Tech Lead, AI Engineering

Location: São Paulo, Brazil or Warsaw, Poland

Company

Bain & Company is a global consulting firm building an integrated suite of agentic decisioning tools for large organizations.

What you will do

• Build and own the Agentic Core, including multi-agent orchestration, tool registries, shared memory and state management, and interface infrastructure.
• Develop enterprise AI applications from POCs and MVPs through scaled production deployments, including evaluation harnesses, reliability testing, and model experimentation.
• Design retrieval and knowledge pipelines across vector, keyword, hybrid, and graph-based data structures.
• Engineer cloud-native APIs and microservices with MLOps, AIOps, GenAIOps, CI/CD, versioning, observability, and reproducible evaluation.
• Implement secure enterprise deployment with access controls, auditability, privacy, governance, responsible AI guardrails, fallbacks, red-teaming, and human-in-the-loop review.
• Engage with consulting teams and senior stakeholders, explain technical decisions in business terms, shape solutions, and mentor engineers and case team members.

Requirements

• 10 or more years in software engineering or applied AI roles with significant hands-on building responsibilities.
• Strong Python proficiency and experience building production services with LLM APIs, agentic orchestration frameworks, and Azure or AWS deployments.
• Experience designing agentic workflows and multi-step LLM pipelines, including context engineering, memory and state management, tool integration, routing, planning, reflection, orchestration, ReAct, RLAIF, HITL, and feedback loops.
• Experience building retrieval and knowledge pipelines across vector, keyword, hybrid, and graph-based structures, including vector and graph databases, embedding optimization, indexing, and relevance tuning.
• Proficiency in MLOps and AIOps practices, automated evaluation, model and prompt versioning, and observability for agentic systems.
• Advanced prompt and context engineering, conversation design, evaluation frameworks, experimentation, and data-labeling strategies for LLM applications.
• Strong system design, architecture, cost optimization, computational tradeoff, software engineering, testing, code review, version control, and performance-profiling skills.
• Ability to apply data science and ML skills including feature engineering, model selection, training, validation, and reproducible evaluation.
• Native AI fluency with active use of AI-assisted coding tools; demonstrated commitment to responsible AI, access controls, auditability, bias awareness, and deployment readiness judgment.
• Track record of shipping production AI or ML systems end-to-end, contributing to complex multi-stack generative AI programs, mentoring engineers, and working in agile cross-functional or consulting-adjacent environments.
• Associate’s or Bachelor’s degree in computer science, engineering, mathematics, or a related technical field, or equivalent education, training, and experience.

Nice to have

• Direct experience engaging with clients or senior business stakeholders in a technical capacity, including presenting, advising, or shaping solutions in consulting-adjacent environments.

Culture & Benefits

• Permanent full-time employment within Bain’s Technology Solutions Group.
• Startup-style ownership and influence over architecture and product direction within an established global firm.
• Close collaboration across product, engineering, data science, infrastructure, ethics, consulting, and client teams.
• Work on applied AI systems used by real client teams across marketing ROI, brand, and pricing strategy.