Jobs AI

We are Formula Spin, an ambitious team specializing in the development of slot games.

Our mission is to create innovative, engaging, and high-quality games that set new standards in the industry.

Formula Spin’s work is based on principles that unite us and make our company not only successful but also a comfortable place for all employees.

We are looking for an experienced 2D Artist.
 

• Format: Remote;
• Experience: 1.5–2 years;

Requirements:

• Experience working with slots and crashes.
• Experience with gambling games, knowledge of game mechanics;
• Experience with UI/UX;
• Understanding of the basics of composition, perspective, form, and lighting (objects: light, shadow, penumbra, reflection);
• Ability to visually represent object materials (wood, metal, glass);
• Ability to draw in various styles;
• Experience drawing by hand (preferably with a graphics tablet);
• Ability to work with AI;

Job responsibilities:

• Creating art for Gambling;
• Preparing files for animation;
• Preparing files for the frontend developer;
• Working with layers when preparing art for layout and animation;

📩 If this sounds interesting—reach out to me! Let’s discuss how you can become part of our team!

Backend AI Engineer

[Freelance, Full-time, Remote]

SNEAK PEEK

⇨ Location: Remote, GMT+0/+4

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

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. 

THE ROLE

We’re looking for a strong systems-oriented engineer with hands-on LLM experience to join our AI Innovation team. In this role, you’ll build AI systems and internal products that improve how teams work across different departments and areas in the company. The common denominator is ownership: you should be comfortable leading projects end-to-end, including clarifying needs with stakeholders, making decisions under ambiguity, and pushing through blockers when they arise.

This role is a strong fit for someone who enjoys both sides of applied AI work: full-stack engineering and practical use of LLM capabilities.

Hiring manager: Ori Nahum, AI Innovation Team Lead 

What you’ll be working on

Examples of projects you may work on:

• AI agents for code generation workflows (especially in mobile applications)
• A mobile app navigation agent
• Backend services that orchestrate LLM workflows, tool calling, and integrations with internal systems
• AI chatbot connected to internal data sources and business systems
• And other new AI-driven solutions that support different departments across the company

You’ll be expected to move between experimentation and implementation: validating ideas quickly, turning the promising ones into reliable tools, and leading projects far enough to make them useful in practice, not just technically possible.

WHAT ARE WE LOOKING FOR?

Must-have

• 5+ years experience in software development (preferably in Python, TypeScript, or mobile development).
• Ability to lead projects from idea to production, including aligning with stakeholders, driving decisions, and proactively removing blockers when needed
• Hands-on experience building LLM-based products, tools, or agents beyond toy prototypes
• Good understanding of prompt design, tool calling, orchestration, and how to make LLM systems actually useful
• Strong English communication skills

Big advantage

• Experience building internal developer tools or productivity systems
• Background in mobile development, especially native Android or iOS
• Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
• Solid understanding of ML theory and how LLMs work under the hood, including key concepts, limitations, and trade-offs beyond the API layer
• Familiarity with cloud infrastructure / DevOps / CI-CD
• Good judgment around where AI adds value and where it doesn’t

Who will do well here

You’ll likely do well in this role if you:

• Like building practical systems, not just demos
• Take initiative without waiting for perfect specs
• Enjoy exploring new tools, but know how to separate hype from what’s actually useful
• Want the freedom to research, experiment, and then ship
• Enjoy working across different problem spaces and use cases, rather than staying in one narrow lane

INTERESTED?

Our recruitment process consists of the following steps: 

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

We're partnered with an AI company that cleans up and enriches messy product data (PDFs, spreadsheets, images, CAD files) turning it into clean, marketplace-ready catalogs for brands and retailers selling on Shopify, Amazon, Walmart, and large PIM/ERP systems. We're helping the company bring on a few more engineers – one of the positions is this Data Scientist one.

Stack: Python / FastAPI on the backend, React / Next.js on the frontend, LLMs throughout. 

Engagement: Full-time, fully remote.

=====

You'll own the ML that powers the enrichment, classification, and validation pipelines — the core of the product. Real data, large scale, noisy inputs, a lot of LLM work alongside classical ML.

