A remote Software Development role at CI&T.
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Original listing text, shown exactly as published by the company.
Build 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.
Experience 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.
Differentials
Experience 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.
CI&T
Software Development
244 open roles on Sydicom
CI&T is a Brazilian information technology and software development company.
Source: Wikipedia
