Principal AI Engineer

Mitratech; United States; On-site; USD 200,000 - 220,000; Full time

Benefits offered by this job

Remote Work

Career Advancement & Professional De3

Employee Recognition

Job summary

Mitratech is seeking a Principal AI Engineer to lead across multiple services, writing production Python code and defining AI platform patterns, including agent orchestration, tooling, and governance. The role combines advisory leadership with hands-on delivery across the AI stack, and you will mentor engineers while improving reliability and CI/CD practices.

Remote work within the United States is supported, with total compensation including strong US-based benefits and annual bonus eligibility.

Qualifications

• Principal-level, hands-on leader who sets direction across teams while writing production code.
• Deep expertise in Python and the modern AI stack.
• Experience with cloud platforms (AWS preferred).
• Proficient in GenAI/LLM techniques, embeddings, prompting, and guardrails.
• Familiarity with agent tooling and integration protocols such as MCP.
• Strong data persistence experience across relational, key‑value, document, and warehouse stores.

Responsibilities

• Set technical direction across multiple services and teams with broad autonomy.
• Define AI platform patterns and governance surfaces for the engineering org.
• Own reliability, testing, CI/CD, and operational standards across teams.
• Provide technical leadership and help shape staffing and roadmaps.
• Mentor engineers and raise the technical bar across teams.
• Write production Python code and stay hands-on in the AI stack.

Skills

Python backend development

Cloud platform engineering

GenAI / LLM applications

Agent tooling and orchestration

Data persistence (relational, key‑val,

Application security & identity

Automated testing & quality engenharia

Dev tooling & CI/CD practices

Infrastructure as Code

Containerization / orchestration

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

AWS

MCP

Docker

Kubernetes

CI/CD tools

Job description

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. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Job 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. The role is aligned to the organization rather than to a single team: you 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 in two primary modes: as a technical advisor and expert who helps teams solve problems and set architecture and solutions for specific initiatives, and as an embedded resource who aligns with a particular engineering team for an extended period to implement and deliver key functionality or solve highly complex technical problems before moving on to the next problem or team. In practice, your day to day will likely be a combination of both.

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

Requirements & Skills:

Principal‑level, hands‑on experience as a technical leader who sets direction across teams while still writing production code, with deep expertise across the modern Python AI stack. Specifically, deep expertise in:

• Python and 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 and integration protocols— agent orchestration frameworks and tool/context protocols such as MCP, including the design of agent coordination patterns.
• Data persistence— across relational, key‑value, document, and warehouse stores, with async data access and schema migration.
• Application security and identity— authentication, authorization, secrets management, and policy enforcement, ideally in a multi‑tenant context.
• Automated testing and quality engineering— across unit, integration, and end‑to‑end layers.
• Modern developer‑tooling and code‑quality practices— linting, typing, formatting, and reproducible builds.

You also work comfortably with Infrastructure as Code, containerization and orchestration, CI/CD and release automation, and observability and evaluation for LLM and backend systems.

Nice to have: frontend / web UI development; data warehouse engineering; and NoSQL / document databases.

Education:

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

We will disclose intended pay ranges in our job ads for US‑based opportunities – This role can be performed 100% remote anywhere in the US. Anticipated Pay Range: $200,000 – $220,000 Annually USD

Total compensation includes US employee benefits and annual bonus eligibility.

Benefits we offer:

• 401 (k) + Employer Match *
• Open PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off
• STD, LTD & Group Life Insurance
• Pet Insurance
• FSA & HSA Options
• Employee Assistance Program

Perks we offer:

• Remote Work
• Career Advancement & Professional Development Opportunities
• Employee Recognition

Mitratech is proud to be an EEOE, M/F/D/V, and we are committed to diversity both in practice and spirit at the corporate level. Mitratech participates in the Electronic Employment Verification Program. E‑Verify is an Internet‑based system that compares information from an employee’s I‑9 to data from the U.S. Department of Homeland Security and Social Security Administration Records. To learn more, visit:everify.com

We are an equal‑opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.