Senior AI Engineer (Generative AI)

Location: São Paulo, Brazil; minimum 3 days per week working in person at a Bain office or client location; travel required based on project needs

Company

Bain & Company is a consulting firm whose AI, Insights & Solutions team develops data-driven strategies and artificial intelligence solutions for clients.

What you will do

• Build and deploy end-to-end generative AI systems, agentic workflows, and production-grade AI applications.
• Develop RAG, fine-tuning, embedding, vector, graph, and keyword retrieval pipelines.
• Implement tool use, function calling, orchestration, memory architectures, and separation of concerns for agentic systems.
• Contribute across model experimentation, evaluation design, and production deployment.
• Build APIs, microservices, CI/CD pipelines, cloud-native deployments, and GenAIOps processes with observability and reliability.
• Design safety guardrails, fallbacks, human-in-the-loop workflows, and evaluation frameworks for hallucination, relevance, latency, throughput, and cost.

Requirements

• 2–4+ years of hands-on experience in software engineering, ML engineering, or applied AI roles.
• Experience shipping generative AI features or systems end-to-end, from prototyping through production.
• Strong prompt engineering and context engineering skills.
• Working knowledge of evaluation design and data-labeling strategies for LLM applications.
• Experience with RAG architectures and agentic patterns including tool use, routing, and memory management.
• Knowledge of orchestration frameworks, vector and graph databases, and model and API ecosystems.
• Strong software engineering and system design foundation, including production-grade deployment.
• Familiarity with cost and latency trade-offs for LLM workloads, plus clear communication with non-technical collaborators.
• Comfort operating in high-ambiguity, collaborative environments.

Nice to have

• Exposure to hybrid or graph-based retrieval approaches.
• Experience in client-facing consulting or enterprise transformation environments.

Culture & Benefits

• Permanent full-time employment.
• Collaborative work with engineering, product, data science, infrastructure, consultants, and clients.
• Supportive and inclusive environment focused on professional and personal development.
• Work includes regular in-person collaboration and project-based travel.