Director of AI Engineering

🕒 Abril 28

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Ottimate

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Ottimate é uma empresa de tecnologia especializada na automação de contas a pagar (AP). Com suas soluções orientadas por IA, a Ottimate racionaliza todo o processo de AP, desde a codificação e roteamento de faturas até os pagamentos, ajudando as empresas a economizar tempo e reduzir erros. Ela se integra perfeitamente a vários sistemas contábeis, fornecendo visibilidade em tempo real dos gastos e conformidade com as políticas financeiras. A plataforma foi projetada para melhorar a eficiência dos profissionais de finanças, permitindo que as organizações se concentrem na tomada de decisões estratégicas e na otimização de suas operações comerciais.

Descrição

• Architect and ship production AI/ML systems — you write code, not just review it • Own the AI roadmap end-to-end: prioritization, trade-offs, delivery • Set technical standards for model quality, evals, observability, and reliability • Drive adoption of agentic coding tools to multiply team velocity • Partner with Platform Engineering on infrastructure, data pipelines, and APIs • Manage a distributed team of 8–10 engineers across Data and ML disciplines • Hire, develop, and retain engineers at all levels; build a high-trust remote culture • Partner with Product on roadmap sequencing and scope trade-offs • Communicate AI capabilities and limitations clearly to non-technical stakeholders • Own model performance metrics and drive continuous improvement pipelines

🎯 Requisitos

• Production agentic pipelines using frontier models • Anthropic SDK · OpenAI SDK · tool use, function calling, multi-agent orchestration • Reliable agent loop design — planning, memory, tool execution, error recovery • RAG pipeline design — chunking, embedding models, retrieval tuning, reranking • Evals frameworks built from scratch — correctness, regression, semantic similarity • Observability for production AI — tracing, cost tracking, latency, failure analysis • Fine-tuning frontier or open-source models for domain-specific tasks • LoRA, QLoRA, instruction tuning — not just off-the-shelf API calls • Training data collection, curation, cleaning, and labeling at scale • LLM inference and serving optimization • Hands-on Python — comfortable writing, reviewing, and shipping production code • PostgreSQL — schema design, query optimization, indexing strategies • Distributed systems — async workers, queues, retries, state machines • Public-facing API design — REST, versioning, developer experience • AWS or cloud infrastructure — enough to own AI workload deployments

🏖️ Benefícios

• Compensation: 200,000-225,000 + 15% Annual Bonus • Competitive salary based on skills & experience. • Medical, Dental, Vision and other Company-Subsidized Benefits for you and your family. • Employer sponsored 401(k) with company match. • Paid Time Off (and the encouragement to use it). • Annual company retreats. • Promote from within philosophy. • Easier to solve difficult problems creatively and with agency.