AI Solutions Engineer

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🔥 29 minutes ago

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

🔌 API

🤖 Artificial Intelligence

API • Artificial Intelligence • Cloud Solutions

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Conduct assessments with clients to understand business challenges, processes, pain points, and opportunities for applying Artificial Intelligence. • Act in a consultative capacity, questioning existing processes and proposing new ways of working supported by AI. • Identify, design, and prioritize AI use cases focused on delivering business value. • Design, develop, and deploy AI solutions using LLMs, intelligent agents, RAG, automations, and other modern architectures. • Develop applications using AI as an accelerator for the development cycle (AI-assisted development). • Create AI agents capable of executing tasks, integrating systems, orchestrating flows, and supporting corporate processes. • Integrate AI solutions with APIs, legacy systems, cloud platforms, and enterprise tools. • Collaborate with architects, infrastructure specialists, DevOps, and development teams to ensure scalability, security, and governance of solutions. • Participate in defining modern application architectures with a focus on AI. • Build proofs of concept (PoCs), MVPs, and production-ready solutions. • Support clients in adopting best practices for responsible AI, security, governance, and cost optimization. • Keep up with the evolution of the Generative AI ecosystem, continuously evaluating new tools, models, and frameworks. • Share knowledge through workshops, technical demonstrations, and team training.

🎯 Requirements

• Experience in software development using languages such as Python, JavaScript/TypeScript, Java, Node, etc. • Hands-on experience with Generative AI and Large Language Models (LLMs). • Knowledge of developing AI agents, intelligent workflows, and AI-based applications. • Experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar. • Knowledge of RAG (Retrieval-Augmented Generation) architectures, embeddings, vector databases, and semantic search. • Experience consuming and integrating AI models via APIs (OpenAI, Anthropic, Google Gemini, Azure OpenAI, AWS Bedrock, among others). • Knowledge of modern application architectures, REST APIs, microservices, and integrations. • Experience with cloud environments (AWS, Azure, or Google Cloud). • Knowledge of DevOps practices, CI/CD, containers (Docker), Kubernetes, and deployment automation. • Familiarity with Git and good software engineering practices. • Ability to translate business needs into technical solutions.

🏖️ Benefits

• Continuous training • Working in a multidisciplinary team • Flexibility to work in dynamic environments