You will play a pivotal part in designing, refining, and evaluating strategies to optimize the performance of Large Language Models (LLMs) to solve real business challenges, and collaborate with cross-functional teams to build and maintain cutting-edge AI agents and LLM-enabled applications.
The company is looking for a Midlevel AI Developer to join a Discovery team of AI Agents. This team is dedicated to innovation, focusing on Artificial Intelligence, alert engineering and testing of new technologies. You will collaborate to create MVPs and pilots that validate business hypotheses and directly impact the future of clients' products.
As an AI-first engineer at CI&T, you will use Generative AI as a foundation of software engineering, applying AI across the full Product Development Lifecycle. You will design and build AI Agents, apply advanced prompting techniques, and implement architectures like RAG, ReAct, and Chain of Thought. You will also leverage short and long-term memory, MCP, A2A, ACP, and Agentic AI patterns.
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications, serving as a bridge between core product and clients’ engineering teams. Solve complex problems and securely integrate AI into critical sectors. Build and ship features for North, develop autonomous agents, and lead end-to-end deployment in private cloud and on-premises environments.
You will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries. We are seeking a skilled AI Engineer to design, develop, and deploy AI agents for various business applications. The ideal candidate has hands-on experience in prompt engineering, deploying AI/LLM-based solutions, and orchestrating multiple AI agents to work collaboratively.
The Principal AI Engineer will design, build, and operate the core ML/AI systems that power self-service, agent assist, knowledge automation, routing, summarization, and safety/observability tooling to deliver improvements in CSAT, deflection, MTTR and agent productivity. You will lead the technical vision and delivery for AI systems across the Customer Success & Support portfolio.