Generative AI Engineer: RAG & Agentic Solutions

Remote Jobs; United States; Remote; USD 110,000 - 190,000; Full time

Benefits offered by this job

Health and dental insurance

Meal allowance

Childcare assistance

Extended paternity leave

Wellbeing program

Job summary

CI&T is seeking a Mid-Level AI Engineer to help build Generative AI and Agentic AI solutions for global clients. You will work with senior engineers, architects, and product teams to develop production-ready AI applications, including RAG systems, AI agents, and enterprise integrations.

The role emphasizes hands-on Python development, strong software design, and collaboration across distributed teams. You’ll contribute to CI/CD, testing, and observability within production AI apps.

Qualifications

• Must have strong Python development skills and solid software engineering fundamentals.
• Familiarity with Generative AI and LLM-based application development.
• Experience with RAG, AI agents, and knowledge retrieval.
• Ability to integrate AI applications with APIs, databases, and cloud services.
• Working knowledge of Docker, CI/CD, testing, and version control.

Responsibilities

• Develop and evolve Generative AI and agentic applications.
• Build RAG-based solutions and enterprise knowledge retrieval components.
• Implement AI agents that interact with tools, APIs, databases, and enterprise systems.
• Work with orchestration patterns and Human-in-the-Loop.

Skills

Python development

Software engineering

API design

LLM integration

RAG workflows

CI/CD

English communication

Tools

LangGraph

LangChain

Semantic Kernel

LlamaIndex

OpenAI Agents SDK

Docker

Job description

CI&T is seeking a Mid-Level AI Engineer to help build Generative AI and Agentic AI solutions for global clients. You will work with senior engineers, architects, and product teams to develop production-ready AI applications, including RAG systems, AI agents, and enterprise integrations.

The role emphasizes hands-on Python development, strong software design, and collaboration across distributed teams. You’ll contribute to CI/CD, testing, and observability within production AI apps.