Jobs ML / AI Engineer

We are a British—Ukrainian air defence tech company building distributed systems across the frontline. We are looking for a Senior AI Platform Engineer to take ownership of the data and ML infrastructure behind our current and future inference products.

Our core value is impact for Ukraine: we build technology that makes a real difference on the actual battlefield, not in labs or on paper specs. We operate with a deep-tech mindset, pushing new technologies where engineering rigor truly matters. We value ownership and responsibility—people who execute, deliver, and stand behind the results.

What you’ll do

• Build production-grade data collection, labeling, and dataset curation pipelines for inference models, with especial focus on CV models
• Design workflows for annotation, quality control, and continuous dataset improvement
• Set up model deployment, experiment tracking, versioning, and monitoring
• Support & optimize training and inference runtime pipelines in production environments
• Help run experiments, evaluate results, and improve system performance
• Help define the architecture and engineering standards for ML infrastructure across product lines

Requirements:

• Strong MLOps experience building data pipelines, labeling workflows, model deployment & production optimization, experiment tracking, and orchestration
• Background in Machine Learning / Computer Vision and experience with popular ML frameworks
• Ability to be involved in research process: help experiment, evaluate, deploy, improve
• Strong analytical thinking and solid foundations in linear algebra, probability, and statistics
• English: B1 or higher (working w/ international team members)

Nice to Have

• Experience in DefenseTech, SigInt, or embedded systems
• Understanding of RF-related data or sensor-driven ML systems
• Experience with real-time or low-latency ML pipelines
• Background in active learning, human-in-the-loop labeling, or continuous retraining workflows

We Offer

• Meaningful and high-impact work in the AIR defense domain
• Practical R&D environment with real autonomy
• Direct influence on technical decisions and the product direction
• Work in an experienced senior engineering team
• Сlear, fast, senior-to-senior communication with a minimum number of team meetings
• Remote, hybrid or offline Full-time position with office in the center of Kyiv

Responsibilities:

• Own and support core ML infrastructure (MLflow, CVAT, GPU/CPU cloud instances, internal data tools).
• Assist Data Engineers with deploying and maintaining data pipelines.
• Act as the primary contact for ML and Data teams on infra-related requests.
• Improve reliability and efficiency by adding automation, monitoring, and tooling enhancements.
   

Must have:

• Knowledge of Python, Terraform, Docker, Linux.
• Hands-on experience with cloud environments (Azure prefered).
• Understanding of the end-to-end ML lifecycle (data → training → evaluation → deployment → monitoring).

Nice to have:

• Familiarity with Kubernetes.
• Experience with FFmpeg or GStreamer for video processing and streaming.
• Experience with model serving frameworks and inference formats (ONNX, TensorRT, OpenVINO, NVIDIA Triton).
• Experience deploying computer vision models, especially to edge/embedded devices (NVIDIA Jetson, Intel platforms, Raspberry Pi).

• Надаємо бронювання від мобілізації

The company is looking for a Tech Artist / Assets Manager who blends technical precision with creative insight to enhance, automate, and streamline asset workflows for AI-powered playable ads.

This role bridges the gap between Creative, Development, and Production teams, ensuring every visual, 3D, and VFX asset moves seamlessly from concept to final build.
 

It’s a perfect fit for someone who understands both the artistic vision and the technical structure behind game pipelines - and who enjoys designing smarter, faster, and more efficient ways to manage assets.
 

You’ll take ownership of how assets are organized, optimized, automated, and integrated into production. By supporting internal AI systems, Unity environments, and creative tools, you’ll help maintain a scalable, intelligent, and smooth playable ad pipeline.

 

Key Responsibilities:
 

• Optimize and prepare assets (3D models, textures, animations, VFX, UI, and audio) for lightweight HTML5 playable ads.
• Automate workflows for asset preparation, naming, compression, and deployment using internal AI tools or custom scripts.
• Ensure assets are fully compatible with AI-driven production systems and can be efficiently processed through automated pipelines.
• Establish and maintain structured folder systems, naming conventions, and versioning across all projects.
• Validate and test assets in 3D tools to ensure visual integrity and performance.
• Communicate effectively with tech art, creative, and development teams regarding asset readiness and optimization standards.
• Maintain clear documentation and visual references for each asset package to ensure transparency and reusability.
• Continuously identify opportunities to enhance automation, reduce manual tasks, and streamline production flows.
  
   

Qualifications:
 

• Hands-on experience with various 3D tools (Blender, Three.js is a plus).
• Solid understanding of asset optimization (polygon reduction, texture compression, material efficiency).
• Familiarity with AI-assisted production pipelines or creative automation tools.
• Basic understanding of game design principles and how assets influence gameplay and user experience.
• Exceptional organizational skills - clean naming, clear structure, and consistency are key.
• Basic scripting or batch-processing experience (Python, JavaScript, or CLI tools).
• A collaborative, solution-oriented mindset with strong communication skills in English.
• (Nice to have) Experience with version control (Git), render pipelines, or internal asset management tools.
  
