ProgressSoft Corporation

Senior AI Engineer

ProgressSoft Corporation

full-time

Posted on:

Location Type: Remote

Location: Ukraine

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Job Level

Senior

Tech Stack

AirflowNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningdeep learninggenerative AIPythonPyTorchTensorFlowscikit-learnpandasNumPydata wrangling
Soft skills
mentoringcommunicationcollaborationtechnical directionbest practices
Certifications
BSc in Computer ScienceBSc in Mathematics