Gen AI Engineer
NucleusTeq Inc.
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Tech stack
Artificial Intelligence
Airflow
Artificial Neural Networks
Cloud Computing
Continuous Integration
Distributed Systems
Machine Learning
Open Source Technology
TensorFlow
Google Cloud Platform
PyTorch
Retrieval-Augmented Generation
Flask
Large Language Models
Spark
Generative AI
FastAPI
Kubernetes
Amazon Web Services (AWS)
Machine Learning Operations
Virtual Agents
Data Pipelines
Docker
Job description
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
Requirements
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.
