Jobs ML / AI

Description:
We are seeking a GenAl Developer with a strong background in Large Language Models (LLM) and GenAI engineering. This is a unique opportunity to work with Deloitte US clients and engage in global projects, leveraging your extensive skills in generative Al tools. As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative
projects
 

Requirements:

• Minimum of 3 years of experience as a Back End developer.
• Strong proficiency in Python and experience with microservices architectures.
• Familiarity with orchestration frameworks (langchain, langgraph, crewai, autogen etc) and API integrations.
• Knowledge of Backend Frameworks such as Node.js and Django.
• Knowledge of APIs such as JSON and REST
• Good understanding of AI protocols and standards.
• Degree in Computer Science, Artificial Intelligence, Machine Learning or a related field
• Excellent problem-solving and analytical skills.
• Experience working on global teams collaborating via tools such as Jira, Teams, ADO.
• Advanced level of English.

Responsibilities:

• Implement effective and scalable Python code.
• Develop and implement GenAI applications including
• Large Language Models (LLM).
• Utilize GenAl engineering tools such as LangChain, RAG, Vector Database for implementation and optimization.
• Stay updated with Al protocols and standards and ensure their correct application in projects.
• Collaborate with other team members to understand requirements and develop solutions.
• Analyze complex problems, identify and define the computational requirements to solve them.

Inforce is a Software Development Company that provides a full range of top-quality IT services. Our mission is to develop first-class applications and Websites to provide our clients with the best solutions for maximizing their profits and converting their ideas into reality.

We’re launching a new AI direction and are looking for a Junior AI Automation Engineer who’s deeply passionate about AI, loves learning new tools, and wants to grow fast in the field of intelligent automation.

You’ll work on real AI-driven products - not research - building AI assistants, automation agents, and copilots that connect to real systems like CRMs, Gmail, Slack and many others!

Responsibilities:

• Build and test AI agents using LangChain / CrewAI / OpenAI API/ (Gemini API, Grok, DeepSeek, Claude)
• Design automation flows and integrate LLMs with external tools (HubSpot, Notion, Google Workspace, etc.)
• Work with data retrieval, embeddings, and SQL database (MySQL / MariaDB / PostgreSQL / SQLite)
• Collaborate with backend and frontend teams to bring AI features into production
• Communicate with project managers and sometimes directly with clients to understand automation goals and present results
• Constantly research new AI frameworks, APIs, and techniques to improve project outcomes
   

Required skills:

• 0–2 years of experience with Python or Node.js
• Understanding of REST APIs, async programming, and data structures (threading, errors handling and logging)
• Huge curiosity for AI, LLMs, and automation technologies — willingness to experiment, read docs, and self-learn daily
• English — Intermediate+ (comfortable discussing tasks or demos with clients)
• Strong problem-solving mindset and responsibility for delivering working solutions
   

Will be a plus

• Hands-on experience with LangChain, LlamaIndex, CrewAI, or OpenAI API
• Knowledge of vector databases (Pinecone, Weaviate, PGVector)
• Workflow automations (Zapier, Make, etc.)
• Any experience building bots, scripts and service integrations
• Familiarity with Git, Docker, or cloud environments
• Experience work with playwright / selenium, etc.
   

We offer:

• Real commercial AI projects with international clients
• Direct mentorship from senior engineers
• Opportunity to grow into AI Engineer / LLM Engineer within months
• Open, supportive culture and strong engineering community
• Flexible schedule and result-oriented environment

Requirements:

• Experience with Transformer models: BERT, RoBERTa, GPT, T5, LLaMA, Mistral, Falcon, etc.
• Strong knowledge of Python; experience with PyTorch, TensorFlow, and Hugging Face Transformers.
• Understanding of modern LLM architectures and fine-tuning techniques: LoRA, PEFT, Instruction Tuning, RAG.
• Experience with NLP tasks: classification, text generation, machine translation, QA systems, etc.
• Familiarity with evaluation metrics: accuracy, F1, BLEU, perplexity, ROUGE, etc.
• Basic knowledge of statistics and classical machine learning.
• Experience with MLflow, DVC, or similar tools.
• Experience with model containerization (Docker).
• Understanding of CI/CD principles in ML projects.
• Skills in model deployment using FastAPI / Flask / TorchServe / Triton.
• Experience with cloud infrastructure (AWS, GCP, Azure, or local cloud providers).