What you'll do

• Build classification, extraction, and enrichment models over product data (text, images, metadata)
• Design and ship LLM pipelines – RAG, extraction, validation – in production, not just notebooks
• Run experiments and build evaluation frameworks you actually trust
• Work with engineering to deploy models, not hand them off

We're looking for

• 4-7+ years in data science / ML
• Strong Python (pandas, sklearn, PyTorch, TensorFlow, etc)
• Real experience with LLMs, NLP, CV
• Solid instincts on model evaluation and data quality
• You've worked on messy real-world data and know how to handle it
• You're comfortable working with a significant overlap with the US Pacific Time
• Your conversational English is strong (you will be speaking with your teammates daily)

Nice to have

• Product / catalog / e-commerce data experience
• Experience with vector DBs, embeddings, RAG in production

Position: Content Creator (Short-form Video)
Company: Online gambling company (multiple brands)
Format: Full-time, remote
Markets: US, Europe

About the role

We are looking for a content creator who can produce high-volume, high-performing short-form videos.

Focus: TikTok, Reels, Shorts.

Responsibilities

• Create short-form videos daily
• Adapt viral trends to the gambling niche
• Produce multiple variations for testing
• Use AI tools (Runway and others) + manual editing
• Work closely with SMM and ads team

Requirements

• Proven experience creating viral short-form content
• Experience in gambling / betting niche
• Strong understanding of hooks and retention
• Experience with CapCut / After Effects or similar tools
• Ability to produce big volumes of content consistently and quickly

Will be a plus

• Experience with AI-generated video tools
• Experience creating content for US audience
• Portfolio with performance metrics

On behalf of our client, we are looking for a Senior Forward Deployed Engineer / Industrial AI Deployment Engineer (Python, Linux, PLC, Edge AI).

Responsibilities:

- Own the end-to-end lifecycle of AI deployment for manufacturing clients

- Work directly with customer operations and IT teams as the main technical contact

- Integrate AI vision systems with OT/IT/cloud stacks (OPC-UA, Modbus, PLCs, NVIDIA Jetson, ERP, cloud platforms)

- Build and iterate data pipelines (edge-to-cloud capture, deployment, monitoring, feedback loops)

- Troubleshoot software, networking, and integration issues in production environments

- Document architectures and configurations for handover and support

- Participate in pre-sales calls and contribute to product and engineering improvements

- Support on-site data collection and annotation

Requirements:

- 6+ years of technical experience

- 3+ years of experience with Python, Linux, Docker

- 3+ years of experience with production deployments or system integration

- 2+ years of experience in industrial automation or factory systems

- 2+ years of client-facing experience

- 1+ years of experience with PLC / OPC-UA / Modbus or industrial networking

- 1+ years of experience with computer vision or Edge AI

- Experience with cloud platforms (AWS, Azure, or GCP)

- Networking fundamentals (TCP/IP, VLANs, firewalls)

- Experience working with Git

- Professional English

Nice to Have:

- Experience in industrial automation or manufacturing environments involving OT/IT integration

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

appflame — Ukrainian product-driven tech company building world-class products: Hily, Taimi, AdConnect, Mailkeeper, and more.

About us:

• 7 years in the market, 500+ team members, offices in Kyiv, London, Limassol, and a co-working hub in Warsaw.
• In 2025, appflame ranked 5th among the top 50 employers in Ukraine according to Forbes and won the “Best Place for Growth” award.
• Our apps Hily and Taimi are among the top 5 dating apps in the US with over 70 million users. AdConnect and Mailkeeper focus on building proprietary B2B and B2C solutions.

Our mission:

• To put Ukrainian-built products on the global map.

Our goals:

• Break into the global top 5 product companies.
• Become a unicorn.
• Make Ukraine a country where unicorns are born.

We’re looking for bold, driven people who are passionate about building real products and dream of launching and scaling great startups. You bring the ambition — we provide the environment to make it happen.
 

