AI Solutions Engineer

Role Summary

Leega is a company focused on efficient and innovative service to its customers.

This couldn't be any different with our main fuel: people!

Our culture is inspiring and our values are present in everyday life: ethics and transparency, quality excellence, teamwork, economic, social and environmental responsibility, human relations and credibility.

We are looking for innovative professionals who are driven by challenges and focused on results.

If you are looking for a dynamic and partner company that invests in its employees through constant training, Leega is the place for you!

>> LEEGA IS FOR EVERYONE, we will be very happy to have you on our team. Come and be part of our history and the construction of our future.

Sign up for our vacancies right now!

Responsibilities

• We are looking for a professional passionate about Artificial Intelligence and software development, capable of working from identifying business opportunities to building and implementing AI-based solutions.
• You will be responsible for supporting clients and internal teams in transforming processes through AI technologies, combining consultative vision, technical capacity and strong communication skills.
• Conduct assessments with clients to understand business challenges, processes, pain points and opportunities for applying Artificial Intelligence.
• Act in a consultative manner, questioning existing processes and proposing new ways of working supported by AI.
• Identify, design and prioritize AI use cases with a focus on generating value for the business.
• Design, develop and deploy AI solutions using LLMs, intelligent agents, RAG, automations and other modern architectures.
• Develop applications using AI as an accelerator of the development cycle (AI-assisted development).
• Create AI agents capable of performing tasks, integrating systems, orchestrating flows and supporting corporate processes.
• Integrate AI solutions with APIs, legacy systems, cloud platforms and enterprise tools.
• Work together with architects, infrastructure experts, DevOps and development teams to ensure scalability, security and governance of solutions.
• Participate in the definition of modern application architectures with a focus on AI.
• Build proofs of concept (PoCs), MVPs and productive solutions.
• Support clients in adopting good practices in responsible AI, security, governance and cost optimization.
• Monitor the evolution of the Generative AI ecosystem, continually evaluating new tools, models and frameworks.
• Disseminate knowledge through workshops, technical demonstrations and team training.

Mandatory requirements

• Experience in software development using languages such as Python, JavaScript/TypeScript, Java, Node, etc.
• Practical experience with Generative Artificial Intelligence and Large Language Models (LLMs).
• Knowledge in developing AI agents, intelligent workflows and AI-based applications.
• Experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel or similar.
• Knowledge in RAG (Retrieval-Augmented Generation) architectures, embeddings, vector banks and semantic search.
• Experience in consuming and integrating AI models through APIs (OpenAI, Anthropic, Google Gemini, Azure OpenAI, AWS Bedrock, among others).
• Knowledge of modern application architecture, 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 transform business needs into technical solutions.

Differences

• Experience with enterprise AI platforms.
• Experience in MLOps and LLMOps.
• Knowledge in observability, evaluation and monitoring of AI applications.
• Experience with low-code/no-code platforms for AI.
• Cloud or AI certifications.
• Knowledge of corporate architecture and systems integration.
• Experience in technology consultancies.

Behavioral skills

• Excellent verbal and written communication.
• Strong consultative profile and customer relationship skills.
• Ease of conducting interviews, workshops and assessments.
• Critical thinking and ability to challenge existing processes.
• Curiosity and continuous learning about new technologies.
• "Hands-on" profile, with ease in transforming ideas into solutions.
• Autonomy, organization and sense of ownership.
• Ability to work in dynamic environments with rapid technological evolution.
• Ease of working in multidisciplinary teams.
• Business vision combined with technical capacity.

Benefits

100% Remote (with some sporadic trips to the office in SP)