   

Why You’ll Love Working Here:
 

This is an opportunity to be part of a fast-evolving creative tech environment where innovation meets automation. The company empowers you to shape the future of AI-driven playable ads, helping to design workflows that are intelligent, scalable, and efficient.

If you thrive at the intersection of creativity and technology—and want to make a real impact in how digital assets are produced and this is your chance to grow with a forward-thinking team.

 

Interested? Let’s Connect!
 

If this sounds like you, don’t hesitate—send your CV and contact information today. The company is actively reviewing applications and would love to learn more about your skills, projects, and creative mindset.
Take the next step toward joining a team where your technical talent and creative curiosity truly matter.

Company Overview:
Webxloo, LLC is an international software development company founded in 2005, with headquarters in Florida, USA, and a branch in Ukraine. Our products, including Autoxloo and Simulcast , focus on business automation and real-time systems in the automotive industry. We are expanding and seeking a highly skilled AI & PHP Backend Developer to join our team.
 

Role Overview:
As an AI & PHP Backend Developer at Webxloo, you will play a dual role: designing and implementing AI-based automation solutions while developing and maintaining robust backend systems using PHP. You will collaborate with cross-functional teams to enhance our product offerings, ensure system scalability, and deliver intelligent automation solutions that provide real business value.
 

Key Responsibilities:

• Design, implement, and maintain AI-driven automation workflows to optimize internal and external processes.
• Build intelligent automation using machine learning, LLMs, and low-code/no-code tools such as n8n, Zapier, or Power Automate.
• Integrate AI features into enterprise platforms and software products.
• Develop and maintain backend modules using PHP frameworks such as YII2, Laravel, or Symfony.
• Work with databases including MySQL/MariaDB, MongoDB, Redis, and ensure efficient data management.
• Implement clean, maintainable code following OOP principles, SOLID, DRY, KISS, YAGNI, and PSR standards.
• Collaborate with front-end developers, QA, design, and support teams to deliver high-quality features.
• Monitor, debug, and enhance existing codebases to ensure system reliability, performance, and security.
   

Required Skills & Qualifications:

• 1+ year of experience in AI development, workflow automation, or backend PHP development.
• Solid experience with PHP frameworks (YII2, Laravel, Symfony) and OOP principles.
• Proficiency with MySQL/MariaDB, MongoDB, and caching/message queue systems (Redis, RabbitMQ).
• Experience with RESTful APIs, XML, DOM, CURL, and Regex.
• Familiarity with AI/ML tools, LLMs, and enterprise automation platforms.
• Strong analytical skills and attention to detail.
• English proficiency (intermediate or higher) for technical documentation and collaboration.
• University degree in Computer Science, Engineering, or a related field.
   

Preferred/Advantageous Experience:

• Experience with cloud platforms, Docker, Kubernetes, or serverless architectures.
• Experience in automotive, healthcare, or digital commerce industries.
• Knowledge of frontend frameworks (React, Vue.js) is a plus.
   

What We Offer:

• Competitive salary with regular reviews.
• Standard working schedule with no overtime (9:00 - 18:00, lunch break 13:00 - 14:00).
• Exposure to international projects with various AI and backend development challenges.
• Career growth, skill expansion, and leadership opportunities.
• Collaborative team environment with experienced professionals.
   

Technical Requirements:

• Computer or laptop with at least 16GB of RAM.
• High-speed internet (minimum 20 Mbps).

• Headset and webcam for regular video calls.
   

  Higher consideration would be granted to individuals that have completed AI certification, particularly those with experience in Claude Code (Claude 4.7) and its related tools and ecosystem!
   

  Candidates must have worked with clear understanding utilizing the Anthropic Claude Co-working workspace and tools.

If you are interested in this opportunity, we encourage you to apply now.

Responsibilities:
• Work closely with different departments (Marketing, Sales, HR, Finance, etc.) to understand their workflows and identify opportunities to improve efficiency using AI tools.
• Analyze existing processes and propose automation or AI-assisted solutions.
• Implement AI-powered automations using available tools (LLMs, workflow automation platforms, data tools, etc.).
• Build and maintain internal AI workflows, prompts, and integrations.
• Train and support team members in using AI tools in their daily work.
• Monitor performance of implemented automations and continuously improve them.
• Document AI workflows, best practices, and internal guidelines.

Requirements:
• Strong curiosity about AI and automation and motivation to continuously learn.
• Basic understanding of AI tools (e.g. LLMs, automation platforms, data tools) and how they can be applied in business processes.
• Analytical mindset and ability to break down workflows and identify inefficiencies.
• Basic technical skills (e.g. working with APIs, automation tools, spreadsheets, or scripting is a plus).
• Experience in operations, data analysis, product, or technical roles is a plus.
• Ability to communicate with both technical and non-technical teams.
• Problem-solving mindset and willingness to experiment with new tools.
• Self-driven and proactive approach to identifying improvement opportunities.

Nice to Have:

• Experience with automation tools (Zapier, Make, n8n, etc.).
• Experience with prompt engineering and LLM-based workflows.
• Basic knowledge of Python, SQL, or data analysis.
• Experience implementing internal tools or process improvements.