• Bonus: experience with Kubernetes, Airflow, Kubeflow, Ray.

   

Responsibilities:

• Selecting and configuring modern Transformer/LLM models for company-specific tasks.

Fine-tuning, LoRA tuning, model distillation, and quantization.

• Preparing and processing datasets (including augmentation).
• Deploying models to production and automating pipelines (data → training → inference).
• Monitoring model performance in production, retraining, and optimization.
• Collaborating with Data Engineers and DevOps to build the MLOps infrastructure.

• Evaluating model performance using various metrics and analyzing results to identify areas for improvement and optimization.

   

We offer you:

• Having the capability to create something new and witness your own input.
• You can find confidence in the future here, but rest assured it won't be dull. 
• Join a dynamic and expanding community. Our company is experiencing growth and expanding into Europe. Currently, we have offices in Kyiv, and Warsaw and plan to open additional locations in other countries. 
• Full-time employment contract.
• Multisport (light). 
• Paid vacation, sick leave.

Interested in joining our team? We invite you to submit your CV.

<By submitting your CV to LLC “GigaCloud”, EDRPOU code [39792589] (hereinafter referred to as the “Company”), in response to our vacancy, you consent to the processing of your personal data contained in the CV by the Company in accordance with the Law of Ukraine “On Personal Data Protection”, ISO 27701 Information Privacy Management System, and the provisions of the GDPR>.

Your expertise:

• High personal interest and self-development in AI / ML
• Experience in creating Production services as an ML Engineer
• Experience with Data Science and Quantitative Analysis activities.

Will definitely be a plus:

• Experience with AI / ML services for marketing and sales: product recommendation, retention, customer segmentation, personalization, or others
• High personal interest in Quant, algorithmic strategies, Finance, DeFi
• Experience with creating and supporting algorithmic strategies, including their risk management
• Experience in systematically monitoring and evaluating the performance of AI/ML solutions with a set of KPIs
• Experience with Agentic AI: multi-agent systems, complex prompt engineering, LLM finetuning
• Experience with documenting solution architecture and experiment reports
• Experience with Research & Development projects
• Experience in AI / ML startups or personal pet projects

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into:

• Perform extensive ML and Data Science research for new AI / ML solutions
• Develop new AI / ML solutions and participate in the architecture definition
• Support and upgrade current AI / ML solutions used in Production

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today, Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 16 million customers and 19 million domains under management — and we’re just getting started.

Our culture is built on the values that we live every day: the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.

Namecheap has been on the market for 25+ years and is the 2nd largest domain registry in the world. We are the Namecheap Machine Learning Team.

The team prototypes and develops innovative systems with AI and Machine Learning. At the moment, there are more than 10 Production systems in the areas of Emails, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of global market leaders.

The team provides all the conditions for active professional growth. The culture combines the best from enterprises and startups: a high level of professionalism, truly innovative technologies, friendliness, and stability.

Skylum allows millions of photographers to make incredible images. Our award-winning software automates photo editing with the power of AI yet leaves all the creative control in the hands of the artist.

Join us on our mission to make photo editing enjoyable, easy, and accessible to anyone. You’ll be developing products with innovative technologies, providing value and inspiration for customers, and getting inspired in return.

Thanks to our incredible team of experts, we’ve built a collaborative space where you can constantly develop and grow in a supportive way. At the same time, we believe in the freedom to be creative. Our work schedule is flexible, and we trust you to give your best while we provide you with everything you need to make work hassle-free. Skylum is proud to be a Ukrainian company, and we stand with Ukraine not only with words but with actions. We regularly donate to various organizations to help speed up the Ukrainian victory.

Role Mission: 

We are looking for a strong Machine Learning Engineer who can build and improve ML models used in our product. Most of the tasks are related to computer vision and image processing. You will work on both common tasks like segmentation, detection, and classification, as well as more complex problems involving Diffusion Models, LLMs, VLMs, and other custom tasks without ready-made solutions.

You should be able to work independently, move fast, and quickly test new ideas.

