
Specialist I – Generative AI and Agent Engineering, Direct Sales
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Brazil.
• Join the Agent Platform team, which serves as a centralized hub for the creation, management, and operation of LLM agents across Grupo Boticário’s various business channels.
• Develop an agent development platform that empowers functional teams to effectively utilize Generative AI independently.
• Design and execute robust, scalable architectures for autonomous agents utilizing LLMs and Generative AI methodologies.
• Create APIs using Django REST Framework and implement event-driven microservices for background operations.
• Model and manage both relational and non-relational databases to handle agent data efficiently.
• Develop reasoning logic for agents to facilitate planning, task execution, tool interaction, and data-driven decision-making.
• Experiment with and implement Retrieval-Augmented Generation (RAG) and agent tools.
• Participate in the entire lifecycle of Generative AI solutions, encompassing automation, monitoring, and observability.
• Collaborate with engineers, engage in code reviews, and contribute to maintaining best practices and technical excellence.
• Work alongside business teams on proofs of concept, prototypes, and pilot projects that involve Generative AI and agents.
• Demonstrated hands-on experience in developing and deploying Large Language Model (LLM) solutions within production environments.
• Proficiency in Python programming.
• Familiarity with Django REST Framework.
• Understanding of frameworks for production LLM applications, such as Agno, LangChain, or LlamaIndex.
• Experience in designing and integrating AI systems.
• Knowledge of RAG, embeddings, vector databases, and data ingestion techniques.
• Experience with contract-based tool invocation.
• Proficiency in APIs, asynchronous tasks, testing, code reviews, and contract evolution.
• Ability to design resilient solutions and tackle complex challenges.
• Familiarity with platform concepts such as multi-tenancy, authentication, and observability.
• Strong communication skills to convey technical concepts clearly and collaborate effectively with engineering teams.
• Preferred qualifications include experience with agent evaluation, quality metrics, conversation analytics, responsible AI practices, guardrails, prompt/tool security, GCP, Azure, AWS, multi-agent systems, structured output, multimodality, inference optimization, Apache Spark, BigQuery, Airflow, Kubeflow, Vertex AI, and fine-tuning open-source LLMs.
• Flexible medical and dental insurance plans.
• Assistance with prescription medications and health allowance for family members.
• Complimentary psychotherapy sessions and 24/7 telemedicine services.
• Ongoing programs for prevention, mental health support, and vaccinations.
• Meal Voucher (or access to an on-site restaurant) along with a Food Voucher, including a special Christmas allowance.
• Discounts of up to 40% on various brands within our ecosystem.
• Access to Gympass/TotalPass memberships for gyms and fitness studios.
• Home office allowance to support hybrid and remote work setups.
• Paid day off for birthdays.
• Pet health insurance, partner benefits, and travel/accommodation assistance.
• Extended parental leave with 180 days for mothers and 120 days for fathers.
• Support for parents of children with special needs and childcare assistance.
• Allowance for school supplies and child nutrition credits.
• Dedicated legal, psychological, and social support resources.
• Private pension plan and life insurance coverage.
• Bereavement support following the loss of parents and payroll-deducted loans.
• Transportation allowance and parking options based on work arrangements.
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