What you’ll do:

• Design and develop an AI-powered productivity analytics platform — from data pipeline architecture to the final analytical product that helps teams make data-driven decisions.
• Build scalable LLM pipelines (Claude, GPT): develop data chunking strategies, implement MapReduce approaches for parallel processing of large datasets, and synthesize results into structured reports and insights.
• Create a meta-workflow system where LLMs generate, test, and deploy automation scripts in an isolated environment — with automatic self-correction loops and production deployment without manual intervention.
• Develop system-level prompt engineering: build and maintain a library of prompt templates for various analytical scenarios — from summaries and profiles to deep performance analysis.
• Build an evaluation framework for AI output quality control: hallucination detection, consistency scoring, regression tests — ensuring the product delivers reliable and reproducible results.
• Scale the platform to new domains and analysis types without linear growth in manual effort — through an architecture that allows adding new modules via configuration, not code.
• Document AI architecture, define automation specs, and present product insights to stakeholders and clients.
   

It’s a match if you have:

• 2+ years of experience working with LLMs in production: prompt engineering, pipeline development, API integration — with at least 1 year of hands-on experience with advanced features (tool use, structured outputs, agents).
• Strong Python skills (async, dataclasses, type hints, API integrations) and a commitment to writing clean, testable, and maintainable code.
• Understanding of MapReduce patterns for LLM processing: ability to choose chunking strategies, organize parallel processing, and aggregate results into a cohesive analytical product.
• Experience building agentic systems: tool use, self-correcting loops, multi-agent workflows — and the judgment to know when an agent works better than a rigid pipeline.
• Proficiency in SQL and experience working with analytical databases.
• English at C1 level — comfortable reading documentation, writing technical specs, and communicating asynchronously.
• Ownership mentality: you take tasks end-to-end, debug production issues independently, and iterate to deliver results without micromanagement.
   

Nice to have:

• Experience with orchestration/automation platforms (Windmill, Dagster, Prefect) — understanding how to build reliable automated workflows.
• Knowledge of RAG architectures, vector databases, and embedding pipelines — ability to build systems that work with large volumes of unstructured data.
• Experience building evaluation systems for LLMs (LangSmith, PromptFoo, or custom solutions) — understanding how to measure and improve AI product quality.
• Familiarity with Databricks / Delta Lake or Snowflake — experience working with modern data platforms.
• Experience working at product-driven tech companies or AI startups where you needed to build and iterate quickly.
• Understanding of product team metrics (DAU, retention, unit economics) and the ability to connect technical decisions to product impact.
   

Preferred tech stack:

Core:

• Languages: Python (primary), SQL
• LLM APIs: Claude API (Anthropic), OpenAI API
• Databases: PostgreSQL, ClickHouse
• Infrastructure: Docker, Git, FastAPI, Pydantic, pytest, asyncio

Nice to have:

• Languages: TypeScript/JavaScript, Bash
• LLM APIs: Google Gemini API
• Orchestration & Automation: Windmill, Dagster, Prefect, Airflow, Temporal
• RAG & Embeddings: LangChain, LlamaIndex, ChromaDB, Pinecone, Weaviate, pgvector,FAISS
• Eval & Observability: LangSmith, PromptFoo, Weights & Biases, Arize AI
• Databases: Redis, MongoDB
• Data Platforms: Databricks, Delta Lake, Snowflake, BigQuery
• Infrastructure: Kubernetes, AWS (Lambda, SQS, S3), GCP
• CI/CD & DevOps: GitLab CI, GitHub Actions, Terraform

Hiring process: recruiter outreach > interview > test task > final interview > job offer.

🚀 Project

Large-scale e-commerce platform (South Africa) based on PrestaShop, featuring a complex ecosystem and numerous 3rd-party integrations

💡 Why we are hiring

Our project is scaling rapidly, and regression testing is becoming heavier. We already have an excellent QA Engineer who ensures zero critical bugs reach production. However, to give her room to grow and improve our overall processes, we need a reliable teammate to take over a significant portion of manual testing and bring a fresh perspective to our product.

📝 Key Responsibilities

• Manual testing of new e-commerce features and integrations.
• Conducting deep regression testing before production releases.
• Requirement Analysis: Participating in feature grooming and reviewing primary documentation to highlight potential edge cases before development starts.
• Deep Investigation: Analyze server logs, inspect database records (optionally with backend team support), and accurately isolate and report backend issues.
• Creating high-quality, reproducible bug reports.
• Assisting the team in structuring and maintaining QA documentation.

