Principal AI Engineer

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! Role Overview We are looking for a Principal AI Engineer to guide a distributed team of developers in building modern, scalable, and AI-integrated software solutions. As a technical leader, you'll be responsible for architectural oversight, system design, and AI strategy. You will play a crucial role in mentoring our global distributed developers, helping them decompose complex features into clear, modular tasks and leveraging AI tools to improve the speed, quality, and innovation of our delivery. This is a highly impactful role, ideal for someone who thrives at the intersection of software engineering, AI-assisted development, and technical leadership. Key Responsibilities Technical Leadership & Architecture: You will provide technical leadership for the team, guiding the design, development, and deployment of software solutions that leverage AI to solve complex business problems. You will be responsible for designing scalable, modular systems and communicating architectural decisions across services and domains. You will ensure all development aligns with modern architectural principles like domain-driven design and micro-services. Agentic AI & Prompt Engineering: You will be a subject matter expert in Agentic AI integration. This includes architecting and building robust MCPs/APIs and AI Agents to facilitate AI capabilities within our existing platforms. You will also develop and refine prompt strategies to guide AI agents in writing code, documentation, and tests, leveraging LLM tools to automate repetitive tasks and improve overall development efficiency. System Design & Task Decomposition: You'll translate high-level product goals into actionable engineering tasks that are optimized for both human and AI execution. You will also provide in-depth code reviews (for both human- and AI-generated code), ensuring performance, security, and correctness across our entire codebase. Mentorship & Coaching: You will actively mentor our globally distributed developers, providing technical guidance and fostering a learning culture focused on AI tool adoption, clean code practices, and modern software design. DevOps & CI/CD: You will collaborate on optimizing our build and deployment pipelines by integrating AI-enhanced review and testing steps to streamline our delivery process. Qualifications Essential Qualifications 10+ years of software engineering experience , with a focus on design/architectural technical leadership. 2+ years of experience working with AI/ML models in a production environment . A strong background in backend or full-stack technologies (Python). Demonstrated experience leveraging AI-assisted development tools like Claude Code, Devin AI, GH Copilot or various GPT APIs. Strong system design ( focused on RAG/Agentic systems) and task decomposition skills . Proven experience leading distributed engineering teams . Excellent written and verbal communication skills in English . Exposure to AI agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGPT, AgentCore). Experience with domain-driven design (DDD) or MCPs/Micro-services architecture. Experience with vector/graph databases, embeddings, or other LLM infrastructure. Preferred Qualifications A portfolio or examples of previous work demonstrating a passion for AI-driven software development. Prior experience in a fast-paced SaaS or startup environment. Knowledge of the HR, Legal, or Risk industries. What You'll Gain This isn't just a leadership role; it's a chance to be at the forefront of AI-integrated development . You will have the unique opportunity to shape how AI tools are used in modern software delivery and help us build a more efficient, innovative engineering organization. You will be part of a collaborative, mentorship-focused team where you can make a significant and lasting impact. 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: $180K – $200K Annually USD Total compensation includes US employee benefits and annual bonus eligibility. Benefits we offer: Health, Dental & Vision Insurance * 401 (k) + Employer Match * Open PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off STD, LTD & Group Life Insurance Paid Parental Leave Pet Insurance FSA & HSA Options Employee Assistance Program Perks we offer: Remote Work Career Advancement & Professional Development Opportunities Employee Recognition LinkedIn Learning Platform 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.