Role Description Calabrio is looking for a highly skilled and experienced Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer experience supported by trusted, and resilient business solutions. As an AI Software Engineer, you will design, build, deploy, and optimize AI-powered products and platforms, with a strong focus on: - LLM applications - Agentic AI systems - Applied machine learning - Backend engineering - Data pipelines - Evaluation and production operations This role is ideal for someone who can move beyond experimentation and deliver production-grade AI systems, including autonomous and semi-autonomous AI agents that can reason, plan, use tools, retrieve knowledge, and take actions safely within defined business workflows. What you’ll be doing: - Design AI systems - Build end-to-end AI solutions using machine learning, deep learning, NLP, and generative AI technologies. - Develop LLM-powered applications - Create applications using foundation models, prompt engineering, retrieval-augmented generation, structured outputs, function/tool calling, and agent workflows. - Build agentic AI solutions - Design and implement AI agents that can plan, reason through multi-step tasks, interact with external tools and APIs, retrieve relevant context, and execute actions within controlled business processes. - Develop multi-agent and orchestration workflows - Create orchestrated AI systems where multiple agents or components collaborate to solve complex tasks, with clear control flow, observability, and fallback handling. - Productionize models and AI agents - Deploy, monitor, and maintain AI/ML models and agentic systems in production environments with strong reliability, performance, and safety standards. - Build data and inference pipelines - Develop pipelines for ingestion, preprocessing, vector search, model inference, agent memory/context management. - Improve quality and evaluation - Define offline and online evaluation frameworks for model quality, latency, safety, task completion, agent reliability, and business outcomes. - Optimize performance and cost - Improve model selection, prompt efficiency, agent orchestration, latency, throughput, caching, token usage, and serving efficiency. - Ensure governance and safety - Apply best practices for security, privacy, responsible AI, model risk controls, guardrails, agent permissions, compliance, and human-in-the-loop review where needed. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related field required. Master’s degree preferred. - 3+ years of end-to-end experience training, evaluating, testing, deploying, and monitoring machine learning models in production. - Hands-on experience building applications with LLMs, prompt engineering, retrieval-augmented generation, structured outputs, and model evaluation. - Experience with frameworks or platforms for LLM and agent orchestration, such as LangChain, LangGraph, Strands AI, or equivalent architectures. - Experience designing or building AI agents that use planning, memory, tool calling, workflow orchestration, agent-to-agent and external system integration to complete multi-step tasks. - Strong experience with Python and backend frameworks such as Flask or Django for building production APIs and AI services. - Strong understanding of machine learning fundamentals and practical experience with NLP tasks such as text classification, NER, clustering, topic modeling, semantic search, and conversational AI. - Experience with fine-tuning LLMs and transformer-based models such as BERT, RoBERTa, ALBERT, and a solid understanding of tokenizers, embeddings, pre-trained models, and adaptation techniques. - Experience with SQL and NoSQL databases, vector databases or embedding stores, and data pipelines for AI applications. - Experience with model serving, observability, evaluation, error analysis, prompt/version management, and monitoring of AI systems in production. - Familiarity with Linux systems and standard software engineering practices including testing, CI/CD, APIs, and version control. Requirements - Problem solver - devise and implement advanced NLP algorithms and LLM models to address intricate challenges in Conversation Intelligence analytics. - Strong team player – works with internal and external stakeholders to solve problems and actively incorporate input from various sources. - Excellent communication skills and collaborative working style. - Ability to think “out of the box”, strong critical thinking and analytical skills. Benefits - Global team recognized for their passion and innovation. - Innovative product culture and project exposure. - Training and development from industry-leading experts. - Cutting edge benefit programs that include: 401(k) with company matching; medical, dental, and vision insurance; disability and life insurance; flexible PTO; paid holidays and parental leave; tuition reimbursement and more. - Market competitive pay and benefits based upon the candidate’s skills, experience, and qualifications. Starting rate of pay for this salaried position is targeted at $110,000.

