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Open nowPosted 263 days ago

Senior AI Engineer

Workable (global search)108,016 open roles

Where
Ukraine
Work mode
Remote
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Your applicationOpen nowSenior AI EngineerWorkable (global search) · Ukraine

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 263 days ago

Workable (global search) median: 7 days open

The posting

We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you.

Responsibilities

  • Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).
  • Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs.
  • End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring.
  • LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements.
  • AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines.
  • Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team.
  • Mentor junior engineers and contribute to technical direction and engineering best practices.

Requirements

  • BSc in Computer Science, Mathematics, or related field.
  • 5+ years of professional experience working on AI/ML projects.
  • Good command of English (written and spoken).
  • Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy).
  • Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics.
  • Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis.
  • Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar.
  • Good grasp of software-engineering best practices: Git, code reviews, testing, CI.

Preferred Qualifications

  • Knowledge of C++ or C# for performance-critical modules.
  • Experience deploying models via Docker, Kubernetes, or cloud AI services.
  • Exposure to vector databases and RAG workflows.
  • Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels).
  • Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML).
  • Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction)
  • Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc.
  • Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning.
  • Familiarity with modern data lake architectures and scalable data storage concepts.
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