2 months ago
Brazil (city not specified)Senior
Responsibilities
- Design AI solution architectures addressing scalability, performance, security, governance, cost, and sustainability.
- Build AI-powered products and platforms and deliver reliable production deployments.
- Develop intelligent agents, multi-agent systems, planning and reasoning workflows, tool usage, and data-source integrations.
- Build RAG architectures using embeddings, vector databases, GraphRAG, hybrid search, reranking, and grounding techniques.
- Integrate AI solutions with enterprise systems, data platforms, and business-critical applications.
- Evaluate LLMs, SLMs, multimodal models, and other AI technology components.
- Define AI quality and evaluation metrics and implement observability and monitoring for performance, cost, latency, security, usage, and model behavior.
- Establish LLMOps practices and pipelines for development, testing, versioning, deployment, and monitoring.
- Provide technical leadership, influence architecture decisions, promote engineering practices, and contribute to the evolution of the AI practice.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field.
- Advanced English proficiency for effective communication in a global environment.
- Strong experience developing and deploying Generative AI solutions in production.
- Experience designing architectures for complex, business-critical enterprise solutions and technically leading multidisciplinary initiatives.
- Advanced proficiency in Python.
- Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or equivalent frameworks.
- Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI platforms.
- Advanced knowledge of RAG architectures, embeddings, and semantic search.
- Experience with vector databases such as Pinecone, Weaviate, Qdrant, Milvus, or equivalent technologies.
- Experience developing APIs and microservices and working with Azure, AWS, or GCP.
- Knowledge of observability, monitoring, and reliability engineering practices.
- Preferred experience includes multi-client AI platforms, production multi-agent architectures, fine-tuning, PEFT, LoRA, Knowledge Graphs, GraphRAG, automated LLM evaluation, MLOps, LLMOps, Databricks, Snowflake, technical communities, open source, AI publications, and advanced AI, cloud architecture, or software engineering certifications.
Benefits
- Health and dental insurance, meal and food allowance, childcare assistance, extended paternity leave, life insurance, and profit sharing/results participation.
- Gym, health, wellness, physical, mental, and overall well-being partnerships and platforms through Wellhub, Gympass, and TotalPass.
- Continuous learning through CI&T University, online learning partnerships, language learning, a discount club, and parenting courses.
- Inclusion support, workplace accommodations, health and well-being specialists, and affinity groups.
Tech Stack
Categories
About CI&T
CI&T is a public IT services firm that builds and runs digital products for large enterprises, combining consulting with end-to-end software engineering. It delivers AI deployment, cloud modernization, data platforms, mobile/web development, and systems integration through project-based and managed engagements. Founded in 1995 and headquartered in New York, it operates globally and is listed on the NYSE (CINT).