Role Description - Apoiar a equipe de melhoria contínua nas atividades diárias, fornecendo suporte no processo de trabalho; - Atualizar informações no CRM; - Monitorar o preenchimento correto das ferramentas internas como CRM, RunRunit, Planilhas de Controle, entre outros; - Realizar qualificação e triagem de leads; - Apoiar a elaboração de análises de indicadores; - Realizar pesquisas para alimentação da Base de dados; - Acompanhar processos de execução das atividades das equipes e propor boas práticas e ferramentas de gestão de processos; - Contribuir na análise de oportunidades e melhorias de produtividade das equipes; - Realizar a extração de dados das ferramentas da equipe. Qualifications - Cursando graduação em Administração, Administração Pública, Gestão Pública, Engenharia de Produção ou áreas correlatas; - Bons conhecimentos do Pacote Office, especialmente Microsoft Excel. Requirements - Boa comunicação; - Capacidade analítica e raciocínio lógico; - Capacidade Analítica; - Mentalidade técnica e grande atenção aos detalhes. Benefits - 🛡️ Seguro de Vida: Seguro Estágio PASI; - 🏠 Vale Home Office: R$ 200,00 por mês + adicional R$ 200 anual; - 🎉 Day Off: Folga no dia do seu aniversário; - 💰 Remuneração Variável: Distribuição entre a equipe de remuneração variável gerada pela captação do ano, conforme o atingimento de metas e pesos/proporções, pago no ano subsequente; - 📚 Política de Capacitação: A Nexo tem uma política de incentivo a capacitação de seu time, o incentivo pode variar entre 50% a 100% do valor dos cursos/treinamentos e é concedido mediante análise tanto da pertinência ao trabalho desenvolvido, quanto da disponibilidade de orçamento da empresa; - 🌐 Regime de estágio remoto. Company Description Somos uma agência que atua em todo o território nacional para Organizações da Sociedade Civil e Empreendedores Culturais que apoia na mobilização de recursos para transformar realidades. Trabalhamos com todo o ciclo do Investimento Social incentivado em três grandes frentes: elaboração de projetos, captação de recursos e assessoria para gestão de projetos e prestação de contas. Nossa missão é fortalecer organizações qualificando seu trabalho e mobilizando recursos para que elas possam transformar o mundo. Por aqui valorizamos a pluralidade! Afinal, contar com pessoas de trajetórias e sotaques diversos nos ajuda a apoiar projetos do país inteiro. Por isso, contamos com colaboradores de diversas partes do Brasil. Alinhados a isso, como parte do compromisso de ampliar a diversidade de pessoas na empresa, damos preferência pela contratação de pessoas autodeclaradas negras (pretas ou pardas). - Respeito; - Diversidade; - Cooperação; - Motivação; - Ética; - Excelência; - Visão sistêmica; - Flexibilidade; - Trabalho orientado por dados.

• Liderar la transformación digital de las operaciones mediante soluciones de Inteligencia Artificial. • Conceptualizar y diseñar soluciones de hiperautomatización centradas en IA. • Determinar la mejor arquitectura y solución de IA en proyectos complejos. • Optimizar y mejorar el rendimiento de los modelos de IA. • Colaborar con los equipos de los clientes para identificar problemas resueltos mediante IA. • Liderar la implementación de soluciones técnicas de IA con diferentes soluciones de mercado. • Mantenerse actualizado con los últimos avances en inteligencia artificial. • Gestionar y acompañar al equipo técnico, promoviendo su desarrollo profesional.

• Design, build, and deploy advanced AI solutions using LLMs, RAG, embeddings, vector databases, semantic search, and agentic architectures. • Develop intelligent systems that can process documents, retrieve knowledge, generate content, automate workflows, and transform unstructured data into actionable insights. • Work with modern GenAI and AI engineering tools such as LangChain, LangGraph, Hugging Face, PyTorch, MCP, multi-agent frameworks, and cloud-native AI services. • Build scalable, reliable AI applications across Azure, AWS, Databricks, or similar cloud/data platforms. • Experiment with and evaluate foundation models, prompts, retrieval strategies, orchestration patterns, and performance optimization techniques. • Collaborate closely with engineering, product, data, and business teams to define the right technical approach and deliver high-impact AI solutions. • Stay plugged into the fast-moving GenAI ecosystem and bring new ideas, tools, and prototypes into real-world applications.