👥 About the Team & Culture

We are a compact, highly driven dev team (remotely - Backend, Frontend, QA and CTO in Ukraine) that works closely with Account Manager and COO from South Africa. We don't do micromanagement; we operate on hyper-responsibility. We are the kind of people who don't ask for permission to investigate a complex issue. We argue with reason, reach a consensus, and respect each other's opinion and time.

• Internal communication: Ukrainian/Russian.
• Client communication, documentation, and Daily Stand-ups: English.

🎯 The Mindset We Are Looking For

• Deep Responsibility. We prefer you to test slowly and thoughtfully rather than rushing and missing obvious edge cases.
• High Autonomy. You know how to google and use AI, read documentation, and think logically before bringing a question to anyone. However, during probation period all sorts of questions are welcomed. 
• Initiative. We welcome fresh ideas, but we always align on the boundaries first to ensure they bring value, not chaos.

🤝 Hiring Process

1. Apply — send your CV.
2. Interview with CTO and QA Lead.
3. Probation (2-3 months).
4. Oficcial offer (payroll, not FOP)

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

Now we are looking for a Software Development Engineer (MLOps) to join us as part of our team.

About the role

As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team composition

1 Engineering Manager, 4 Senior ML Ops Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation.
• Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment.
• Provide mentorship, technical guidance, and perform code reviews for team members.
• Design and deliver on projects end-to-end with little to no guidance.
• Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC.
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities.
• Support the vision and values of the company through role modeling and encouraging desired behaviors.
• Participate in various cross-functional company initiatives and projects as requested.
• Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.
• Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.

We’re looking for you if you have

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
• 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
• 4+ years of experience designing and building distributed software systems and architectures.
• 3+ years of hands-on experience deploying and operating Machine Learning services in production.
• Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
• Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
• Demonstrated experience with SQL and NoSQL database design and implementation.
• Ability to decompose complex problems into iterative, well-defined solutions.
• Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
• Ability to be a team player who can also work independently.
• Experience working across multiple development teams is a plus.

Desired Skills

• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Proficiency in GitOps practices and CI/CD pipeline development and management.
• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
• Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
• Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
• Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
• ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
• API development with FastAPI or similar frameworks.
• Java programming experience is a plus.

Interview Process

1. Pre-Screening with the recruiter
2. Tech Interview(ML Fundamentals, Software Engineering) + Live Coding (up to 1,5 hours)
3. ML System Design Interview (up to 60 min)
4. Interview with Engineering Manager (60 min)
5. Final Client Interview (60 min)

About us

We build AI-powered solutions that solve real business problems. You’ll work with the latest technologies and implement production-grade AI features, including RAG pipelines, agentic and multi-agent workflows.

Responsibilities

• Solve engineering problems related to process automation, knowledge systems, and agentic / multi-agent architectures.
• Design, build, and maintain AI-powered features that go beyond basic LLM API calls.
• Develop backend services using Node.js (Express, Fastify, or NestJS).
• Implement and iterate on RAG pipelines (retrieval strategies, chunking, evaluation, quality improvements).
• Integrate external APIs, payment systems, and authentication flows.
• Design clean REST APIs and ensure reliable client–server communication.
• Work with PostgreSQL.

Requirements

• Strong problem-solving mindset, creativity, and ability to learn quickly.
• Solid Node.js experience in production (2+ years).
• Practical experience and strong interest in LLM-based systems, not just simple ChatGPT-style wrappers, including:
  • RAG
  • LangChain (bonus: LangGraph, LangSmith)
  • Prompt engineering
• Understanding of backend fundamentals: APIs, databases, performance, and debugging.

Nice to have

• Experience with Python and FastAPI.
• Redis, queues, caching.
• AWS or GCP familiarity.
• CI with GitHub Actions.
• Monitoring and tracing tools (Prometheus, Grafana, OpenTelemetry).

What we offer

• Competitive salary and bonuses
• Remote-first culture
• Flexible schedule
• Open-minded, results-driven environment
• Product ownership and impact

Hey! We’re looking for an AI Designer to create high-quality AI-driven visual and content assets for our internal products.

