Opportunity: Full Stack Software Developer - BuscarVagas Portal

Description

Job Summary: A professional to design and implement scalable APIs and microservices, integrating databases, building interfaces, and orchestrating AI agents in the cloud. Key Highlights: 1. Lead the full lifecycle of AI Agents 2. Develop and integrate AI components with Machine Learning and Deep Learning 3. Explore and apply Large Language Models (LLMs) and Prompt Engineering **RESPONSIBILITIES:** Design and implement scalable APIs and microservices in languages such as Python (FastAPI, Django, Flask), Node.js (Express.js, NestJS), or Java (Spring Boot). Integrate and manage relational, non-relational, or vector databases for storing process data, action histories, and agent knowledge. Develop and orchestrate serverless functions and containers to support agent and microservice logic. Build intuitive and responsive web interfaces (with React, Angular, or Vue.js) and/or mobile interfaces (with React Native or Flutter). Develop dashboards and visualization tools to monitor AI agent performance, display insights, and enable human interaction. Cloud-Based AI Agent Design and Orchestration: Lead the full lifecycle of AI Agents—from defining their objectives, perceptions, and actions to implementing and orchestrating them at scale. Develop and integrate AI components using Classical Machine Learning (Anomaly Detection, Classification, Regression) and Deep Learning (Neural Networks, Time Series) to empower agents in decision-making and analysis. Explore and apply Large Language Models (LLMs) and Prompt Engineering to enable AI agents to interpret complex information, generate responses, communicate naturally, or automate report and summary generation. Implement and refine Reinforcement Learning (RL) algorithms for agents that learn to optimize actions in dynamic and complex environments. Actively use cloud-based AI platforms—such as AWS SageMaker, Azure Machine Learning, and/or Google AI Platform (Vertex AI)—for training, deploying, and managing AI models that power the agents. Ensure code quality through unit, integration, and end-to-end testing. Apply best practices in information security and data governance. Maintain a proactive mindset regarding AI ethics, pursuing transparent and auditable solutions. **REQUIREMENTS:** Bachelor's degree in Computer Science, Software Engineering, Systems Analysis, or related fields. Minimum of 5 years of experience as a Full Stack Developer, with a proven track record of delivering high-quality software. Preferably 2 years of experience working with AI. Strong proficiency in Python, Java (Spring Boot), Flutter, Kotlin, Swift, with experience in relevant web/backend frameworks. Practical and proven experience with Machine Learning algorithms (classification, regression, time series) and Deep Learning (Neural Networks, LSTMs). Ability to design, develop, and orchestrate AI Agents (rule-based, model-based, goal-oriented, and/or learning-based). Experience with ML frameworks such as TensorFlow, PyTorch, LangChain. Familiarity with Large Language Models (LLMs) and Prompt Engineering. Integration and usage of LLM APIs (OpenAI, GPT, Anthropic). Knowledge or experience in Reinforcement Learning (RL) is highly desirable. Advanced experience with cloud computing, storage, database, and especially AI/ML services on AWS (e.g., SageMaker, Lambda, SQS/SNS, S3, EC2, RDS) and Azure (e.g., Azure Machine Learning, Azure Functions, Blob Storage, Azure SQL Database, Virtual Machines). Proficiency in Docker and Kubernetes for deploying applications and AI models. Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD for ML). Experience with relational and non-relational databases, as well as vector databases. Ability to analyze complex problems and propose innovative solutions. Skill in effectively collaborating within an agile, multidisciplinary environment. Preferred Qualifications: Experience with real-time data processing (streaming). Familiarity with Explainable AI (XAI) principles (tools such as SHAP). Postgraduate degree or relevant certifications in AI/ML or Cloud. Experience with process automation platforms, using tools like n8n. Prior experience with NVIDIA frameworks and Jetson Orin NX. **WORK SCHEDULE:** Monday to Friday, from 8:00 AM to 5:30 PM **BENEFITS:** Medical insurance; Dental insurance; Education allowance; Free parking; Profit-sharing program; Life insurance; Meal voucher; Transportation voucher. Partner Instagram: @divulgavagas.oficial