What You Will Do

• Build and improve ML models, mostly for computer vision tasks.
• Handle the full ML process: collect and prepare data, train and test models, and improve them step by step.
• Work on both standard and new types of problems.
• Create fast prototypes and help turn successful ones into real products.
• Work closely with other teams to bring your models into the product.

What We’re Looking For

• 3+ years of real-world experience with ML, including at least 2 years in computer vision.
• Good understanding of how to build ML systems from start to finish.
• Hands-on experience with one or more of these: object detection, segmentation, img2img, generative networks.
• Ability to read, understand, and implement ideas from cutting-edge research papers. You stay current with top conferences (e.g., CVPR, NeurIPS, ICCV) and can turn academic innovations into practical solutions.
• Strong skills in Python and PyTorch.
• Experience optimizing models for efficient inference on local devices (CPU, GPU, NPU), including quantization, pruning, and runtime adaptation.
• Able to work with and explore large datasets.
• Comfortable working on your own and taking full responsibility for your tasks. Experience with prototyping and working in an R&D cycle.

Nice to Have

• Experience in research (PhD, papers, or personal projects).
• Experience training or fine-tuning foundational models (LLMs, VLMs).
• Experience training or fine-tuning diffusion models for specific image generation or enhancement tasks.
• Familiarity with classical image processing techniques.
• Experience with deep learning inference frameworks like ONNX Runtime, OpenVINO, Core ML, or others.
• Strong C++ skills, close to your Python level.
• Enjoy building and testing product ideas quickly.

What we offer:

For personal growth:

• A chance to work with a strong team and a unique opportunity to make substantial contributions to our award-winning photo editing tools;
• An educational allowance to ensure that your skills stay sharp;
• English and German classes to strengthen your capabilities and widen your knowledge.

For comfort:

• A great environment where you’ll work with true professionals and amazing colleagues whom you’ll call friends quickly;
• The choice of working remotely or in our office space located on Podil, equipped with everything you might need for productive and comfortable work.

For health:

• Medical insurance;
• Twenty-one days of paid sick leave per year;
• Healthy fruit snacks full of vitamins to keep you energized.

For leisure:

• Twenty-one days of paid vacation per year;
• Fun times at our frequent team-building activities.

If you are looking forward to working with true professionals and simply amazing people & product — we are waiting for your CV!

Our client is a company that is one of the prominent providers of unique online slot games based in Spain. We are looking for AI Platform Engineer to join our team building internal tools for automation and analytics in slot game development.

Required skills:

Must-have:

• 3+ years of experience in developing internal tools/automation.
• Python 3.10+, FastAPI, async/await, typing.
• SQL/PostgreSQL (schemas, indexes, window functions, materialized views).
• SaaS API integrations (Atlassian preferred), webhooks, error handling.
• Docker (multi-stage builds, docker-compose), basic logging and monitoring.
• Hands-on experience with AI assistants (Copilot, Cursor, Claude Code) and a culture of code verification.

Responsibilities:

• Build integrations with Jira, Confluence, Slack: REST API, webhooks, OAuth2; normalize and load data into PostgreSQL.
• Create dashboards (onboarding, lead time/throughput, workload, overdue tasks, AI automation impact) in Metabase/Superset or lightweight React panels.
• Develop small backend services: FastAPI endpoints, schedulers, alerts; handle rate limits, retries, and idempotency.
• Support the ML team: prepare datasets for RAG/vector search, collect telemetry on AI feature usage.
• Use AI assistants (Copilot, Cursor, Claude Code) for prototyping, refactoring, and test generation — always with proper verification.

• Write short documentation (README, ADR) together with tech/UX writers.

   

Сompanу offer:

• Work on impactful internal tools that directly improve team efficiency.
• Opportunity to actively use AI assistants and be at the forefront of AI-driven development.
• Modern tech stack.
• Flexible schedule and remote-first culture.

The Role

We’re looking for a Senior ML Research Engineer to lead the design, implementation, and optimization of large-scale models powering intelligent agents. Your role spans model architecture, shipping, and production monitoring.

