Desenvolvedor Operações Sênior - IA & Agentes Autônomos

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Desenvolvedor Operações Sênior - IA & Agentes Autônomos based in Brazil. This is a senior, hands-on role focused on turning generative AI into secure, scalable, production-ready solutions. You will build, customize, deploy, and optimize AI agents and virtual assistants for complex enterprise environments. The role combines strong backend engineering with APIs, cloud infrastructure, RAG architectures, and LLM observability. You will work at the forefront of autonomous agent development, testing modern frameworks and technologies as part of an expert team. Your impact will extend beyond coding, as you challenge technical assumptions and influence architecture and delivery decisions. You will collaborate closely with architects, specialists, and enterprise stakeholders to solve complex problems and unlock new use cases. This is an agile, innovative environment for someone who enjoys ownership, experimentation, and building AI capabilities at scale. This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Desenvolvedor Operações Sênior - IA & Agentes Autônomos based in Brazil. This is a senior, hands-on role focused on turning generative AI into secure, scalable, production-ready solutions. You will build, customize, deploy, and optimize AI agents and virtual assistants for complex enterprise environments. The role combines strong backend engineering with APIs, cloud infrastructure, RAG architectures, and LLM observability. You will work at the forefront of autonomous agent development, testing modern frameworks and technologies as part of an expert team. Your impact will extend beyond coding, as you challenge technical assumptions and influence architecture and delivery decisions. You will collaborate closely with architects, specialists, and enterprise stakeholders to solve complex problems and unlock new use cases. This is an agile, innovative environment for someone who enjoys ownership, experimentation, and building AI capabilities at scale. Accountabilities Proactively identify technical bottlenecks and ensure the quality, security, reliability, and performance of AI solutions from end to end. Act as a technical advisor, challenging existing approaches, proposing more efficient architectures, and influencing technical decisions with specialists and enterprise clients. Develop, customize, and deploy AI agents and virtual assistants while integrating complex ecosystems involving APIs, ERPs, CRMs, databases, and other enterprise systems. Design and implement RAG workflows and work with vector databases to provide AI agents with accurate, relevant, and context-rich information. Monitor, troubleshoot, and optimize LLM usage, focusing on cost, latency, response quality, and overall performance through observability and tracing tools. Collaborate with architects and technical specialists to evolve solution architectures and contribute to cloud deployment processes and infrastructure on AWS. Apply a proactive, problem-solving mindset to continuously improve AI solutions, development practices, and technical outcomes. Requirements Strong analytical and communication skills, with the ability to articulate technical decisions, advocate for innovation, and constructively challenge established practices. Solid professional experience as a Backend Developer, preferably working with TypeScript/Node.js and/or Python. Practical experience designing, developing, and integrating RESTful APIs and Webhooks. Experience building and orchestrating AI workflows using modern frameworks, particularly Mastra for TypeScript-based agents, LangChain, or equivalent technologies. Hands-on experience with LLM observability and tracing tools such as Langfuse, including monitoring costs, latency, performance, and response quality. Practical knowledge of cloud computing, particularly AWS services such as EC2, Lambda, API Gateway, S3, and related infrastructure. Strong understanding of generative AI concepts, including Prompt Engineering, Embeddings, Chunking, and RAG architectures. Experience with relational and non-relational databases, together with familiarity with vector databases such as Pinecone, Qdrant, or ChromaDB. Knowledge of DevOps practices and CI/CD pipelines, including GitHub Actions or GitLab CI, is a plus. Experience working on technology projects for enterprise or B2B clients is desirable. Familiarity with LLM tool/function calling using platforms such as OpenAI, Anthropic, or Gemini is an advantage. Experience with automated testing for AI workflows is a plus. Benefits Fully remote work model within Brazil. Flexible working hours. Comprehensive healthcare and dental coverage with no copayment for employees, with dependent options. Life insurance, telemedicine, and access to medical specialties. Wellness benefits, including a birthday day off, Gympass, sports and nutrition coaching, and free telepsychology for employees and dependents. Extended maternity and paternity leave, pregnancy support, and childcare assistance for eligible employees. Remote-work support, including a home-office equipment allowance of R$1,500 and a monthly home-office allowance of R$250. Meal and food benefits of R$988 through Alelo Tudo or flexible benefits. Access to coworking spaces throughout Brazil through a Woba partnership. Private pension contribution option, with the possibility of allocating R$50 from the home-office allowance. Career development through internal mobility programs and a dedicated learning hub. Participation in company results. Opportunities to collaborate with colleagues across multiple countries in an informal, international, and knowledge-sharing environment. Inclusive culture centered on autonomy, innovation, transparency, collaboration, and respect. Opportunity to work with cutting-edge AI technologies and contribute to the development of enterprise-grade autonomous agents. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1