Responsibilities:

• Create high-quality visual and content assets using AI tools.
• Generate, refine, and finalize AI-based images, videos, and text.
• Adapt content to brand guidelines, tone of voice, and product goals.
• Build and improve prompts and AI workflows.
• Collaborate with marketing, product, and founding teams.

Requirements:

• Strong experience with AI content generation tools (Veo 3, Kling, Sora, Seedream, Midjourney, etc).
• Ability to curate and polish AI-generated output.
• Solid visual taste and attention to detail.
• Experience with Figma / Photoshop / Canva.
• Understanding of marketing and product needs.
• Strong awareness of pop culture, trends and audience interests.
• High level of autonomy.

Nice to have:

• Experience with Web3 / AI.
• Advanced prompt engineering.
• Experience with pitch decks and presentations.

What we offer:

• Fixed salary + performance bonuses.
• Fully remote work and a young, energetic team.
• Access to a unique knowledge base.
• Additional bonuses for outstanding project achievements.

‼️ Please remember to attach your portfolio; otherwise we will not be able to consider your application

Adwisely is an Ad Tech SaaS on Shopify that helps e-commerce businesses run profitable ads on Meta and Google. Our product vision: an AI agent that manages ad spend, optimizes ROAS, and delivers results — so merchants can focus on their business, not their ad accounts.

We're looking for a senior engineer to take real ownership of the product and help us ship the next version of the platform — not as a ticket-taker, but as the technical co-owner of what we build and how we build it.

What you'll own

• AI-assisted development infrastructure. You'll own the system that lets our team ship fast with AI. That means: expanding our CLAUDE.md with real coding conventions, building Claude Code skills and hooks, setting up CI quality gates (linting, formatting, automated tests), and creating the pre-merge workflow so AI-generated PRs pass review on the first try. This is your highest-impact work in the first month.
• AI-native product experience. Store intelligence that analyzes a merchant's data, scores products by predicted ROAS, and drives every recommendation the platform makes.
• Shopify-deep integration. Adwisely should live where merchants already work: Shopify admin, Sidekick, Flow — not as a separate dashboard they forget about.
• Platform reliability and UX improvements. Bulletproof onboarding, ROAS optimisation, clearer performance visibility.
• Quality at every stage. You own QA as part of the delivery process, not as an afterthought. That means writing specs that include test cases, reviewing AI-generated diffs for correctness, and building end-to-end tests for critical paths.

How we work

We build with AI-assisted development. Our primary tool is Claude Code with a custom CLAUDE.md, project-specific skills, and pre-commit hooks. You'll extend and improve this setup.

The workflow is: write a tight spec, generate an implementation plan (reviewed by you before coding starts), generate the implementation with Claude Code, pass automated quality gates, and ship. You'll be the person who makes this workflow reliable — so that PMs can independently deliver features at high quality.

You'll work directly with the company founders. No PM layer, no sprint ceremonies. Team: 2 PMs, 1 senior dev, 1 part-time dev. Small team, high ownership, no bureaucracy.

This role is for you if...

• You have 5+ years with Python and React in production
• You have hands-on experience with AWS: EC2, RDS, S3, Lambda, or similar services
• You're comfortable owning the full stack: React frontend, Python backend, cloud infrastructure
• You've worked with at least one of: Shopify APIs, Meta Marketing API, Google Ads API
• You're used to being the primary engineer and making architectural calls without a lot of hand-holding
• You can move between support and feature work without losing momentum
• You've used Claude Code, Cursor, or Copilot in production — and you have opinions about where AI helps and where it doesn't
• You treat QA as part of shipping, not a separate phase. You write tests, review diffs carefully, and don't merge what you haven't verified
• You're excited about building the dev process itself, not just building features within one

Nice to have

• Experience building or maintaining Shopify apps (ours is built on Remix)
• Familiarity with LLM API integration (Anthropic, OpenAI, Gemini)
• Any background in ad tech or performance marketing
• Experience setting up CI/CD pipelines, automated testing, or developer tooling

What we offer

• $4,500-6,000/month depending on experience
• Equity stake with vesting — you're joining as the primary engineer at a pivotal moment (details in offer conversation)
• Architecture ownership: meaningful decisions, not just tickets
• Greenfield opportunity to shape how the entire engineering org works
• Fully remote, flexible schedule
• Paid vacation

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.

