AI Engineer – Specialist II
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Job Description
AI Specialist developing generative AI solutions within corporate environments at Grupo Boticário. Designing and implementing AI agent architectures and RAG pipelines for accurate, reliable outputs.
Responsibilities:
- The GenAI Platform team at Grupo Boticário advances Agentes GB and the corporate generative AI ecosystem, enabling business areas to create and operate AI agents with governance, security, and controlled costs.
- Design and implement agentive solutions in a corporate environment — orchestration of LLMs, reasoning flows, use of external tools, and integration with company APIs and data.
- Design Retrieval-Augmented Generation (RAG) pipelines with indexing, retrieval, and context enrichment to increase accuracy and reduce hallucinations.
- Enhance agents' ability to query knowledge bases, analytical data, and corporate systems with appropriate authentication and access control.
- Ensure observability, inference cost management, model versioning, and security in cloud-based LLM applications.
- Contribute to Agentes GB, context hubs for models, and internal SDKs; support consumer squads in adopting self-service agents.
- Serve as a technical reference for 1 to 3 developers — architectural decisions, code reviews, mentorship, and alignment with management and product.
Requirements:
- Generative AI experience: Experience in designing, developing, and operating LLM-based applications in production, preferably in corporate environments.
- Advanced fluency in Python and mastery of agent orchestration ecosystems (e.g., LangChain, LangGraph, LlamaIndex).
- Experience with embeddings, chunking, and semantic search in vector databases or equivalent solutions.
- Experience with cloud providers (GCP or AWS), managed AI services (Vertex AI, Bedrock), and API integration with corporate authentication (OAuth2, OIDC).
- Ability to choose between RAG, prompt engineering, and fine-tuning, focusing on latency, cost, and reliability.
- Minimum experience: 3 to 5 years in software, with experience in generative AI or LLMs.
- Plus: Experience with MCP (Model Context Protocol) or context architectures for LLMs.
- Experience with multi-tenant or self-service platforms for agent creation.
- AI FinOps — monitoring and optimization of inference costs.
- Integration of agents into corporate channels (Slack, Teams, or similar).
- Familiarity with React/Next.js and active tracking of innovations in agents and GenAI.
- Market-aware profile: naturally curious and always seeking up-to-date knowledge on developments in the AI field.
Benefits:
- Your health is a priority here
- Medical and dental plans
- Medication assistance
- Health allowance for family members
- Free psychotherapy sessions
- Telemedicine and second medical opinion
- Free flu vaccine
- Health care programs
- To support your nutrition
- Meal voucher or local restaurant allowance (depending on work model)
- Food allowance
- Christmas food allowance
- Ensuring well-being and quality of life in all aspects of life
- Gym and fitness studio plan
- Home office allowance (hybrid and remote work models)
- Pet health plan
- Birthday day off
- Up to 40% discount on our products
- Employee membership program (agreements and partnerships, multi-brand store, Totalpass gyms, courses and more!)
- Travel and accommodation program
- For family, our most precious asset
- Childcare assistance
- Child nutrition credit
- Nanny assistance
- School supplies assistance
- Legal, psychological, and social counseling
- Support for non-traditional parents
- Extended parental leave (180 days for mothers and 120 days for fathers)
- Mobility for your on-site commute
- Transportation voucher and parking (hybrid and on-site models)
- Financial protection for peace of mind
- Life insurance
- Assistance in the event of parents' death
- Private pension plan
- Payroll-deductible loans
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