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CI&T

Senior Backend AI Developer

CI&T

. Develop and enhance the core components of the AI Platform, including model governance, providers, tenants, and usage policies .

Posted 10/14/2026full-timeBrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in backend development with Kotlin/Java and Node.js, focusing on distributed systems, APIs, and cloud integrations. Proficient in enhancing AI platform components, ensuring performance, scalability, and reliability while collaborating with cross-functional teams.

Highest-signal resume keywords
Backend Development with Kotlin/JavaDistributed Systems DesignPublic Cloud IntegrationObservability and TroubleshootingLLM Operations Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
KotlinJavaNode.jsAPIsDistributed SystemsDockerKubernetesCI/CD PipelinesPostgreSQLMongoDB
Soft Skills
CollaborationProblem-SolvingTechnical Leadership
Tools & Technologies
LiteLLMAzure OpenAIAWS BedrockGCP Vertex AILangChainLangGraphSemantic KernelOpenTelemetryPrometheusGrafana
Industry Keywords
Model GovernanceLoad BalancingFallback MechanismsAI ApplicationsRAG ArchitecturesMCP (Model Context Protocol)GuardrailsSecurityAccess ControlAI Gateway

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformGrafanaJavaJavaScriptKotlinKubernetesMongoDBNode.jsPostgresPrometheus

About the role

Key responsibilities & impact
  • Develop and enhance the core components of the AI Platform, including model governance, providers, tenants, and usage policies
  • Design and enhance routing, load balancing, fallback, and LLM usage and cost-control mechanisms
  • Develop integrations with LiteLLM and various model providers in public cloud environments
  • Enhance APIs, services, and observability mechanisms, ensuring the platform’s performance, availability, scalability, and reliability
  • Investigate incidents and complex production issues, identifying root causes and proposing structural improvements
  • Participate in architectural decisions by evaluating trade-offs, technical risks, and impacts on the platform’s various consuming products
  • Serve as a technical reference for the team, contributing to engineering standards, best practices, and the professional development of team members
  • Collaborate with platform-consuming teams to refine solutions and resolve integration issues

Requirements

What you’ll need
  • Strong experience in backend development with Kotlin/Java and/or Node.js
  • Experience designing and developing distributed systems, APIs, and highly available services
  • Experience with public cloud, Docker, Kubernetes, and CI/CD pipelines
  • Knowledge of LLMs and generative AI application architectures
  • Experience integrating models using at least one major cloud LLM provider, such as Azure OpenAI, Azure AI Foundry, AWS Bedrock, or GCP Vertex AI
  • Knowledge of mechanisms related to LLM operations, such as routing, fallback, streaming, and usage management
  • Experience with observability and troubleshooting distributed systems using metrics, logs, and traces
  • Knowledge of PostgreSQL and/or MongoDB
  • Knowledge of key concepts related to RAG, AI Agents, and Agentic AI
  • Experience making technical and architectural decisions and serving as a technical reference in highly complex environments
  • Hands-on experience with LiteLLM and AI Gateway, LLM Gateway, or Model Gateway architectures
  • Experience with multiple LLM providers in production environments
  • Knowledge of MCP (Model Context Protocol)
  • Experience with LangChain, LangGraph, Semantic Kernel, or similar frameworks
  • Knowledge of LLM observability using tools such as Langfuse, OpenTelemetry, Prometheus, or Grafana
  • Knowledge of vector databases, semantic search, and RAG architectures
  • Experience with guardrails, security, and access control in AI applications
  • Experience with Helm, GitOps, or developing tools and agents for AI coding

Benefits

Comp & perks
  • Health and dental insurance
  • Meal and food allowances
  • Childcare assistance
  • Extended parental leave
  • Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) and TotalPass
  • Profit-Sharing and Results-Based Bonus (PLR)
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Free online platform dedicated to promoting physical and mental health and well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online learning platforms
  • Language-learning platform
  • Support and accommodations for people with disabilities
  • Dedicated Health and Well-being team
  • Inclusion specialists and affinity groups