Analyze and evolve conversational AI experiences, ensuring coherent responses, correct interpretation of intents, and identifying necessary adjustments in prompts, flows, or the knowledge base.
Understand and operate agent architecture.
Analyze dynamic execution flows of agents, including steps, chain-of-thought, and call order.
Understand how LangChain works.
Write and review technical prompts (Prompt Engineering).
Analyze logs and traces provided by LangChain.
Use observability tools to analyze agent execution step by step (inputs, outputs, and decision chain).
Monitor inappropriate behaviors, identify root causes, and propose corrections.
Analyze API integrations, interpreting requests, responses, and any failures.
Perform technical curation of the knowledge base.
Requirements
Minimum of 4 years of experience in IT.
Ability to develop, read, and adapt Python code used by agents.
Experience with API integrations.
Experience with agent architecture.
Experience with Prompt Engineering.
Knowledge of LangChain.
Knowledge of agent observability.
Desired:
Experience with knowledge bases.
Bachelor's degree completed (Information Systems, Systems Analysis, or related fields).
Understanding of content curation, versioning, and structuring.
Tech Stack
Python
Benefits
Private health insurance (Amil).
Dental insurance.
Meal allowance: R$ 30.00 per business day paid to a Flash card.
Food voucher: R$ 157.50 per month paid to a Flash card.