Developer III – Focus on Artificial Intelligence

Cooperativa Central Ailos

AI Developer focused on developing and sustaining generative AI solutions for corporate systems. Collaborating with cross-functional teams on innovative projects.

Posted 7/20/2026full-timeBlumenau • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining generative AI solutions, with a strong focus on LLMs, intelligent agents, and cloud integrations. Proficient in translating business requirements into secure and scalable technical architectures while ensuring compliance with data privacy regulations.

Highest-signal resume keywords

Generative AI DevelopmentLLM Architecture and FundamentalsAWS Bedrock and AI/ML ServicesMicrosoft Azure Foundry and Copilot StudioRAG Pipeline Design and Development

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Applicant Tracking System Keywords

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Hard Skills

Python DevelopmentC# or Node.js/JavaScriptAPI Design and IntegrationSoftware Engineering PracticesPrompt Engineering TechniquesVector Database FamiliarityTask AutomationAgile MethodologiesTechnical DocumentationPerformance Monitoring

Soft Skills

Problem-SolvingCollaborationCommunicationTechnical GuidanceAdaptability

Tools & Technologies

AWS BedrockMicrosoft 365 CopilotCopilot StudioMicrosoft Azure FoundryLangChainLangGraphSemantic KernelAutoGenKnowledge BasesMulti-Agent Frameworks

Industry Keywords

Generative AIData Privacy ComplianceLGPDIntelligent AutomationCorporate Systems Integration

Tech Stack

Tools & technologies

AWSAzureJavaScriptNode.jsPython

About the role

Key responsibilities & impact

Develop, evolve and maintain generative AI solutions, from prototyping through deployment in corporate environments;
Design and implement applications based on LLMs, intelligent agents, multi-agent flows, integrations with APIs, knowledge bases and cloud services;
Develop AI agents capable of executing tasks, invoking tools, interacting with corporate systems, accessing knowledge bases and supporting intelligent automation journeys;
Build solutions and extensions related to the AWS Bedrock ecosystem, Microsoft 365 Copilot, Copilot Studio and other AI platforms used by the organization;
Work alongside architecture, security, data and business areas to translate requirements into viable, secure and scalable technical solutions;
Develop components, connectors, automations and integrations using platforms such as Microsoft Azure Foundry, Copilot Studio and AWS Bedrock;
Define technical approaches for the use of LLMs, RAG (Retrieval-Augmented Generation), embeddings, vector databases, agent orchestration and response evaluation;
Implement agentic architecture patterns, including use of tools, memory, planning, task routing, context retrieval and fallback mechanisms;
Document technical decisions, development patterns, integrations and best practices for responsible AI solution development;
Monitor performance, quality, cost, security and behavior of AI solutions in production, proposing adjustments and continuous improvements;
Stay up to date on AI trends and advances, evaluating their applicability to the Sistema Ailos context;
Ensure projects comply with internal security and data privacy policies and applicable regulations such as the LGPD (Brazilian General Data Protection Law).

Requirements

What you’ll need

Availability to work on-site/hybrid in Blumenau;
Bachelor's degree in Technology, Engineering, Business Administration or related fields;
Solid experience in software development, preferably with background in backend, integrations, APIs, automation or cloud applications;
Hands-on knowledge of Microsoft platforms: Azure Foundry, Copilot Studio and/or Microsoft 365 Copilot;
Hands-on experience with AWS and its AI/ML services (Bedrock);
Ability to translate business needs into technical solutions, defining architecture, integrations, data flows and quality criteria;
Experience with software engineering practices, code versioning, technical reviews, testing, documentation and working in agile teams;
Strong knowledge of generative AI and LLM fundamentals: architecture, tokenization and leading models in the market (GPT, Claude, Llama, OpenAI models etc.);
Practical experience designing and developing RAG pipelines (Retrieval-Augmented Generation), including chunking strategies, semantic indexing, reranking and retrieval optimization;
Hands-on experience designing, developing and orchestrating AI agents, including multi-agent flows, tool use, memory, planning, routing and frameworks such as LangChain, LangGraph, Semantic Kernel or AutoGen;
Knowledge of building agents integrated with APIs, knowledge bases, internal systems and cloud services, considering security, traceability, response quality and user experience;
Familiarity with prompt engineering techniques: few-shot, chain-of-thought, prompt chaining and structured outputs;
Experience evaluating and testing generative AI solutions: metrics for accuracy, relevance, faithfulness and evaluation frameworks;
Familiarity with vector databases;
Experience with Python development for prototyping, integrating LLM APIs, automating AI flows and building service-oriented applications;
Required knowledge of C# or Node.js/JavaScript for developing applications, APIs, integrations, connectors and components related to agent stacks and AI solutions;
Knowledge of API design, system integration, authentication, consuming external services and security best practices for corporate applications;
Ability to work technically on complex problems, guide implementation decisions and support the technical evolution of solutions within the team.

Benefits

Comp & perks

Medical insurance – available when you need it
Dental insurance – because we love smiles here
Renascer Program – one life renews another
Significant Dates – we value and celebrate what matters
Investment in Education – we support you on your learning journey
Profit-sharing (Participation in Results) – we build together, celebrate together on Perten-ser Day
Individual Development Plan – we value your ownership of your career
Private pension plan – we like to think about future possibilities
Life insurance – an important benefit
Time Together – we recognize those who enjoy being with us
Meal and/or food allowance
Transportation allowance – provided without salary deductions
Childcare/babysitting assistance – because your little one deserves a safe, welcoming place.