Key Responsibilities

• Conduct cutting-edge research on agentic AI systems — exploring new methods in reasoning, memory, planning, and multi-agent collaboration — and translate findings into production-ready prototypes.
• Design, fine-tune, and evaluate large language models and neural networks for modular agent behavior
• Build robust ML pipelines (data ingestion, feature engineering, model training, serving, monitoring) 
• Implement evaluation frameworks, A/B testing, and performance metrics to quantify agent effectiveness
• Ensure reproducibility, traceability, and compliance across ML lifecycle
• Collaborate with backend engineers to define inference service SLAs and efficient real-time ML delivery
• Mentor junior ML teammates and establish team-level best practices

Requirements

• 5+ years as an ML Engineer or applied ML researcher with production model deployment experience
• Strong Python skills, experience with ML frameworks (TensorFlow, PyTorch) and LLM tooling (HuggingFace)
• Familiarity with data pipelines, SQL, cloud platforms (AWS)
• Solid understanding of model evaluation, A/B testing, and ML performance metrics
• Excellent collaboration skills with product, backend, and data teams

Nice to Haves

• Prior work with conversational agents, retrieval-augmented generation, or multi-model orchestration
• Experience with vector search stacks (e.g. Pinecone, FAISS)
• Reinforcement Learning experience
• Startup experience and ability to navigate ambiguity and shape technical direction

Why You Should Join

• Competitive equity & pay - get in early and own what you build.
• Work closely with experienced founders with a proven startup track record.
• Move fast, ship fast - no corporate bureaucracy.
• Shape the AI revolution in healthcare - massive market, untapped potential

GD Next is a European group of companies headquartered in Switzerland, specialising in KYC, Fraud prevention, financial messaging, and Open Banking solutions. We integrate innovative, modern technologies into the traditional financial sector to strengthen digital banking and enhance the customer experience. By combining proven, market-validated technologies with the expertise of our team and trusted partners across Europe, we deliver real and tangible value to our clients.

We’re looking for a curious and motivated Junior AI/ML Engineer to join our team in building a document analysis and transaction classification system. 

This is a great opportunity to work on real-world financial text data, gain hands-on experience with machine learning algorithms, and start working with Large Language Models (LLMs) under the guidance of more experienced team members. You will also develop and maintain classic applications and APIs that serve your ML results to other systems. 

It’s a good chance to grow your machine learning skills, especially across classic algorithms (Decision Trees, Naive Bayes, etc.) and to gain exposure in training state-of-the-art Large Language Models (LLMs). 

Key Responsibilities: 

• Develop and optimize machine learning models (e.g., Decision Trees, Naive Bayes, Logistic Regression) for transaction purpose classification. 

• Fine-tune large-language models 

• Design and implement robust data preprocessing pipelines to handle real-world financial text data. 

• Evaluate model performance using various metrics and present findings to both technical and non-technical stakeholders. 

• Collaborate with cross-functional teams to integrate your API with existing financial systems and data pipelines. 

• Stay up to date with emerging AI/ML and LLM technologies, demonstrating a basic understanding of data preparation, fine-tuning, and training processes for language models. 

• Document your designs, experiments, and REST API specifications, including clear versioning information for smooth collaboration. 

Qualifications: 

• Bachelor's degree or equivalent experience in Computer Science, Data Science, or a related field. Third-grade students would also be considered.

• Foundational experience with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch) and understanding of classic classification algorithms. 

• Proficiency in at least one programming language (Python, Java, or similar) and familiarity with RESTful API development (e.g., Flask, FastAPI, Spring Boot). 

• Knowledge of software development lifecycle, including coding standards, code reviews, source control (Git), and unit testing. 

• Eagerness to learn and apply new techniques, especially around LLM fine-tuning and pipeline integration. 

• Strong analytical and problem-solving skills with attention to detail.

• Basic knowledge of cloud platforms (AWS, Azure, or GCP) is a plus. 

We will give you an opportunity to enjoy your work by:

• Exposure to the company's technology stack and mastery of the latest technologies.
• A modern MacBook Pro and tech setup that suits your role.
• Flexible working hours and up to 100% remote work possibilities.
• Friendly and supportive team.
• An opportunity to drive innovation, develop career paths for the team, and make a meaningful impact on our company's growth.

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.
 

What is your Day to Day Mission:

• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance

• Research and apply state-of-the-art deep learning methods in computer vision

   

What you bring to the team:

• 3+ years of experience in AI/ML, with a strong focus on computer vision
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus

• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

   

 Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies

• Understanding of object re-identification or multi-target tracking

   

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

Hi!

