Principal AI Engineer

🕒 May 19

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Exactera

WebsiteLinkedInAll Job Openings

51 - 200 employees

💸 Finance

🏢 Enterprise

🤖 Artificial Intelligence

Finance • Enterprise • Artificial Intelligence

Exactera is a company that leverages AI-driven technology to provide tax compliance solutions for businesses. Their services emphasize improving efficiency, accuracy, and visibility in tax operations, specializing in transfer pricing, R&D tax credits, and tax provisions. Exactera's solutions offer localized compliance across various jurisdictions, promoting detailed and consistent documentation for their clients. The company is known for integrating sophisticated technology with industry expertise to turn tax data into business intelligence, reducing risks and enhancing strategic business values.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.