[Job - 31015] Master Software Developer ( AI Generative)

Другое

• At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
• With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
• We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
• At CI&T, we are looking for a Master Software Developer to join our global team and help design, build, and scale advanced Generative AI and Agentic AI solutions for enterprise clients.
• This role is ideal for a professional with deep hands-on experience in Generative AI, LLMs, RAG, and agent-based architectures, combined with strong software engineering, cloud, and production-grade AI platform expertise.
• You will work on the development of secure, scalable, observable, and reliable AI applications that support complex business workflows and large-scale enterprise environments.
• Key Responsibilities - Design, develop, and maintain GenAI and Agentic AI applications for production environments. - Build customizable agent solutions using frameworks such as LangChain, DeepAgents, Strands AI, or similar Agent SDKs. - Develop production-grade Python tooling and reusable AI components. - Implement RAG pipelines, external knowledge integrations, memory management, and context orchestration strategies. - Design secure sandboxed execution environments for agent tooling, including permissions, secrets management, network restrictions, and auditability. - Build and maintain MCP (Multi-Cloud Platform) tooling, including authentication, schema design, versioning, retries, and safe execution boundaries. - Implement observability, tracing, logging, and monitoring for prompts, too
• Required Qualifications - Advanced / Fluent English (C1 or higher),  mandatory. - Experience working with international clients and global teams. - Strong hands-on experience with Automation, Generative AI, LLMs, RAG, and agent-based architectures (E.g.: Claude Code, Codex, Cursor, Windsurf) - Proficiency in Python and software engineering best practices. - Experience designing secure, scalable, and production-ready AI systems. - Solid understanding of AI model evaluation, deployment, observability, and operational reliability. - Experience with agent execution pipelines, CI/CD integrations, backend AI workflows, and automated orchestration. - Strong knowledge of prompt engineering, context management, hallucination mitigation, and knowledge freshness strategies. - Ability to work aut
• Nice to Have - Experience with Azure, AWS, or GCP, especially deploying Generative AI solutions in cloud environments. - Familiarity with Databricks, Vertex AI, Azure OpenAI, Amazon Bedrock, or similar enterprise AI platforms. - Knowledge of MLOps and AI/ML pipeline automation. - Understanding of AI security, governance, compliance, and data privacy regulations. - Certifications related to Generative AI, Machine Learning, Cloud, or AI Engineering.