1,577 jobs for "Systems Reliability Engineer"

Infosys Brazil is looking for professionals with a Senior AI Engineer | Generative AI & AWS profile to join our team.

Required Qualifications

Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field.
Strong knowledge of Python and AI/ML engineering.
Experience designing, developing, and deploying AI and machine learning solutions in production environments.
Knowledge of Generative AI, Large Language Models, LangChain, LangGraph, vector search, and Retrieval-Augmented Generation.
Experience with AWS cloud services, particularly Amazon Bedrock and Amazon SageMaker.
Knowledge of Databricks, data pipelines, feature engineering, model evaluation, deployment, and monitoring.
Understanding of MLOps practices, including model versioning, CI/CD pipelines, automated retraining, and production monitoring.
Experience translating business requirements into scalable technical solutions.
Advanced English proficiency for collaboration with international stakeholders and global teams.

Preferred Qualifications

Experience designing and deploying autonomous AI agents.
Knowledge of workflow orchestration platforms such as n8n or similar tools.
Experience with GitHub projects and reusable AI components.
Knowledge of backend engineering for AI applications.
Experience developing proofs of concept and minimum viable products.
Familiarity with performance, latency, reliability, and cost optimization for production AI systems.
Knowledge of emerging AI technologies and current developments in the AI and LLM ecosystem.

Roles and Responsibilities

Design, develop, and deploy production-ready AI and machine learning models.
Build autonomous AI agents capable of performing complex business tasks.
Manage the complete machine learning lifecycle, from data pipeline design to deployment and monitoring.
Develop Generative AI and RAG-based solutions using modern frameworks and cloud services.
Implement MLOps practices to improve scalability, reliability, and maintainability.
Collaborate with business and technical teams to define requirements and success metrics.
Lead proofs of concept and MVPs to validate the feasibility of new AI solutions.
Optimize model performance, response time, reliability, and infrastructure costs.
Conduct code reviews and contribute to reusable AI components and engineering standards.
Support the adoption of Data Science and Artificial Intelligence solutions across the organization.

Additional Information
Employment Type

Full-time, permanent position (CLT).

Work Model

Hybrid.

Benefits

Transportation allowance.
Meal voucher.
Childcare assistance.
Life insurance.
Funeral assistance.
Medical insurance.
Dental insurance.

Career Opportunities

Opportunity to work on global projects and international environments.
Exposure to Software Quality Assurance and project governance practices.
Collaboration with multicultural and cross-functional teams.
Professional development within a global technology organization.

Language Requirements

Advanced English proficiency required for interaction with international teams and stakeholders.

About Infosys

https://www.infosys.com

Size: 10,000+ employees
Industry: Consulting

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