We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.

Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is looking for a Computer Vision Engineer to join a project with a global leader in biomedical imaging. The company offers a comprehensive product portfolio for Karyotyping, H&E, IHC, and FISH analysis, providing advanced imaging and analysis tools for Pathology, Cytogenetics, and Research laboratories. This role involves working on cutting-edge solutions that enable high-precision diagnostics and support innovation in scientific research.

Key Requirements:

🔹 5+ years of hands-on experience in algorithm development using Python (must) and C++ (advantage);
🔹 Proven experience in training, fine-tuning, and deploying AI/ML models – Must;
🔹 Experience in Computer Vision (e.g., Shape Analysis) / Image Processing using image processing libraries like OpenCV in C++ – Advantage;
🔹 Strong ability to work independently as well as in a SCRUM team under Agile dynamic environment; proactive and self-driven;
🔹 Methodical, solution-oriented mindset with a strong “can-do” approach;
🔹 MSc or PhD in Biomedical Engineering, Electrical Engineering, Computer Science, Physics, or a related field – Must;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Research and develop advanced algorithms in Machine Learning, Neural Networks, Computer Vision, Image & Signal Processing, to be integrated into ASI products;
🔹 Define software specifications and deliver production-ready code that meets project milestones, while addressing constraints such as computational resources, response time, and memory consumption (GPU and CPU);
🔹 Train, optimize, validate and Integrate AI/ML models for diagnostic and imaging applications using Python and its libraries (PyTorch, NumPy, etc);
🔹 Collaborate closely with cross-functional teams, including R&D, Applications, and Product groups;

Interview stages:
🔹 HR Interview;
🔹 Tech interview;
🔹 Client Interviews;
🔹 Reference check;
🔹 Offer;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

We are looking for an English Proofreader to join Group107 for a specific client project. You will review and refine documents translated by AI, ensuring linguistic accuracy, clarity, consistency, and professional tone before final delivery. The role is critical to safeguarding quality across legal, financial, and corporate content delivered to international clients.
 

Responsibilities

• Proofread and edit AI-translated documents in English across legal, financial, and corporate domains
• Correct grammar, spelling, punctuation, and syntax errors
• Improve clarity, flow, and overall readability of translated content
• Ensure consistency in terminology and formatting across documents
• Adjust tone to match professional, legal, or corporate standards based on document type
• Flag unclear, inaccurate, or contextually incorrect AI translations for review
• Maintain strict confidentiality of sensitive client documents 

Required Skills

• Excellent written English (native or near-native level)
• Strong knowledge of English grammar, punctuation, and syntax
• High attention to detail and accuracy
• Familiar with financial terminology and ability to handle finance-related content accurately
• Good knowledge of Microsoft Word, PDF, and Google Docs for structured document work
• Ability to meet deadlines and handle multiple documents in parallel 

Soft Skills

• Self-motivated and reliable
• Team player with effective written communication
• Strong focus and ability to sustain concentration on detail-heavy tasks
• Openness to feedback and willingness to learn editorial standards 

Nice to Have

• Experience proofreading legal, financial, or corporate documents
• Experience working with AI-translated content
• Background in translation, linguistics, or English studies
• Familiarity with terminology consistency tools (e.g., CAT tools, glossaries)
• Experience with style guides (Chicago, AP, or corporate-specific) 

What We Offer

• 20 vacation days (workdays)
• 7 sick days
• Personalized career growth
• Internal English classes
• Education reimbursement
• Corporate events and team buildings
• Equipment provided

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.

We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board.

We're building the #1 payment orchestrator in the world — and the names behind us prove it. Clients include Bolt, Ajax, Nova Post, MEGOGO. Trusted by giants like J.P. Morgan. Ranked #2 in the "Employer of the Year 2026" award by Forbes Ukraine.

About the Role

Our marketing mission is simple: Solidgate should be everywhere. Every channel. Every conversation. Every feed.

⚡ This role is for a builder — someone who knows that great content doesn't happen on its own, it's created, tested, and refined every single day.

We're looking for a Senior Content Manager who will be the bridge between product, sales, and the market. Someone who turns complex fintech into stories that CPOs and CFOs at target companies actually read. Not a brief executor — a channel owner who plans, decides, and publishes.

