Artificial Intelligence Engineer

Artificial Intelligence Engineer - Detalhes da Vaga. ● This person will work embedded within strategic client projects, helping companies across industries such as banking, insurance, and retail successfully adopt and operationalize Generative AI solutions in real production environments. ●The challenge involves building and scaling AI-powered solutions such as RAG pipelines, AI agents, and intelligent automations while enabling client teams to operate autonomously and evolve their engineering capabilities. ●We are looking for someone hands-on, highly technical, and passionate about applying AI to solve real business and engineering problems at scale. ●ResponsibilitiesBuild and operationalize Generative AI solutions within client projects, ensuring value delivery from the beginning of the engagement. ●Develop and evolve RAG pipelines, AI agents, intelligent automations, and integrations with LLMs in production environments. ●Design and implement AI-assisted engineering solutions to improve software development lifecycle efficiency and quality. ●Support technical discovery, architecture definition, and technical decision-making across projects. ●Enable and mentor client engineering teams, accelerating adoption of AI solutions and modern engineering practices. ●Collaborate with engagement managers, technical teams, and stakeholders to ensure alignment between technical implementation and business goals. ●Evaluate technical contexts, constraints, and existing architectures at the beginning of engagements. ●Build proof of concepts (POCs) and validate technical approaches before scaling implementations. ●Contribute to software architecture, APIs, integrations, distributed systems, and cloud-native environments. ●Create and maintain clear technical documentation and operational guidelines. ●Requirements for this challengeExperience in software engineering and modern distributed systems. ●Hands-on experience with Generative AI solutions in production environments. ●Experience building RAG pipelines, embeddings, vector databases, and prompt engineering solutions. ●Experience integrating and consuming LLM APIs such as OpenAI, Claude, Gemini, or similar. ●Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar solutions. ●Experience building or integrating AI agents and AI-assisted development workflows. ●Knowledge of backend development using Node. ●Js, Python, Java, . ●NET, or similar languages. ●Knowledge of APIs, REST services, contracts, and versioning. ●Experience with distributed systems, microservices, and event-driven architectures. ●Experience with relational and non-relational databases. ●Experience with cloud platforms such as Azure, AWS, or GCP, including AI services like Azure OpenAI, AWS Bedrock, or Vertex AI. ●Knowledge of DevOps practices, CI/CD, testing, and automation. ●Experience with unit, integration, and end-to-end testing. ●Ability to work across multiple client engagements and contexts simultaneously. ●Advanced English communication skills. ●Strong communication, collaboration, and technical influence skills. ●DifferentialsExperience with multi-agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, or similar. ●Experience with AI-assisted modernization and legacy migration strategies. ●Knowledge of Spec-Driven Development, Contract-First, or similar engineering approaches. ●Experience with Kubernetes, containers, and infrastructure automation. ●Knowledge of observability, security, and performance for AI systems in production. ●Experience working in consulting environments or embedded client delivery models. ●Experience enabling teams and scaling AI adoption across engineering organizations. ●. Requisitos para participar do processo. ● . O que oferecemos.