About the role

AI Specialist at M. Dias Branco building multi-agent solutions with focus on data integration and business optimization. Responsible for evolving and maintaining production systems and developing APIs.

Responsibilities

Evolve and maintain multi-agent systems in production, implementing new features and optimizing existing architectures;
Integrate agents with analytical pipelines, replicating data analysis workflows and connecting to statistical models;
Develop APIs (FastAPI) to serve agents in production environments with high availability and performance;
Implement evaluation strategies (evals) to ensure the quality and consistency of agents' responses over time;
Ensure observability and governance through monitoring, logging, and LLMOps practices applied to agentic systems;
Collaborate with business teams to translate requirements into scalable technical solutions;
Build and maintain CI/CD pipelines for automated deployment of agents in cloud environments (AWS).

Bachelor's degree in Data Science, Statistics, Engineering, Mathematics, Computer Science, or related fields;
Completed postgraduate degree in the area;
Proven experience building and deploying AI agents in production environments;
Context Engineering: techniques for context design and optimization for LLMs;
RAG (Retrieval-Augmented Generation) for context enrichment;
Evals: methodologies and tools for quality evaluation in agentic AI systems;
Integration with AWS Bedrock and other LLM providers;
Advanced Python for systems development;
FastAPI for building APIs;
Clean code practices, automated testing, and technical documentation;
AWS: Lambda, EC2, ECS, EKS;
Databases: Redis, PostgreSQL, DynamoDB;
Docker for application containerization;
Concepts of distributed architecture and scalability;
Azure DevOps for CI/CD pipelines;
Git/GitHub for version control and collaboration;
Experience with deploying and monitoring systems in production;
Observability practices (logs, metrics, alerts);
Python for data manipulation and processing;
SQL for queries and integrations with relational databases;
Snowflake for analytical queries;
Ability to integrate with existing data pipelines;
Experience with agent frameworks: LangGraph, LangChain, CrewAI, Pydantic AI, Strands, or similar;
Knowledge of Revenue Management (price elasticity, demand analysis, optimization);
Participation in large-scale generative AI strategic projects.

Health plan with the option to include dependents under special conditions.
Accessible dental plan with the option to include dependents under special conditions.
Wellhub (formerly Gympass) for access to gyms, personal trainers, and health apps.
Program for support of chronic conditions.
Psychological counseling.
Birthday leave: take time off to celebrate your day.
Hybrid work*: Remote work up to two days per week.
Flexible hours*: Start time between 7:00 and 9:00.
Extended paternity leave: 20 days to support the arrival of a new family member.
Hybrid model after maternity leave*: Initiative to facilitate the transition back to work for employees returning from maternity leave.
Guidance program for pregnant employees and for the baby's first year.
Life insurance: protection for you and your dependents.
Corporate University with continuous training programs aligned with best learning methods.
Unpaid leave of up to 12 months: a break to dedicate time to learning and professional development.
Profit Sharing (PLR): recognition for achieving established targets.
Grocery basket: provided via an electronic card.
Meals: on-site cafeteria or meal voucher (depending on the unit and area).
Transportation: commuter voucher or company shuttle (depending on the unit and area).
Exclusive discounts for you and your family: benefits on products and services from partner companies, including universities, language courses, multi-brand stores, pharmacies, pet plans, optical shops, and more!