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Specialist I – Generative AI and Agent Engineering, Direct Sales
Grupo Boticário. Work on the Agent Platform team, a centralized platform for creating, managing, and running LLM agents across Grupo Boticário’s business channels .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying Large Language Model (LLM) solutions, with a strong focus on building scalable architectures and APIs using Python and Django REST Framework. Proficient in collaborating with cross-functional teams to implement Generative AI solutions and ensure technical quality throughout the development lifecycle.
Highest-signal resume keywords
Large Language Model (LLM) SolutionsPython ProgrammingDjango REST FrameworkGenerative AI TechniquesAPI Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Large Language Model (LLM) DevelopmentPythonDjango REST FrameworkAPI DevelopmentEvent-Driven MicroservicesRelational DatabasesNon-Relational DatabasesRAG TechniquesData IngestionAsynchronous Jobs
Soft Skills
Clear CommunicationCollaborationProblem Solving
Tools & Technologies
GCPAzureAWSApache SparkBigQueryAirflowKubeflowVertex AI
Industry Keywords
Generative AIAgent DevelopmentMulti-TenancyObservabilityContract-Based Tool Calling
Tech Stack
Tools & technologiesAirflowApacheAWSAzureBigQueryDjangoGoogle Cloud PlatformPythonSpark
About the role
Key responsibilities & impact- Work on the Agent Platform team, a centralized platform for creating, managing, and running LLM agents across Grupo Boticário’s business channels
- Build an agent development platform that enables functional teams to independently leverage Generative AI
- Design and implement robust, scalable architectures for autonomous agents using LLMs and Generative AI techniques
- Develop APIs with Django REST Framework and event-driven microservices for background processes
- Model and interact with relational and non-relational databases to manage agent data
- Develop agent reasoning logic for planning, task execution, tool interaction, and data-driven decision-making
- Experiment with and implement RAG and agent tools
- Contribute to the complete lifecycle of Generative AI solutions, including automation, monitoring, and observability
- Collaborate with engineers, participate in code reviews, and contribute to best practices and technical quality
- Work with business teams on proofs of concept, prototypes, and pilots involving Generative AI and agents
Requirements
What you’ll need- Strong hands-on experience developing and deploying Large Language Model (LLM) solutions in production environments
- Fluency in Python
- Experience with Django REST Framework
- Knowledge of frameworks for production LLM applications, such as Agno, LangChain, or LlamaIndex
- Experience designing and integrating AI systems
- Knowledge of RAG, embeddings, vector databases, and data ingestion
- Experience with contract-based tool calling
- Experience with APIs, asynchronous jobs, testing, code reviews, and contract evolution
- Ability to design robust solutions and solve highly complex problems
- Knowledge of platform concepts such as multi-tenancy, authentication, and observability
- Ability to communicate technical concepts clearly and collaborate with engineering teams
- Preferred: agent evaluation, quality metrics, conversation analytics, responsible AI, 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
Benefits
Comp & perks- Flexible medical and dental plans
- Prescription drug assistance and health allowance for family members
- Free psychotherapy sessions and 24/7 telemedicine
- Ongoing prevention, mental health, and vaccination programs
- Meal Voucher (or on-site restaurant) and Food Voucher (with an additional Christmas allowance)
- Discounts of up to 40% on brands across our ecosystem
- Gympass/TotalPass membership for gyms and sports studios
- Home office allowance for hybrid and remote work arrangements
- Birthday day off
- Pet health insurance, partner benefits, and travel/accommodation programs
- Extended parental leave (180 days for mothers and 120 days for fathers)
- Support for parents of children with special needs and childcare assistance
- School supplies allowance and child nutrition credit
- Dedicated legal, psychological, and social support
- Private pension plan and life insurance
- Bereavement support following the loss of parents and payroll-deducted loans
- Transportation allowance and parking (according to the work arrangement)