We offer:
• Convenient work schedule (8/9/10/11 — 17/18/19/20);
• 21 working days of vacation;
• 10 working days of sick leave;
• Extra days off for birthday, wedding, etc and for public holidays;
• Payment for training;
• Financial and intangible gifts from the company;
• Free communication, the ability to influence processes and implement your ideas;
• Comfortable and easy management, no tyranny.

How We Hire:
We’re not here to make you jump through flaming hoops (unless that’s your hobby — in which case, we’ll cheer you on). Our goal is to see if we’re a good match for each other — and to make sure you enjoy the ride.

1. Pre-Screen Call — 30 min
A quick hello with one of our recruiters. We’ll talk about your background, your goals, and what you’re looking for. In return, we’ll tell you more about ABXplay, the role, the team, and answer any burning questions.
2. Hard Skills Interview — 30–60 min
You’ll meet your potential manager. We’ll dive into the real stuff — your future responsibilities, the challenges ahead, and the kind of work you’d actually be doing (no mystery here).
3. The Offer Stage

We are an international developer of IT products for medicine and related services. Our products are used by more than 5,000 doctors and more than 1,000 clinics in Europe.

The goal is to attract the largest possible audience to the main projects - clinics and doctors up to 3 million. As well as expanding unique traffic to 10 million per day until 2025. We are looking for AI Engineer / AI Architect with deep knowledge of Fundamental Mathematics, Probability Theory and Bayesian Statistics, Graph Algorithms, Mathematics of Transformers, Hybrid AI Approaches, Uncertainty Assessment.

Must-have skills are:
1. ML and Data Science (Core):
- Expert in NLP & LLM: Deep understanding of Transformers architecture (BERT, RoBERTa, GPT, T5, Llama/Mistral). Experience with Large Language Models (LLM) – not prompt engineering, but fine-tuning (PEFT, LoRA) of open-source models on specific datasets.
- RAG (Retrieval-Augmented Generation): Experience building RAG systems is required. The AI ​​must be able to search for information in different data sources.
- Named Entity Recognition (NER) & Information Extraction: Ability to extract specific entities from unstructured text.
- Tabular Data & Classic ML: Confident use of classical algorithms (XGBoost, CatBoost, LightGBM) for analyzing structured data and building probability scoring models.
- Frameworks: PyTorch (preferred) or TensorFlow/Keras. Proficiency in HuggingFace, Scikit-learn, Pandas, and NumPy.

2. MLOps:
- Experience wrapping models in APIs (FastAPI, Flask) with minimal latency. 

- Docker knowledge and experience working with local GPU instances are required.
- Experience working with vector databases (Pinecone, Milvus, Qdrant, ChromaDB) for quickly searching for similar cases or working with knowledge bases.

- ML Pipelines: Experience building model training and retraining pipelines (Airflow, MLflow, DVC).

3. MedTech and Security:
- Practical working experience with sensitive personal data and GDPR/DSGVO requirements.

- It is important to be able to deploy and optimize local models (Llama 3, Mistral, Mixtral) within a closed company environment to ensure data privacy.
- Skills in quantization and distillation of models to speed up work without significant loss of quality.

Nice-to-have skills:
- Experience working specifically with medical data (EHR, EMR; HL7, FHIR, ICD-10/11 standards). 

- Knowledge of Interpretability/Explainable AI (XAI) methods. The end user should understand why the AI ​​suggested a particular option (SHAP, LIME).

- Experience with multimodal models.

What we offer:
- Paid holiday for 28 working days.
- Transparent incentive system.

Working with us means:
- Unique technological and innovative projects.
- Gaining experience in modern western world practices in security, scalable architecture, etc.
- In-depth knowledge of telemedicine.
- Working with Big data, high load, distributed computing and data buses.
- Socially important projects.
- Opportunity to influence both technology and product solutions.
- Profitability and stability of a large European company.

We seek a Strong Middle ML / AI Engineer to join our team on a humanitarian transparency platform. This is a hands-on engineering role focused on building machine learning models and data pipelines — primarily around deduplication, anomaly detection, and statistical analysis of humanitarian data.

 

🧙‍♂️ In This Role You Will

• Design, build, and maintain ML models for deduplication, anomaly detection, and predictive analytics.
• Work with structured humanitarian data — beneficiary records, financial transactions, procurement flows.
• Build and maintain data processing pipelines using Python (Pandas, NumPy, scikit-learn).
• Collaborate with the backend team to expose ML/AI outputs via APIs.
• Monitor model performance and iterate based on real-world feedback.
• Document your work and support knowledge sharing within the team.
  
  
   

🎯 You May Be Interested If

• You enjoy working with messy, real-world data and turning it into reliable ML outputs.
• You care about model quality, reproducibility, and practical impact.
• You're comfortable applying classical ML approaches to solve concrete business problems.
• You're excited to collaborate in a remote, cross-functional environment.
• You value autonomy, clear communication, and working in a supportive, small-team setting.
  
   

👌 Role Requirements

• 3+ years of experience in ML engineering, data science, or a closely related role.
• Strong Python skills: Pandas, NumPy, scikit-learn.
• Experience building and deploying ML models in production environments.
• Solid understanding of data pipeline design and data quality practices.
• Familiarity with cloud platforms (Azure or AWS) for ML workloads.
• Proficiency with Git and standard development tooling.
• English proficiency at B1 level or higher.
   

