Senior AI/ML Fullstack Engineer

Hire Hangar, Inc.; Quilmes; Remoto; ARS 1.400.000 - 2.600.000; Tempo pieno

Descrizione del lavoro

Hire Hangar, Inc. is seeking an AI Developer to join EY GDS Digital Engineering projects and contribute to AI/ML-powered solutions. You will work with multi-disciplinary teams to design, develop and deploy LLM-based applications across cloud-native environments.

Role involves integrating Azure OpenAI and other models, building Python APIs, and creating robust, testable ML workflows with modern development practices.

Competenze

• Hands-on AI/ML development experience.
• Experience with LLM-based solutions and RAG architectures.
• Cloud-native development and containerised services.

Mansioni

• Design, develop and implement AI/ML-powered solutions using LLMs, RAG architectures and prompt engineering best practices.
• Build Python-based services, APIs and automation components to support scalable AI applications.
• Integrate Azure OpenAI, Mistral, Qwen and other model providers into enterprise-grade solutions.
• Design and implement agentic AI workflows using frameworks such as Auto-Gen and LangGraph.
• Develop, train, validate and maintain ML/DL models using Scikit-learn, TensorFlow, Keras and N-BEATS where applicable.
• Integrate data storage and retrieval using Azure Blob Storage, CosmosDB, MongoDB/NoSQL concepts, and SQL.
• Deploy serverless and containerised components using Azure Functions, Docker and cloud-native practices.
• Create unit tests, maintain code quality, use GitHub for version control.

Conoscenze

AI development

Machine learning

LLMs

RAG systems

Cloud-native

Python

API/Service development

Strumenti

Azure OpenAI

Mistral

Qwen

LangGraph

Auto-Gen

TensorFlow

Keras

Scikit-learn

Azure Functions

Docker

CosmosDB

MongoDB

Descrizione del lavoro

Hire Hangar, Inc. is seeking an AI Developer to join EY GDS Digital Engineering projects and contribute to AI/ML-powered solutions. You will work with multi-disciplinary teams to design, develop and deploy LLM-based applications across cloud-native environments.

Role involves integrating Azure OpenAI and other models, building Python APIs, and creating robust, testable ML workflows with modern development practices.