Senior AI/ML Engineer developing and deploying machine learning models for ADAS technology. Leading technical efforts and collaborating with diverse teams to enhance map content.
About the role
- Develop and deploy generative AI solutions, collaborating with business teams at CI&T. Optimize workflows and maintain infrastructure for generative AI systems in São Paulo.
Responsibilities
- You will be responsible for developing and deploying generative AI solutions.
- Your main mission will be to design and orchestrate agent-based AI workflows in collaboration with business teams, ensuring solutions meet the specific needs of different teams.
- You will work on prompt optimization, implementation of agent pipelines, and building customized knowledge bases to support use cases.
- You will also monitor solution performance, define evaluation metrics, propose continuous improvements, and work closely with more senior engineers and data scientists on solution evolution.
- Additionally, this role involves direct collaboration in maintaining established technical infrastructure (such as APIs, containers, and CI/CD), contributing to the robustness, scalability, and reliability of generative AI systems.
Requirements
- Strong experience in MLE/MLOps/Machine Learning engineering (minimum ~3 years in the field);
- Hands-on experience deploying agent-based AI solutions, with at least 6 months of direct involvement in projects using generative AI and LLMs;
- Knowledge in building and tuning prompts for generative AI, constructing agentic RAG solutions using low-code tools, analyzing model performance with LLM observability tools, and performing quantitative and qualitative evaluation of RAG and LLM-based solutions;
- Experience with Python, API development, CI/CD pipelines, and containerized solutions.
- WILL BE A PLUS:
- Knowledge of conversational AI;
- Familiarity with programming languages such as Java/Kotlin/JVM;
- Experience with GCP;
- Experience with business rules;
- Basic knowledge of infrastructure (Kubernetes, Terraform).
Benefits
- Health and dental insurance;
- Meal and food allowances;
- Childcare assistance;
- Extended parental leave;
- Partnerships with gyms and health and wellness professionals via Wellhub (Gympass) and TotalPass;
- Profit Sharing (PLR);
- Life insurance;
- Continuous learning platform (CI&T University);
- Employee discount club;
- Free online platform dedicated to physical and mental health and wellbeing;
- Pregnancy and responsible parenthood course;
- Partnerships with online course platforms;
- Language learning platform;
- And many others
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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