Nice to have:

• Experience with PyTorch or TensorFlow.
• Hands-on experience with LLM integrations (OpenAI, Anthropic, or similar).
• Familiarity with ML experiment tracking tools (e.g. MLflow, Weights & Biases).
• Experience with GIS or geospatial data.
• Background in fraud detection, entity resolution, or deduplication tasks.
• Familiarity with Docker and CI/CD workflows for ML pipelines.
  
   

💻 Working Conditions

• Employment Type: Full-Time
• This is a fully remote position with the entire team across Ukraine.
• 20 working days of paid vacation per year.
• The team collaboratively defines deadlines, ensuring a balanced and manageable workload. The focus is on delivering commitments on time.
• Flexible working hours to promote a healthy work-life balance.

A Ukrainian-British software company is seeking an ML/Computer Vision Engineer to join their team.

About the product: A spatial data analysis platform tailored for the UK and US markets. The company is successfully adapting MilTech innovations (SLAM/LiDAR) for commercial use.

The challenge: As the project scales from a prototype to enterprise-grade deployment, they need an expert to build the platform's "intelligent core." You will be responsible for creating systems that handle automated 3D change detection and track object conditions over time.

Why apply? This is your chance to translate your expertise in computer vision and 3D reconstruction into a high-impact product with a solid business model in Western markets.
 

Key Requirements:

• Strong background in Computer Vision, 3D Reconstruction, and Object Detection, including hands-on experience in training neural networks from scratch and selecting/curating training datasets.
• Fluency in English (both written and spoken).

Responsibilities:

• Design and build a temporal comparison pipeline: point cloud alignment (ICP, feature-based registration), change detection across aligned spatial models, surface-level condition change classification.

• Build and train a condition scoring model: defect type classification, severity grading.

• Develop a synthetic data generation pipeline from real-world data assets.

• Implement and adapt feature matching architectures (SuperGlue, LightGlue, LoFTR).

• Own model validation against the ground truth dataset: false positive rate, false negative rate.

• Research and evaluate 3D Gaussian Splatting and NeRF-based representations as potential improvements to the point cloud comparison pipeline.

Benefits & Perks:

• Hands-on experience with 3D Gaussian Splatting, NeRF, Master SL (open-source SLAM library), and ARKit.

• 20 working days of paid vacation + 5 paid sick days annually.

• Health insurance matching/compensation and company-provided tech equipment.

• Full-time, 100% remote.

ORIL is seeking a highly skilled Senior AI/ML Engineer to architect and scale our mission-critical, AI-driven data platform. At the core of our engineering culture is a steadfast commitment to performance, reliability, and uncompromising data integrity. The ideal candidate is an autonomous problem-solver who thrives in an agile environment, takes end-to-end ownership of complex systems, and pairs a bias for action with a dedication to robust, stable deployments.

 

Project:

Our client is a US-based innovator providing a centralized data platform for multi-family real estate. The product uses BI and AI analytics to help operators optimize marketing spend and operational efficiency. A core AI feature of this platform is an intelligent chatbot designed to help users seamlessly manage workflows, query data, and surface actionable insights.

What are we looking for?

• 5+ years of experience building and owning production-grade backend and ML systems in Python;
• Proven experience designing and deploying complex, multi-step LLM workflows and conversational agents (chatbots) using frameworks like LangChain or LangGraph;
• Deep understanding of RAG (Retrieval-Augmented Generation) pipelines: from chunking and embedding strategies to retrieval optimization and prompt engineering;
• Experience with "Text-to-SQL" or translating natural language into complex data queries, as the chatbot will interact heavily with BI analytics;
• Experience with LLM observability, tracing, and evaluation frameworks (e.g., Langfuse, Braintrust, Arize Phoenix, Ragas, or DeepEval);
• Experience with systematic prompt lifecycle management, versioning, and algorithmic optimization (e.g., DSPy);
• Experience profiling and minimizing time-to-first-token (TTFT) and overall response latency for real-time conversational agents;
• Strong analytical skills with the ability to explore datasets, identify patterns, measure outcomes, and derive actionable insights; 
• Familiar with data cleaning and normalization techniques to ensure accurate, consistent, and reliable data for analysis and AI-driven applications;
• Curious about how multi-family real estate works and motivated to understand the key metrics behind the business (marketing spend, operational efficiency etc.) to better tune AI outputs;
• English level: Upper-Intermediate (B2+).

What will you do?

• Design, develop, and own the core AI architecture powering the platform's intelligent chatbot and automated BI insights;
• Build and refine advanced RAG pipelines to ensure the chatbot surfaces accurate;
• Develop robust AI agents capable of managing platform processes and executing complex operational tasks on behalf of the user;
• Set up and maintain automated CI/CD gates that run LLM evals and integration tests;
• Maintain a high shipping tempo, continuously iterating on chatbot features based on user feedback and internal telemetry;
• Diagnose and fix complex issues in the AI pipeline using advanced tracing and observability tools;
• Work closely with data engineers and product managers to refine the technical roadmap and ensure the AI seamlessly integrates with the broader BI platform.

