Senior AI Engineer

🕒 January 14

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ProgressSoft Corporation

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1989

💸 Finance

💳 Fintech

🏦 Banking

Finance • Fintech • Banking

ProgressSoft Corporation is a pioneer in payment and financial solutions since 1989, offering a wide range of products and services for banks, central banks, and clearing houses. Their offerings include instant payments, real-time gross settlement, electronic bill presentment and payment, and electronic check clearing systems. ProgressSoft is dedicated to providing innovative digital banking platforms, including corporate and retail banking solutions, mobile payments, and electronic Know Your Customer systems. They emphasize on custom solutions and seamless integration to enhance digital banking experiences globally.

📋 Description

• 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.