Principal AI Engineer

Exactera

Principal AI Engineer leading the development of AI solutions for Exactera's platform. Collaborating with product teams and domain experts to build compliance-grade AI systems.

Posted 5/19/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

Distributed SystemsNode.jsPythonTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningknowledge graphsstructured reasoning systemsvector searchLLMshybrid retrieval designRAG architecturemodel serving infrastructurePythonNode.js

Soft Skills

technical directioncollaborationdecision makingleadership