We Offer:

Working conditions:

• Ability to grow with an ambitious niche-focused company
• Competitive compensation;
• Accounting Support Services;
• Flexibility to work from anywhere (fully remotely or in our office in Lviv);
• Comprehensive day-off policy, including public holidays and special events
• Education & certification budget + corporate education events and trainings
• Wellness budget
• The environment and culture that promotes personal and team development.

Application Process:

• Initial Screening: Call with Recruiter.
• Technical Interview.
• Client Interview.
   

Ready to build the future of AI-driven real estate operations? Apply now and let’s get to work!

dNOVO Group is looking for a person who can create websites using AI tools.

This is not a developer role.
This is not a coding role.
This is not a UX/UI designer role.

We need someone who knows how to use AI tools to build clean, professional websites and landing pages.

Responsibilities

• Create website pages using AI tools
• Generate layouts, sections, text, images, and website concepts
• Use AI website builders and AI design tools
• Edit and improve AI-generated websites
• Create homepages, service pages, landing pages, contact pages, and blog layouts
• Make sure pages look good on desktop and mobile
• Follow instructions and complete tasks quickly

Required Skills

• Strong experience using AI tools
• Ability to create websites with AI website builders
• Good eye for clean and modern website design
• Ability to write clear prompts
• Attention to detail
• Basic English communication skills
• Reliability and willingness to learn

AI tools may include:

ChatGPT, Claude, Lovable, Bolt, Framer AI, Webflow AI, Durable, Canva AI, WordPress AI tools, or similar.

To apply, please send:

• Your CV
• Examples of AI-generated websites you created
• A short list of AI tools you use
• Your expected monthly salary

Streamline is a supply chain planning platform, and AI agents are central to where we’re headed. We’re building toward a product that doesn’t just surface recommendations but can increasingly act on them — and the agents our users interact with are at the center of that.

We’re growing toward agents that take on more responsibility over time — moving step by step from co-pilot toward genuinely autonomous behavior. That progression is the core of the problem you’d be working on.

We’re looking for an AI Engineer to help us build it. You’ll work on the agents our users interact with — improving the ones we already have and building new ones — on top of an infrastructure and architecture that’s already in place, which you’ll also help extend and build out.

This is a hands-on role for someone who likes shipping. We’re not after a researcher or a model trainer; we want a strong, product-minded engineer who can take a problem, figure out the right AI approach, and deliver it well. You’ll have real ownership of what you build, and plenty of room to grow as our AI capabilities (and team) expand.

What you’ll do:

• Build and ship in-product AI agents — extending our multi-agent AI Assistant and creating new agents for new use cases
• Work on the progression from co-pilot to autonomy — building agents that take on more responsibility over time, from assisting the user toward handling tasks on their own
• Extend and improve the AI infrastructure — orchestration, context management, tool integrations, retrieval, and evaluation
• Maintain and improve existing AI features
• Set up and improve CI/CD and testing for our AI systems
• Help shape the processes and workflows around how we build and run AI — together with the wider team
• Work closely with the product team on the AI roadmap, bringing ideas for where AI can add the most value

• Keep an eye on a fast-moving field and bring in new tools and techniques where they help

   

Requirements:

• Solid software engineering skills, comfortable working in Python
• Hands-on experience building LLM-powered applications or agents (production experience is a big plus)
• Familiarity with agent frameworks and orchestration (ADK, LangGraph, LangChain, CrewAI, or similar)
• A working understanding of the building blocks of modern AI apps: prompting, tool/function calling, RAG, vector stores, context management
• A sense for how to evaluate whether an AI feature actually works, not just whether it runs
• Comfort with the practical side of shipping: testing, CI/CD, deployment, and being mindful of cost and latency
• A product-oriented mindset — you think about the user and the outcome

• Initiative and ownership — you can take something from idea to shipped without needing to be told every step

   

Nice to have:

• Familiarity with multiple LLM providers (Anthropic, Google, OpenAI)
• Experience steering and configuring agents through instruction/context files (e.g., CLAUDE.md, AGENTS.md)
• A grasp of agent skills and the ability to design and build them
• Experience with agent platforms for building and running multi-agent infrastructure (e.g., OpenClaw or similar)
• Experience with LLMOps / observability tooling (e.g., LangSmith, Langfuse, or similar)
• C++ — our product core is written in C++, so the ability to work with it directly is a real plus
• PostgreSQL (or any relational DB) — schema design, queries, indexing basics
• Docker basics — build and run a container, read a Dockerfile

• Experience in a product / SaaS environment

   

We Offer:

• Medical insurance.
• Friendly and supportive team environment.
• Opportunities for professional and career growth.
• Access to AI-powered tools to enhance productivity and daily work.
• Involvement in a fast-growing project.
• Paid lunch, corporate and team-building events.