What you'll own

• Full ownership of the LinkedIn channel — content plan, writing, publishing, and analytics. Your posts land in front of CPOs and CFOs at our target companies.
• Product content: turn feature releases and product updates into blog posts, LinkedIn content, and website copy that actually connects with B2B buyers.
• Stakeholder management: independently extract insights from product, sales, and AM teams — no chasing required. Build bridges so content flows without bottlenecks.
• PR & thought leadership: expert articles, media commentary, and thought leadership content that establishes Solidgate as the go-to voice in payments.

You'll be great at this if

• You have 2+ years in B2B/SaaS content marketing and have independently owned a company LinkedIn channel — not just contributed to one.
• Your English is C1+ and you can write product-heavy content that doesn't sound like a manual.
• You don't wait for a detailed brief. You show up with ideas and drive them to publish.
• You have written case studies and product content — not just SEO articles about abstract topics.
• Fintech or payments background? That's a major plus — but deep curiosity and a fast learning curve can get you there too.

Why Solidgate?

Real impact. Your LinkedIn post is read by CPOs and CFOs of companies we're closing. Your case study ends up in the sales deck.

True autonomy — you own the channel. Plan, decide, publish — no approval queue for every post.

Speed — minimum bureaucracy. Short feedback cycles. Decisions actually get made.

Fintech depth — go deep into the payments industry alongside a team with 10 years of experience.

Growth path — a clear road to Head of Content or Content Lead at a fintech company with global reach.

🫂 Know top talent? We’re always on the lookout. Recommend someone for our role, and if they get hired, there’s a bonus waiting for you — simple as that.

Sii Ukraine is a subsidiary of Sii Poland — the leader in IT, engineering, and consultancy services with over 7500 IT experts in Poland and more than 250 prestigious customers. We are looking for ambitious and top-quality professionals to join our project teams. 

We are seeking an AI Leader with a holistic understanding of modern AI technologies - including classical machine learning, deep learning, and especially the latest advancements in generative AI. This role requires not only deep technical literacy but also the ability to guide teams, mentor talent, and foster a high-performing, collaborative AI organization. As a people-first leader, this individual will inspire and develop multidisciplinary teams, influence stakeholders, and ensure alignment between technical execution and business goals. The role may involve spending up to 70% of the time on non-technical activities such as stakeholder engagement, cross-functional leadership, and supporting business development or sales initiatives.

Responsibilities:

• Develop, mentor, and empower multidisciplinary AI teams, including data scientists, engineers, and product managers—by setting clear expectations, providing coaching, and cultivating a collaborative, high-performing culture.
• Drive talent strategy for the AI organization, including hiring, onboarding, performance management, and building a diverse and inclusive team with strong technical and interpersonal skills.
• Design and oversee end-to-end AI system architectures, ensuring seamless integration of machine learning models, data pipelines, and infrastructure while guiding teams toward scalable, high-quality solutions.
• Champion innovation by staying current with cutting-edge AI research, emerging technologies, and experimental techniques, and by encouraging continuous learning across the organization.
• Represent the AI function in customer-facing and executive-level engagements, delivering technical presentations, leading discussions, addressing complex inquiries, and clearly articulating AI value propositions and solution feasibility.

Requirements:

• 10+ years of experience delivering customer-facing AI solutions, including 5+ years in a leadership or equivalent strategic role guiding teams and driving end-to-end AI initiatives.
• Deep technical expertise across AI models, algorithms, and tooling, with strong proficiency in at least one major cloud provider’s AI/ML ecosystem (AWS, GCP, or Azure).
• Proven ability to work cross-functionally with product, engineering, sales, and executive stakeholders to translate complex, cloud-based AI capabilities into clear, high-impact business outcomes.
• Demonstrated commitment to continuous learning, maintaining up-to-date knowledge of emerging cloud AI services, machine learning infrastructure advancements, and evolving industry best practices.
• Exceptional communication, leadership, and people-management skills, with a track record of hiring, developing, and enabling high-performing AI teams.
• Excellent command of English, enabling effective and fluent communication
• Tax residence in Ukraine and fluency in Ukrainian is required