Gen AI Engineer

Key Responsibilities:

Design and implement scalable MLOps-driven data pipelines

Build end-to-end Machine Learning workflows

Develop AI-powered products using LLMs & Neural Networks

Work on Agentic AI & Generative AI solutions

Deploy ML models using Vertex AI Pipelines, Kubeflow, or similar tools

Implement RAG (Retrieval-Augmented Generation) and fine-tuning techniques

Required Skills & Tech Stack:

Expert-level Python

FastAPI / Flask, SQL

Data pipeline tools like Airflow, AWS Glue

Cloud: Google Cloud Platform (Preferred)

Containers: Docker & Kubernetes

Strong understanding of CI/CD practices

AI/ML Expertise:

Hands-on experience with LLMs (OpenAI, Gemini, Claude, Open-source models).

Strong knowledge of TensorFlow, PyTorch, Spark ML.

Experience with Distributed Systems & Scalable Architectures.