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Senior AI Engineer

ProgressoftRemote — Ukraine
Remote Full-time

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Experience Level

Senior

Qualifications

RequirementsBSc in Computer Science, Mathematics, or a related field.5+ years of professional experience in AI/ML projects. Proficient in English (both written and spoken). Strong programming skills in Python and familiarity with key libraries (PyTorch/TensorFlow, scikit-learn, pandas, NumPy). Deep understanding of machine-learning algorithms, deep learning principles, and fundamental statistics. Experience with data wrangling, visualization (Matplotlib/Plotly), and exploratory analysis. Familiarity with at least one of the following: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar tools. Solid grasp of software engineering best practices including Git, code reviews, testing, and CI. Preferred QualificationsProficiency in C++ or C# for performance-sensitive modules. Experience in deploying models using Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skills in BI/dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps/LLMOps tools (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience in image processing techniques (e.g., OpenCV).

About the job

Join our team at Progressoft as a Senior AI Engineer, where your passion for transforming data into intelligent, production-ready solutions will thrive. In this remote role, you will engage with the entire AI stack, from classical machine-learning models to cutting-edge large language models (LLMs), computer vision pipelines, and analytics/forecasting workflows. If you are enthusiastic about data exploration, model development, and delivering reliable AI services, we are eager to connect with you.

Key Responsibilities

  • Model Development: Design, train, fine-tune, and assess models across various methodologies including classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).
  • Data Exploration & Analytics: Perform exploratory data analysis, statistical testing, and forecasting to guide feature development and business KPIs.
  • End-to-End Pipelines: Create reproducible workflows for data ingestion, feature engineering, training, CI/CD, and automated monitoring.
  • LLM & Agentic AI Engineering: Develop prompts and retrieval-augmented generation (RAG) pipelines; fine-tune LLMs on specialized datasets to enhance accuracy and meet product specifications.
  • AI Automation & Integration: Deploy AI components as micro-services; integrate with orchestration tools (Airflow, Prefect) and business APIs to streamline decision-making processes.
  • Continuous Learning: Stay updated on advancements in LLMs, vision, and analytics; share knowledge and best practices with the engineering team.
  • Mentorship: Provide guidance to junior engineers and contribute to shaping technical direction and engineering excellence.

About Progressoft

At Progressoft, we are committed to harnessing the power of artificial intelligence to drive innovation across industries. Our team is passionate about creating intelligent solutions that empower businesses to thrive in the digital age. Join us and be part of a forward-thinking company that values creativity, collaboration, and continuous learning.

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