Ми шукаємо AI Engineer, який підсилить нашу команду розробки штучного інтелекту. Це роль не про "просте підключення APІ чи поверхеневий інжиніринг запитів", а про глибоку інженерну й системну рооту на інтеграцію LLM, розробкою аріхектурних даних.
Якщо ти зацікавлений у даній позиції, читай нижче опис по вимогам/задачам, та якщо ти відповідаєш вимогам, залишай резюме!

Вимоги до досвіду:

• досвід комерційної розробки: не менше 3 років;
  Інструменти та технології: Python, REST API, OpenAPI/Swagger, JSON, Docker, PostgreSQL/MongoDB, Redis, CI/CD;
   
• впевнене володіння Python як основною мовою розробки;
  Необхідна екосистема Python: Python 3.10+, FastAPI, Flask (як плюс), Pydantic, Pydantic AI, asyncio, aiohttp/httpx, requests, SQLAlchemy, Alembic, Celery/RQ, pytest, unittest, mypy, ruff, black, isort, pre-commit, logging, structlog, pathlib, typing, dataclasses;
   
• досвід розробки backend-сервісів, API та інтеграцій;
  Інструменти та технології: FastAPI, REST API, WebSockets, SSE, OpenAPI/Swagger, Postman, JSON Schema, PostgreSQL, Redis, SQLAlchemy, Docker, docker-compose, GitHub Actions/GitLab CI;
   
• обов'язкове вміння самостійно писати чистий, підтримуваний та архітектурно коректний код без використання додаткових ШІ-інструментів (AI tools);
  Необхідні знання: OOP (ООП), SOLID, DRY, KISS, YAGNI, dependency injection, clean architecture, layered architecture, design patterns, error handling, logging, unit/integration testing, code review;
   
• досвід роботи з Docker та базовою інфраструктурою розгортання;
  Інструменти та технології: Docker, Docker Compose, Dockerfile, volumes, networks, multi-stage builds, environment variables, secrets, logs;
   
• досвід розробки ШІ-продуктів (AI products) на базі пропрієтарних моделей;
  Інструменти та технології: OpenAI API, Anthropic Claude API, Google Gemini API, OpenRouter, LiteLLM;
   
• досвід розробки ШІ-продуктів на базі local-hosted моделей;
  Інструменти та технології: vLLM, Ollama, llama.cpp, Text Generation Inference, Hugging Face Transformers, Hugging Face Hub, sentence-transformers, PyTorch, tokenizers, GGUF, AWQ, GPTQ, quantization, batching, streaming inference;
   

• досвід роботи з vLLM / llama-серверами та налаштуванням параметрів інференсу;
  Необхідні знання: context window, max tokens, temperature, top_p, top_k, repetition penalty, stop sequences, seed, batch size, concurrency, latency, throughput, tokens/sec, GPU memory, KV cache, cost per request;

  Інструменти: vLLM, Ollama, llama.cpp, TGI, Prometheus/Grafana (як плюс);
   

• досвід підбору моделей під робочі завдання;
  Необхідні знання: порівняння моделей за якістю, вартістю, latency, context window, multilingual quality, tool calling, structured output, safety, hallucination rate;
  Інструменти: OpenRouter, LiteLLM, Hugging Face Leaderboards, LMSYS/Chatbot Arena (як орієнтир), Langfuse, LangSmith, PromptFoo, DeepEval, Ragas;
   
• досвід роботи з vector RAG;
  Інструменти та технології: LangChain, LangGraph, LlamaIndex, Haystack, Qdrant, Weaviate, Pinecone, Chroma, FAISS, pgvector, Elasticsearch/OpenSearch, BM25, hybrid search, re-ranking;
  Необхідні знання: chunking strategy, embeddings, metadata filtering, query rewriting, retrieval evaluation, rerankers, grounding, citations, hallucination control;
   
• досвід роботи з graph RAG / knowledge graph RAG;
  Інструменти та технології: Neo4j, NetworkX, GraphRAG, LangChain Graph QA, LlamaIndex Knowledge Graph, RDF/SPARQL (як плюс);
  Необхідні знання: entity extraction, relationship extraction, graph traversal, semantic links, hybrid retrieval, context assembly;
   
• досвід побудови агентних систем;
  Інструменти та технології: LangGraph, LangChain Agents, LlamaIndex Agents, CrewAI, AutoGen, Semantic Kernel, Pydantic AI, OpenAI function calling / tool calling, Anthropic tool use, MCP;
  Необхідні знання: ReAct, planner-executor, supervisor pattern, multi-agent orchestration, memory, tool routing, state management, fallback logic, human-in-the-loop, guardrails;
   
• досвід роботи з AI workflow engine, обов'язково n8n;
  Інструменти та технології: n8n, webhook nodes, HTTP Request node, AI Agent node, credentials, triggers, queues, error workflows, custom nodes, workflow versioning;
   
• досвід побудови evaluation та observability для LLM-продуктів;
  Інструменти та технології: Langfuse, LangSmith, PromptFoo, Ragas, DeepEval, TruLens, Arize Phoenix, Weights & Biases Weave, Helicone, OpenTelemetry;
  Метрики: accuracy, groundedness, relevance, faithfulness, hallucination rate, refusal rate, latency, cost per request, token usage, context utilization, regression rate;
   
• розуміння інформаційної безпеки при роботі з ШІ;
  Необхідні знання: PII, sensitive data, prompt injection, data leakage, secrets management, RBAC, audit logs, sandboxing tools, vendor data policies;
   
• англійська мова: Не нижче Upper-Intermediate. Необхідна для читання документації, роботи з API, аналізу моделей, технічного листування та підготовки design docs.
   

