Python Developer

Job Description – Python Developer / AI Engineer

Position Overview

We are looking for a talented Python Developer / AI Engineer to join our product team. This role will focus on developing AI-driven features, automation tools, and backend services that complement our HRIS and payroll platform. The ideal candidate will have a strong foundation in Python development, experience working with AI/ML frameworks, and the ability to design scalable and high-performance backend solutions.

Key Responsibilities

Design, develop, and maintain backend services, APIs, and automation tools using Python (Flask, FastAPI, or Django).

Integrate LLMs (e.g., LLaMA 3/4) and AI frameworks into our SaaS platform for chatbots, natural language processing, and workflow automation.

Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS).

Develop data processing workflows for payroll/HR datasets, ensuring accuracy and performance.

Collaborate with PHP developers to integrate AI modules seamlessly into the HRIS portal.

Work on STT (speech-to-text) and TTS (text-to-speech) integration with desktop and mobile devices.

Ensure security and data confidentiality for all AI-driven features.

Conduct testing, troubleshooting, and performance tuning of Python-based services.

Stay up-to-date with AI/ML trends, open-source tools, and cloud-based deployments (AWS, GCP, Azure).

Requirements

Bachelor's degree in Computer Science, Data Science, or related field (or equivalent experience).

Proven experience as a Python Developer (3+ years preferred).

Proficiency with Python frameworks: FastAPI, Flask, or Django.

Strong experience with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers).

Familiarity with vector databases (FAISS).

Solid understanding of data structures, algorithms, and performance optimization.

Experience with RESTful API development and cloud deployment (AWS preferred).

Good understanding of security, encryption, and compliance for sensitive data.

Strong problem-solving and collaboration skills.

Nice-to-Have

Experience fine-tuning or deploying open-source LLMs (LLaMA 3/4).

Knowledge of parallel computing and HPC environments.

Familiarity with containerization (Docker, Kubernetes).

Exposure to payroll/HRIS systems or financial data processing.

Experience with voice AI (speech recognition, text-to-speech engines).