Thank you for taking some time to look at our requisition. We are a US-based company working on an AI product in the entertainment space. Our app is geared towards children and we are working with major film companies.

We have a strong, distributed team, mostly in Europe. We're looking for an experienced person to help use with MLOps.

Core MLOps Responsibilities:

• Model Deployment: Convert ComfyUI workflows to production Python pipelines
• Infrastructure Management: Multi-provider GPU orchestration (RunPod + future providers)
• CI/CD for ML: Automated model deployment and rollback systems
• Monitoring & Observability: Pipeline performance, model drift, and system health
• Scalability: Serverless GPU management and load balancing
• Model Lifecycle: Version control, and hot-swapping of LoRAs

AI/ML Pipeline (Critical):

• Deep experience with Diffusion models (Stable Diffusion, Flux)
• Hands-on ComfyUI to Python conversion experience
• Computer vision libraries: OpenCV, PIL, torchvision
• Model inference optimization (batching, memory management)
• Experience with diffuser library
• Experience with ControlNets, LoRA, and inpainting workflows
• Experience with GroundingDINO, SAM

Backend Development:

• FastAPI/Python (mid/senior level)
• Async programming and queue management
• PostgreSQL/AlloyDb
• RESTful API design with proper error handling

DevOps/Infrastructure:

• Docker containerization
• Google Cloud Platform (GCS, Cloud Run, CloudBuild)
• Git Actions
• CI/CD pipeline setup
• GPU Providers Platform (RunPod nice to have)

GPU/Serverless:

• RunPod API integration (preferred) or other GPU providers
• GPU memory optimization
• Cold start minimization strategies
• Multi-provider orchestration patterns

Monitoring & Observability:

• Custom metrics for ML pipelines
• Performance monitoring and alerting
• Integration with data warehouse systems

Nice-to-Have:

• Previous work with content generation platforms
• Experience with model serving frameworks (TorchServe, TensorRT)
• Experience with training/fine-tuning image generation models (e.g, Stable Diffusion, Flux with LoRA)

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.

Skills requirements:
• 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;

Key responsibilities:
• 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 offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Вітаю тебе, фахівець \0/

Мене звати Кирил, я допомагаю зібрати дрім тім для своїх друзів з Hooh – це стартап від фаундерів Depositphotos. Команда сіньорна та досвідчена, тому опортʼюніті, ІМХО, дуже кльове.

отже

Hooh – це b2c AI-продукт, який робить складні документи простими для розуміння та дій. 

Він дозволяє завантажувати файли (PDF, фото, скани), автоматично розпізнавати їхній вміст, витягувати ключову інформацію та отримувати короткі, зрозумілі підсумки.
 

Ми успішно випустили v1, підтвердивши нашу основну AI-пайплайн-архітектуру. Зараз ми розширюємо продукт до “scanner-grade” PDF-досвіду, що поєднує глибоке AI-розуміння з надійним редагуванням документів.

Далі дозволю собі перемкнутись на англійську, бо мова піде про конкретні речі.
 

_________________

CEO about the role: “We are looking for an Applied AI Engineer who will help us make messy documents reliably understandable, build accurate structure and entity extraction, strong retrieval, and cost‑efficient model orchestration."

Key Responsibilities

• Document analysis & taxonomy: Systematically analyze layouts/sections/entities/relations; define categories, types, and metadata schemas that generalize across domains.
• Prompting & schemas: Author, version, and maintain prompts/chains for classification, extraction, summarization, and Q&A; enforce JSON/JSON‑Schema outputs.
• Retrieval (RAG): Build hybrid retrieval (embeddings + keyword + graph traversal); manage embedding generation, indexing, dedupe, and drift.
• Cascades & MoE: Architect model cascades (fast filters → experts → fallback LLMs) and MoE routing to balance quality/cost/latency.
• Agentic orchestration: Use CrewAI (or similar) to coordinate multi‑step pipelines; add caching/batching/streaming and robust retries.
• Result fusion: Combine outputs via reranking, voting, and confidence/consistency checks; add guardrails and safety rules.
• Evaluation & monitoring: Run LangSmith/Evals (or similar), define golden sets, automate regressions, track quality/cost/latency; canary and observe.
• Operate models locally/hosted: Work with vLLM/TGI/Ollama/llama.cpp as well as API models; apply quantization/LoRA when useful.
• Data stores: Use vector DBs plus graph and relational DBs to power retrieval and joins (e.g., Qdrant/Weaviate/Milvus/pgvector + Neo4j + PostgreSQL).