Буде плюсом:

• знання Node.js;
• глибокі знання context engineering;
• глибокі знання NLP;
• досвід fine-tuning моделей.

Основні задачі:

• розробляти production-ready ШІ-сервіси, backend-компоненти, API та інтеграції для внутрішніх і зовнішніх ШІ-продуктів компанії;
• писати чистий, підтримуваний, тестований та архітурно коректний код на Python;
• проєктувати та реалізовувати сервіси на Python/FastAPI для роботи з LLM, RAG, агентними системами та workflow-автоматизацією;
• інтегрувати пропрієтарні моделі через API: OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, Mistral, OpenRouter та інші затверджені компанією сервіси;
• піднімати, налаштовувати та підтримувати local-hosted моделі через vLLM, Ollama, llama.cpp, TGI або аналогічні інструменти;
• підбирати моделі під конкретні бізнес-завдання з урахуванням якості, швидкості, вартості, latency, context window, доступності, безпеки та стабільності результату;
• налаштовувати параметри інференсу моделей: temperature, top_p, max tokens, context window, batching, streaming, concurrency, rate limits, retry logic;
• реалізовувати vector RAG-пайплайни: завантаження даних, очищення, chunking, embeddings, індексація, retrieval, reranking, генерація відповіді, оцінка якості;
• реалізовувати graph RAG / knowledge graph RAG-підходи для завдань, де потрібна робота зі зв'язками між сутностями, документами, користувачами, договорами, клієнтами або бізнес-процесами;
• работувати з векторними базами даних: Qdrant, Weaviate, Pinecone, Chroma, FAISS, pgvector;
• работувати з графовими базами та інструментами: Neo4j, NetworkX, GraphRAG-підходи;
• будувати агентні системи: single-agent, multi-agent, planner-executor, supervisor, tool-using agents, human-in-the-loop flows;
• реалізовувати tool/function calling, structured outputs, JSON schema validation, retry/fallback logic та безпечну обробку відповідей моделей;
• інтегрувати агентні системи з корпоративними інструментами: CRM, бази знань, документи, пошта, календар, Slack/Teams, Jira, Confluence, Google Drive, Microsoft 365, внутрішні API;
• проєктувати та впроваджувати AI workflow automation на базі n8n: webhooks, triggers, AI Agent nodes, HTTP nodes, credentials, error workflows, черги, інтеграції з зовнішніми системами;
• розробляти eval/regression-фреймворки для перевірки якості LLM-відповідей, промптів, RAG та агентних сценаріїв;
  налаштовувати observability та моніторинг ШІ-систем: Langfuse, LangSmith, PromptFoo, Ragas, DeepEval, Arize Phoenix, Helicone, OpenTelemetry;
• контролювати ключові метрики: latency, cost per request, token usage, groundedness, hallucination rate, relevance, accuracy, refusal rate, error rate, regression rate;
  проводити технічні експерименти з моделями, промптами, RAG-підходами, агентними патернами та параметрами інференсу;
• брати участь у завданнях з fine-tuning / model adaptation за наявності потреби: підготовка датасетів, навчання, валідація, порівняння результатів з baseline;
• спільно з Prompt Spec Engineer впроваджувати prompt/spec architecture в код, забезпечувати версіонування промптів, трасування, тестування та контроль якості;
• спільно з Product Manager переводити продуктові вимоги в технічну архітектуру, API-контракти, схеми даних та план реалізації;
• забезпечувати безпеку ШІ-сервісів: захист від prompt injection, контроль доступу, фільтрація чутливих даних, логування, аудит, безпечне зберігання секретів;
• підтримувати сервіси в production: аналізувати інциденти, виправляти помилки, оптимізувати продуктивність, знижувати вартість запитів, покращувати стабільність.

Що компанія пропонує:

• працюємо в сучасному та стильному офіс в ближньому центрі;
• безкоштовний корпоративний трансфер (дім-офіс-дім);
• забезпечуємо якісним та смачним кейтерингом прямо в офісі;
• корпоративні заняття йогою та медитацією + корпоративні знижки на здорове харчування;
• WELCOME bonus - фінансовий бонус від компанії на початку співпраці;
• релокейт пакет (оплата квитків у Львів + перший та останній місяць + рієлторські послуги).

We are looking for a Senior ML Computer Vision Engineer to join our team!

Our client is an innovative technology division within one of the world's top-10 copper producers. You'll play a pivotal role in their expanding Computer Vision and AI ambitions. While the initial focus involves advanced asset management, the team is embarking on a long-term journey to leverage traditional machine learning, artificial intelligence, and predictive maintenance across their global operations.

