchestration frameworks (LangChain, LlamaIndex), vector databases, and prompt/context engineering.
• Production & MLOps. Hands-on with the ML lifecycle, CI/CD for models, automated deployment, and cloud cost management - including right-sizing models (lighter vs. heavier) to control spend.
• Evaluation, guardrails & observability. Practical experience building LLM evaluations, guardrails, and monitoring for accuracy, safety, latency, and cost in production.
• AI governance & security. Familiarity with data governance, model risk, and EU regulation (EU AI Act, GDPR) as it applies to enterprise AI — we're primarily EU-based.
• Pre-sales & client experience. Proven experience presenting to enterprise clients, scoping technical projects, and translating complex AI concepts into clear business value.
• Technical leadership. Experience guiding engineers, reviewing architecture and code, and raising team capability.
• Languages. Native Ukrainian — required, as you'll run Ukrainian-language pre-sales — and strong English (B2+/C1 minimum).

• Mindset & agility. An intrapreneurial drive to build an AI Lab from scratch inside an established business, plus the agility to move smoothly between client pre-sales and deep technical architecture.

   

Responsibilities

• Solution architecture. Design and own end-to-end AI systems for strategic enterprise clients - reference architectures, data and retrieval pipelines, agentic layers, and integration with existing enterprise systems - with a clear path from prototype to scalable, secure, observable production.
• Pre-sales & consulting. Partner with sales to qualify and win AI opportunities: run technical discovery, scope solutions, size effort and cost, and translate AI into business value, ROI, and risk for C-level stakeholders.
• Technical leadership & mentorship. Set architecture and engineering standards, run design and code reviews, and level up engineers across the AI practice.
• AI Lab & R&D. Stand up and run the internal AI Lab - rapid client prototypes and cost-effective internal AI tooling - with a clear bar for what graduates into production.
• Partner collaboration. Work with our core AI partners (Google Cloud / Vertex AI, Anthropic) to build joint solutions, access early capabilities, and shape our technical roadmap.
• Governance, security & cost. Build guardrails, evaluation, and observability into every solution; keep architectures compliant (EU AI Act, GDPR) and cost-aware through right-sized model selection.

Would be a plus

• Google Cloud Professional Machine Learning Engineer and/or Professional Cloud Architect certification.
• Hands-on enablement or certification with Anthropic and Vertex AI generative-AI stacks.
• Direct experience mapping solutions to the EU AI Act risk framework.
• Fine-tuning, distillation, or model-optimization experience.
• Production experience with voice/multimodal AI (e.g., ElevenLabs) or AI-assisted engineering tooling (e.g., Cursor).
• Contributions to the open-source GenAI ecosystem.

Work conditions

• Flexible Work Format: Work remotely, allowing you to balance your professional and personal life efficiently.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud and AI solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
• International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
• Global Exposure: Expand your expertise by engaging with international markets across the EMEA and CEE regions.
• Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.
  
  When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
  Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

We are looking for a Creative Developer / Vibe Coder who can quickly turn ideas into working digital experiences using modern AI coding tools.

Requirements:

• Practical experience with AI coding tools such as Claude Code, Cursor, Codex, Lovable, v0, Replit, or similar
• Good knowledge of HTML, CSS, JavaScript, and TypeScript
• Good understanding of Git / GitHub
• Strong product sense and basic understanding of UI/UX
• Ability to quickly learn new tools, APIs, and frameworks

• Ability to review, debug, and improve AI-generated code instead of blindly accepting it

   

Nice to have:

• Previous experience in frontend, backend, or full-stack development
• Understanding of HTML, CSS, JavaScript, and TypeScript
• Experience with React, Next.js, Node.js, Python, or similar technologies
• Experience working with APIs, databases, authentication, and third-party integrations

• Experience with tools such as Supabase, Firebase, PostgreSQL, n8n, Make, Vercel, or Cloudflare

   

🚀 Responsibilities:

• Build interactive prototypes, landing pages
• Turn rough ideas, references, and creative briefs into working products
• Use Claude Code, Cursor, Codex, and other AI coding tools in the development process
• Build frontend and lightweight backend functionality
• Create fast proof-of-concepts for new ideas
• Debug and improve AI-generated code
• Research new AI development tools and integrate them into the workflow
   

When applying, please include 2–5 products, prototypes, or experiments you have built using AI coding tools.