Required Skills & Experience

• Strong programming skills in Python; ability to write clear, tested, maintainable code.
• Experience building at least one LLM‑powered feature end‑to‑end (prototype → production), or equivalent open‑source/portfolio work.
• Hands‑on with RAG, vector embeddings, and evaluation (offline + online A/B, error analysis).
• Familiarity with model cascading/MoE concepts (or ability to learn quickly).
• Practical database skills: comfortable with SQL and with either graph or vector systems.
• Product mindset: bias to measure impact and iterate.

We hire for capability and learning speed. If you’re strong on fundamentals and can show work, we’d love to talk, even if you don’t check every box.
 

Nice to have:

• OCR/Document AI, ontology design, labeling workflows.
• LangSmith/Evals, LangChain/LlamaIndex; Ray/Airflow; GPU basics.
• Security & privacy for AI systems (PII handling, GDPR), prompt/response guardrails.

The Team

• CEO
• Product Manager
• Fullstack Engineering Lead
• Back End Dev
• Fullstack Dev 
• AI engineer
• User Acquisition Manager
• 2х Designers 
• 2x iOS Devs
  
   

What We Offer

• Challenging technical problems and the environment to solve them.
• Flexible schedule and fully remote work from anywhere with reliable overlap to CET.
• 18 paid vacation days, 8 no-paperwork sick days, and 11 public holidays per year.
• Minimal bureaucracy, no micromanagement, and swift decision-making.
• Direct influence on strategy and the ability to see your experiments ship fast.
• Be part of a team that previously built and scaled successful businesses.

Hiring Process:

1. Intro Call
2. Interview with CEO
3. Offer
    

Your expertise:

• High personal interest in quantitative and algorithmic approaches
• Knowledge in quantitative analysis, statistics, time-series analysis, ML modeling and forecasting for markets
• Experience from 2 years with Data Science activities, including data research and analysis, algorithmic strategy prototyping and backtesting
• Experience with creating and supporting algorithmic strategies, including their risk management
• Experience in systematically monitoring and evaluating the performance of algorithmic strategies with a set of KPIs

• Experience with SQL, Pandas / NumPy / SciPy, and backtesting frameworks

   

Will definitely be a plus:

• Experience with effectively managing delta-neutral and grid strategies
• Experience in the management of a portfolio of algorithmic strategies
• Experience with data science for Agentic AI and Machine Learning
• Experience in the DeFi, DeFAI, or market-making

• Good knowledge of Finance for markets

   

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity / paternity leave program

• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

   

You will be involved into:

• Lead Data Science activities for algorithmic strategies: data research and analysis, prototyping and backtesting, live strategy performance monitoring, designing data pipelines, designing and implementing risk management strategy
• Participate in the full lifecycle of algorithmic strategy development: ideation, data research, strategy design and prototyping, backtesting, implementation, and live monitoring
• Systematically monitor and analyze strategy performance metrics, research and generate hypotheses for improvement, and iteratively test hypotheses

• Define requirements for implementation by Developers of algorithmic strategies and their data pipelines

   

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap has been on the market for 20+ years and is the 2nd largest domain registry‬ in the world. We are the Namecheap Machine Learning Team.‬

The team prototypes and develops innovative systems with AI and Machine Learning.‬ Currently, there are more than 10 Production systems in the areas of Email, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of global‬ market leaders.‬

The team provides all the conditions for active professional growth. The culture combines‬ the best from enterprises and startups: a high level of professionalism, truly innovative‬ technologies, friendliness, and stability.‬

We are building a new development model where AI is not just a tool, but the core of the entire process. Our goal is to deliver products at high speed without compromising quality, using AI-first technologies such as GPT, Gemini, Claude, Replit AI, v0 by Vercel, Framer AI, Make, Bubble, and VibeOps.

