CI&T

CI&T

CI&T is a global digital technology agency empowering agile growth for leading companies through advanced technologies with a team of 2000 experts worldwide.

Internet Software & Services
5K-10K
Founded 1995

Description

  • 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 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.
  • Collaborate with Data, Analytics, Platform Engineering, and business stakeholders to deliver scalable AI solutions aligned with business goals.

Requirements

  • Advanced/fluent English (C1 or higher) is mandatory.
  • Experience working with international clients and global teams.
  • Strong hands-on experience with Automation, Generative AI, LLMs, RAG, and agent-based architectures.
  • Proficiency in Python and software engineering best practices.
  • Experience designing secure, scalable, and production-ready AI systems.
  • Strong 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 Azure, AWS, or GCP, especially for deploying Generative AI solutions, is preferred.
  • Familiarity with Databricks, Vertex AI, Azure OpenAI, Amazon Bedrock, or similar enterprise AI platforms is preferred.
  • Experience with Docker, Kubernetes, and containerized AI workloads is preferred.
  • Knowledge of MLOps and AI/ML pipeline automation is preferred.
  • Understanding of AI security, governance, compliance, and data privacy regulations is preferred.
  • Certifications related to Generative AI, Machine Learning, Cloud, or AI Engineering are preferred.

Benefits

  • Health and dental insurance.
  • Meal and food allowance.
  • Childcare assistance.
  • Extended paternity leave.
  • Gym and wellness partnerships through Wellhub (Gympass) and TotalPass.
  • Profit Sharing and Results Participation (PLR).
  • Life insurance.
  • Continuous learning platform (CI&T University).
  • Free online platform for physical, mental, and overall well-being support.
  • Language learning platform.

Interested in this position?

Apply directly on the company website

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