Principal AI Engineer - Mitratech

At Mitratech, we are a team of innovators focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. For over 35 years, our experts have solved complex enterprise needs, today serving 20,000 client companies globally.

Overview

The Principal AI Engineer is a senior individual-contributor and technical-leadership role on the AI and Platform team within Mitratech’s Legal Solutions division, reporting to the Senior Director, AI. In this role, you will set technical direction across multiple services and teams, define the AI platform patterns the engineering organization builds on — agent orchestration, tooling, governance hooks, and evaluation surfaces — and stay deeply hands-on, writing production code every day.

You will operate both as a technical advisor who helps teams solve architectural challenges and as an embedded resource delivering key functionality for complex technical initiatives.

Essential Duties & Responsibilities

• Set technical direction across multiple services and teams, operating with broad autonomy.
• Define AI platform patterns (agent orchestration, tooling, governance hooks, evaluation surfaces) for other teams to build on.
• Own reliability, testing, CI/CD, and operational standards across multiple teams.
• Provide technical leadership across teams, influencing staffing and roadmap priorities.
• Serve as a technical advisor and embed within teams to deliver complex, high-value functionality.
• Stay hands-on by designing and building production systems in Python across the AI stack.
• Define patterns and mentor engineers across teams to raise the technical bar.

Requirements & Skills

Principal-level, hands-on experience as a technical leader who sets direction across teams while maintaining active production coding responsibilities. Deep expertise across the modern Python AI stack, specifically including:

• Python & Backend Service Development: Building and operating production APIs and services.
• Cloud Platform Engineering: Designing and running cloud-native, event-driven systems (AWS preferred).
• GenAI / LLM Application Engineering: RAG, embeddings, prompting, and guardrails on managed model platforms.
• Agent Tooling & Integration Protocols: Agent orchestration frameworks and tool/context protocols such as MCP, including agent coordination patterns.
• Data Persistence: Relational, key-value, document, and warehouse stores, with async data access and schema migration.
• Application Security & Identity: Authentication, authorization, secrets management, and policy enforcement in multi-tenant contexts.
• Automated Testing & Quality Engineering: Unit, integration, and end-to-end testing layers.
• Modern Developer Tooling: Linting, typing, formatting, and reproducible builds.
• Familiarity with Infrastructure as Code (IaC), containerization/orchestration, CI/CD release automation, and LLM/backend observability.

Nice to Have

• Frontend / Web UI development.
• Data warehouse engineering.
• NoSQL and document databases.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Compensation & Benefits

• Anticipated Pay Range: $200,000 – $220,000 USD Annually
• Annual bonus eligibility
• Health, Dental, and Vision Insurance
• 401(k) + Employer Match
• Open PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off
• Paid Parental Leave
• Short-Term & Long-Term Disability + Group Life Insurance
• FSA & HSA Options
• Pet Insurance & Employee Assistance Program
• Professional development via LinkedIn Learning Platform