As a Prompt Engineer, you will play a critical role in shaping how AI drives product creation. You will design, optimize, and manage prompts and workflows for large language models to generate high-quality prototypes, code, and automated processes. Your expertise will ensure that AI delivers precise, consistent, and production-ready results.

Key Responsibilities:

• Design, test, and optimize prompts for multiple use cases: UI generation, code creation, content writing, and automation flows.
• Build multi-step prompt chains and AI workflows (LangChain, LlamaIndex) for complex tasks.
• Configure and manage AI tools: GPT, Gemini, Claude, Cursor, Replit AI.
• Create templates and structured prompt frameworks for tools like v0, Framer AI, Base44, Relume.
• Collaborate with developers to integrate AI-generated outputs into production.
• Work with APIs and embed AI into development processes.
• Continuously analyze model outputs and improve accuracy and reliability.

Requirements:

• Hands-on experience with LLMs (OpenAI GPT, Anthropic Claude, Google Gemini).
• Strong understanding of AI-first development principles.
• Proven ability to craft effective prompts for coding, UI/UX, and content generation.
• Familiarity with AI tools: Replit AI, v0, Framer AI, Base44, Bubble, Make, n8n.
• Basic knowledge of web development (HTML, CSS, JS) or Python for integrations.
• English proficiency (Upper-Intermediate+).
• Bonus points for experience with LangChain, AI automation tools, CI/CD (Vercel, Netlify).

What We Offer:

• Work in an AI-first environment where innovation drives everything we do.
• Involvement in fast-paced projects with a KPI: full website development in 3 days.
• Flexible schedule and remote work options.
• Competitive salary + performance-based bonuses for achieving AI-first goals.
• Access to cutting-edge AI tools and the opportunity to experiment with next-gen technologies.
  
  Ready to shape the future of AI-driven development? Join us and be part of the team that builds products in days, not months.
  Apply now!

About

EdSpan is an innovative company in the EdTech space, building cutting-edge learning experiences for the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. We are currently working on three major projects:

AI tutoring experience — an innovative project that brings real-time interaction with a 3D animated assistant powered by LLM technology. This virtual tutor helps students navigate challenges, provides guidance, and enhances the learning journey in a playful and engaging way.

Tutorpeers – a peer-to-peer tutoring platform with a young teachers marketplace, event booking features and Zoom-like online sessions with additional interactive learning tools.

Spark Incubator – LMS-like system designed to teach kids entrepreneurship.

We have well-defined processes, trying to automate routine things, conduct code reviews, use CI and CD pipelines to validate and ship our code. We use the Agile approach with daily stand-ups, bi-weekly sprints, and other Scrum artifacts. We keep the number of meetings to a minimum so that engineers can focus on writing high-quality code and delivering cool features.

Who you are

We’re hiring our first AI/ML Engineer to lead the development of our AI agents, including prompting, the RAG and evaluation pipelines, potential fine-tuning. So, you’ll play a key role in shaping the technical direction. We’re seeking someone with a strong understanding of machine learning and NLP fundamentals, capable of tackling complex challenges in agentic workflows and optimizing model performance across the stack.

Requirements

• At least 4 years of experience in the field of Machine Learning, working as a Data Engineer, Data Scientist, Machine Learning Engineer, or in a similar role.
• Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience;
• Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn);
• In-depth knowledge of machine learning principles, understanding of LLM architectures, prompt optimization, and fine-tuning strategies;
• Skilled in designing and optimizing RAG pipelines, including embedding generation, sparse and dense retrieval, and hybrid search techniques;
• Familiar with LLM evaluation metrics and tools (BLEU, RAGAS, DeepEval, and other);

• Upper-Intermediate level of English (B2) or above.

   

Highly desireable

• Proven experience building AI-driven workflows using frameworks such as LangGraph, AutoGen, or similar orchestration tools;

• Knowledge of AWS cloud and MLOps.

   

Responsibilities

• Design, implement, and optimize LLM prompts to ensure reliable outputs;
• Assist in developing and maintaining AI evaluation workflows, including designing evaluation guidelines and metrics;
• Help design and develop AI data pipelines: collection, storage, annotation, and model improvement;
• Leverage agent orchestration tools to improve and automate AI workflows;
• Collaborate with the product team to ensure AI capabilities power usable product features.