Accelerate your career as a Junior Python Developer, contributing directly to groundbreaking AI solutions built on Azure AI Foundry. This remote role offers immediate immersion into RAG systems and multi-agent architectures, providing a unique opportunity to shape the future of intelligent applications from day one.
Develop and deploy Python-based applications, integrating AI/ML/DL models.
Implement and optimize Retrieval Augmented Generation (RAG) systems.
Contribute to the design and development of multi-agent architectures.
Utilize Azure AI Foundry for model deployment, monitoring, and orchestration.
Write clean, efficient, and well-documented code, adhering to best practices.
Participate in code reviews, testing, and debugging to ensure high-quality software.
Collaborate asynchronously with a remote team using Git, VS Code, Slack, and Jira.
Demonstrated proficiency in Python programming through academic projects, internships, or personal work.
Foundational understanding of Artificial Intelligence, Machine Learning, and Deep Learning concepts.
Familiarity with RAG systems or relevant natural language processing techniques.
Exposure to multi-agent system principles, even through theoretical study or small-scale implementations.
Practical experience with a cloud platform, preferably Azure, and an eagerness to learn Azure AI Foundry.
Proficient with Git for version control.
Strong problem-solving abilities and a proactive approach to learning new technologies.
Ability to work effectively and independently in a remote team environment.
Project experience specifically with Azure AI Foundry or Azure Machine Learning.
Contributions to open-source projects, particularly in AI/ML.
Experience with MLOps principles or tools.
Familiarity with containerization technologies like Docker.
Understanding of prompt engineering best practices.
Direct mentorship from senior AI engineers on complex, impactful projects.
Immediate exposure to cutting-edge AI technologies, including RAG and multi-agent systems on Azure AI Foundry.
Dedicated budget and time for professional development, courses, and certifications.
Flexible, fully remote work environment that prioritizes output and well-being.
A collaborative culture focused on innovation and continuous learning.
Competitive compensation package and benefits.