Principal AI Engineer

🕒 Maio 19

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Exactera

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💸 Finanças

🏢 Corporativo

🤖 Inteligência Artificial

Finance • Enterprise • Artificial Intelligence

A Exactera é uma empresa que utiliza tecnologia impulsionada por IA para fornecer soluções de conformidade tributária para empresas. Seus serviços enfatizam a melhoria da eficiência, precisão e visibilidade nas operações fiscais, com especialização em preços de transferência, créditos fiscais de P&D e provisões tributárias. As soluções da Exactera oferecem conformidade local em várias jurisdições, promovendo documentação detalhada e consistente para seus clientes. A empresa é conhecida por integrar tecnologia sofisticada com expertise da indústria para transformar dados fiscais em inteligência de negócios, reduzindo riscos e aumentando os valores estratégicos do negócio.

Descrição

• As Principal AI Engineer, you will own the inference and intelligence layer of the Exactera platform. • Build the substrate that agentic workflows run on. • Set technical direction, make build-versus-buy decisions, and provide direction to other senior engineers. • Evaluate the stack against real workloads and propose changes when warranted. • Collaborate with cross-functional teams including product engineering, product management, and domain experts in tax advisory. • Design and operate the typed graph of tax-domain entities and relationships.

🎯 Requisitos

• 10+ years in software engineering, with depth in at least two of the following accumulated before AI/ML became your primary focus: information retrieval and search infrastructure, knowledge representation, distributed systems, data-intensive applications, or platform engineering. • 5+ years in ML engineering, ML infrastructure, or AI platform development. • Production experience with knowledge graphs or structured reasoning systems alongside vector search and LLMs. • Hybrid retrieval design. • RAG architecture and LLM integration in production: cost optimization, retrieval quality measurement, regression detection, reliability under load. • AI infrastructure for document-heavy workflows: extraction, classification, and analysis of semi-structured and unstructured documents into structured representations. • Model serving infrastructure in production: real-time inference endpoints with latency, cost, and reliability SLAs. Experiment tracking, model registry, and deployment lifecycle tooling. • Evaluation framework design for retrieval and LLM-powered systems. • Developer-facing APIs, SDKs, or platform services consumed by other engineering teams. • Strong Python engineering. Production Node/TypeScript experience is a plus.

🏖️ Benefícios

• A collaborative team culture with opportunities for career development. • Ample opportunities to be recognized, build valuable skills, and grow your career. • Generous vacation policy, including paid parental leave. • Comprehensive health plans with FSA and HSA options. • 401(k) retirement plan. • Life and disability insurance coverage. • Supplemental benefits like a dependent care savings plan, pet insurance, will preparation, and an employee assistance program.