Description

Responsibilities

Design, develop, and deploy LLM‑powered and AI‑driven applications.

Build scalable, high‑performance solutions using Python and modern engineering practices.

Develop and maintain REST APIs and microservices supporting critical business operations.

Work with diverse data sources (text, voice, image, structured datasets).

Collaborate with cross‑functional teams to identify opportunities for automation and optimization.

Own production systems: monitoring, troubleshooting, and continuous improvement.

Translate ambiguous business requirements into end‑to‑end technical solutions.

Write clean, maintainable, and reusable code following agile practices.

Must‑Have Requirements

3–5 years of professional software engineering experience.

Bachelor’s or Master’s in Computer Science, Engineering, or equivalent practical experience.

Strong hands‑on Python experience for data‑intensive and high‑performance applications.

Experience building and deploying production machine learning solutions.

Demonstrated work with Large Language Models (LLMs) and Generative AI.

Experience developing REST APIs and microservices.

Proficiency with MySQL and Redis.

Familiarity with at least one deep learning framework (PyTorch, TensorFlow, JAX).

Strong fundamentals in statistics, data analysis, model evaluation, and performance optimization.

Clear examples of debugging, troubleshooting, and distributed systems problem‑solving.

Nice‑to‑Have Qualifications

Experience with recommender systems, operations research, or advanced AI/ML solutions.

Building and supporting enterprise‑scale ML platforms.

Working with large, complex datasets in production environments.

Knowledge of C# and ASP.NET (secondary skill).

Prior experience automating compliance frameworks and generating audit evidence

Key Skills

Education

Bachelor's degree