Senior Fullstack Engineer - Ai-Driven Fintech Cx (Remote)

Sky Systems, Inc. (Skysys); Quilmes; Remoto; ARS 1.200.000 - 1.800.000; Tempo pieno

Descrizione del lavoro

Sky Systems, Inc. (Skysys) is hiring a seasoned AI/ML Engineer to design and deliver production-ready AI/ML solutions.

You will build Python-based services, APIs, and automation components to enable scalable AI applications, while integrating Azure OpenAI and multiple model providers into enterprise-ready solutions. You will design agentic AI workflows and train/validate ML models using frameworks like TensorFlow and Keras, ensuring robust security and operability in distributed teams across

Competenze

• Experience designing and implementing AI/ML powered solutions in production.
• Proficient in Python and modern ML frameworks.
• Familiar with LLMs, RAG architectures and prompt engineering.
• Experience integrating cloud model providers and building scalable 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 for scalable AI applications.
• Integrate Azure OpenAI, Mistral, Qwen and other model providers into enterprise-grade solutions.
• Design agentic AI workflows using Auto-Gen and LangGraph.
• Develop, train, validate and maintain ML/DL models using Scikit-learn, TensorFlow, Keras, N-BEATS.
• Integrate data storage with Azure Blob Storage, CosmosDB, MongoDB/NoSQL, and SQL.
• Deploy serverless and containerized components with Azure Functions, Docker and cloud-native practices.
• Create unit tests, maintain code quality, use GitHub for version control, and support delivery with modern tooling.
• Apply secure engineering practices including Linux server hardening and operability readiness.
• Collaborate with distributed teams, communicate decisions clearly and contribute reusable assets.

Conoscenze

Python

ML/DL

LLMs

Prompt engineering

REST APIs

GitHub

Strumenti

Azure OpenAI

Docker

CosmosDB

MongoDB

SQL

Azure Functions

Descrizione del lavoro

Your key responsibilities

• 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 machine learning/deep learning models using Scikit-learn, TensorFlow, Keras and N-BEATS where applicable.
• Integrate data storage and retrieval capabilities using Azure Blob Storage, CosmosDB, MongoDB/NoSQL concepts, and SQL.
• Deploy serverless and containerized components using Azure Functions, Docker and cloud-native engineering practices.
• Create unit tests, maintain code quality, use GitHub for version control, and support delivery through modern development tooling.
• Apply secure engineering practices including Linux server hardening and operational readiness considerations.
• Collaborate with distributed teams, communicate technical decisions clearly and contribute to reusable delivery assets.

Skills and attributes for success

Technical attributes

AI & ML: LLMs, Azure OpenAI, Mistral, Qwen, RAG Systems, Prompt Engineering, Agentic AI (Auto-Gen, LangGraph), N-BEATS, Scikit-learn, TensorFlow and Keras.

Cloud & Databases

Python (Expert), Azure Blob Storage, CosmosDB and MongoDB (NoSQL notions), SQL and Azure Functions.

Integration & Tools

REST APIs, GitHub, Docker, Unittest, VS Code and Linux Server Hardening.

Languages

Python (Specialized), Java, C++ and Rust.

Management attributes

Experience communicating technical study conclusions through written reports and presentations using tools such as PowerPoint, Excel and Word.

Experience working under agile delivery methodology and collaborating with globally distributed teams.

Experience researching new products/tools, validating emerging technologies and developing rapid prototypes.

To