Working closely with a newly appointed Computer Vision Subject Matter Expert (SME) and cross-functional data and integration teams, you will drive research and development initiatives from proof-of-concept through to production. Your work will directly shape how the organisation utilizes visual and operational data, eventually integrating these cutting-edge AI capabilities into the core asset management scope and broader operational ecosystem.

Responsibilities:

• Partner with the Computer Vision SME to drive R&D initiatives, exploring new applications for AI, CV, and traditional machine learning within heavy industry.
• Design, develop, and deploy Computer Vision models (e.g., object detection, image classification, segmentation) and traditional ML algorithms for predictive maintenance and asset monitoring.
• Translate business requirements and R&D concepts into scalable, production-ready machine learning pipelines.
• Collaborate with Data Engineers and Analytics Engineers to ensure seamless ingestion, transformation, and availability of visual, sensor, and operational data.
• Work alongside Integration Engineers to embed AI/ML capabilities and model outputs into existing enterprise applications and asset management systems.
• Implement MLOps best practices for model training, versioning, deployment, monitoring, and lifecycle management within an Azure-centric environment.
• Evaluate and select appropriate algorithms, frameworks, and cloud-native AI tools to meet evolving business and performance needs.
• Prepare comprehensive technical documentation, model architectures, and performance reports for technical and non-technical stakeholders.

Requirements:

• 5+ years of hands-on experience as a Machine Learning Engineer, Computer Vision Engineer, or AI Researcher in a software development environment.
• Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Proven experience building and deploying Computer Vision solutions (e.g., using OpenCV, YOLO, ResNet) in real-world scenarios.
• Solid foundation in traditional machine learning techniques (e.g., scikit-learn, XGBoost) and statistical data analysis, particularly for predictive maintenance or time-series forecasting.
• Experience with cloud-based ML platforms and MLOps practices, preferably utilizing Azure Machine Learning, Databricks, or similar enterprise environments.
• Familiarity with data manipulation and analysis libraries (Pandas, NumPy) and working with large, diverse datasets (images, video streams, sensor data).
• Strong analytical and problem-solving skills, with a track record of transitioning models from R&D phases into production scale.
• Excellent communication skills, with the ability to collaborate effectively with SMEs, data engineering teams, and business leadership.
• Master’s degree or PhD in Computer Science, Artificial Intelligence, Data Science, or a related highly quantitative field (or equivalent applied experience).

Nice to have:

• Background in mining, heavy industry, or manufacturing environments, particularly working with OT (Operational Technology) or IoT sensor data.
• Experience processing and analyzing geospatial data, drone imagery, or edge-computing AI deployments.
• Familiarity with Azure Data Factory, Azure Synapse, or Azure Integration Services to better align with the broader data platform team.

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

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

About the Role

The company is seeking a Creative AI Specialist with strong motivation, curiosity, and a passion for learning. This role is ideal for someone early in their career who wants to grow at the intersection of design, marketing, AI, and product. This position focuses on creating assets that perform, learning fast, and becoming part of a team building next-generation creative workflows. You will design and generate CRM and marketing creatives using a combination of traditional design tools and emerging AI workflows, working closely with Customer Success, Product, internal teams, and clients to test, iterate, and improve creative and product performance. This is a client-facing role requiring excellent English communication skills and availability to work during US time zone hours.

Responsibilities

• Create email and CRM assets at scale
• Design visuals for social media and lifecycle campaigns
• Learn and apply AI-driven creative workflows, including prompting, iteration, and automation
• Use tools like ComfyUI and other AI platforms to generate and refine visual content
• Support A/B testing processes and optimize creatives based on performance data
• Translate briefs into clear, compelling visual solutions
• Communicate directly with clients to understand briefs, gather feedback, clarify requirements, and support creative execution
• Participate in client-facing workflows, including creative reviews, iteration cycles, and campaign-related discussions
• Collaborate closely with Customer Success, Product, and internal teams to improve creative and product performance
• Operate effectively during US time zone working hours to support client needs and internal collaboration
• Balance speed and quality in a fast-paced environment

• Continuously learn new tools, workflows, and product capabilities

   

Requirements

• 3–5 years of experience in graphic design, marketing design, or creative roles — or exceptional junior talent with a strong portfolio
• High-level English, both written and spoken
• Strong client-facing communication skills and comfort working directly with customers
• Ability to manage feedback, clarify requirements, and communicate creative decisions professionally
• Availability to work during US time zone hours
• Strong motivation to grow in the worlds of AI, product, and performance marketing
• Curiosity and eagerness to learn new tools quickly
• A proactive, hands-on startup mentality
• High level of visual taste and attention to detail
• Ability to move fast, adapt, and solve problems independently
• Data-driven mindset — you care about outcomes, not just aesthetics
• Strong communication skills and ability to work with clients and cross-functional teams
• Background in advertising or performance marketing — an advantage

• Prior experience with AI tools — a plus, but not required

   

About the Company

The company is a fast-growing technology company building AI-powered solutions for marketing and customer engagement. Its platform helps brands create, optimize, and scale personalized creative content across lifecycle and CRM channels using modern AI workflows and data-driven processes. The company operates at the intersection of creativity, performance marketing, and product technology, working with international clients and rapidly evolving tools.