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

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, tool calls, model performance, latency, and cost optimization.
• - Create automated evaluation and testing frameworks for AI agents, including golden datasets, regression tests, hallucination detection, and quality gates.
• - Design human-in-the-loop approval workflows for sensitive or high-risk operations.
• - Manage prompt versioning, model routing, fallback strategies, and token/cost optimization for enterprise AI systems.
• - Collaborate with Data, Analytics, Platform Engineering, and business stakeholders to deliver scalable AI solutions aligned with business goals.

• 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 autonomously in complex, fast-paced, and ambiguous environments.
• - Experience with Docker, Kubernetes, and containerized AI workloads.

• 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.

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