At CI&T, we are looking for a Senior 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.

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.
- Experience with Docker, Kubernetes, and containerized AI workloads.
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.