Mitratech Logo

Mitratech

Principal AI Engineer

Reposted 2 Days Ago
Remote
Hiring Remotely in US
140K-190K Annually
Senior level
Remote
Hiring Remotely in US
140K-190K Annually
Senior level
The Principal AI Product Engineer leads the development of AI-integrated software solutions, overseeing architecture and mentoring teams. Key responsibilities include technical leadership, AI integration, task decomposition, and enhancing build pipelines.
The summary above was generated by AI

Principal AI Engineer
Location: United States (Remote) - Only US Citizens or GC
Team: AI-Enhanced Product Engineering

 

About Mitratech

Mitratech is a proven global technology partner for corporate legal, immigration, human resource, and compliance teams. Our approach to work is proactive, collaborative, and committed. The professionals who are thriving at Mitratech are people like you who know how to balance individual excellence with teamwork. We believe our employees’ enthusiasm fuels great work, so we pursue individuals with a passion for building an environment of ownership, transparency, continuous improvement as well as a dedication to driving the best possible experience for our customers. In other words, if you like people and technology, you'll fit right in.

Our team is changing the face of legal, immigration, compliance, and operational risk. Today, our products run over 20,000+ corporations of all sizes across the globe, representing a large portion of the Fortune 10, almost 40 percent of the Fortune 500, and over 50,000 users in over 150 countries. These teams depend on our technology and our people to help them grow and protect their organizations. Our approach to work is proactive, collaborative, and committed.

This is an excellent opportunity to join our growing company by supporting our most valued asset – our customers. In this role, you will gain an in-depth understanding of our customer’s operations, goals, and challenges so that you can help them gain the most value from their investments with Mitratech. 


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 microservices.

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 architectural 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 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, CrewAI, AutoGPT, Agent Core).
  • Experience with domain-driven design (DDD) or microservices 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.

 

Benefits we offer:

  • Health, Dental & Vision Insurance *
  • 401 (k) + Employer Match *
  • Unlimited 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

This role can be performed 100% remote anywhere in the US. Anticipated Pay Range: $190K USD– $210K USD Annually 

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.



Similar Jobs

12 Days Ago
Remote or Hybrid
74K-112K Annually
Senior level
74K-112K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Design and build evaluation and simulation systems for generative AI agents using Dynatrace observability data. Create large-scale simulation pipelines, define metrics/datasets/judging strategies, build developer CLIs, generate adversarial scenarios, and measure agent tool-use and failure modes. Prototype, run feedback cycles, set technical strategy, and mentor engineers.
Top Skills: Agent FrameworksApmAWSAzureCi/CdCli ToolingDynatraceEvaluation FrameworksGolden DatasetsGCPLlm-As-A-JudgeLlmsObservabilityPairwise ComparisonsPrompt EngineeringTrace Ingestion
13 Days Ago
In-Office or Remote
7 Locations
319K-479K Annually
Expert/Leader
319K-479K Annually
Expert/Leader
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead design and delivery of production autonomous agents and agentic workflows: architect orchestration, integrate and optimize frontier LLMs, drive model fine-tuning and evaluation, mentor engineers, and translate business goals into safe, reliable, scalable AI-powered product experiences.
Top Skills: Agent OrchestrationAgentic SystemsFine-TuningLlmsModel DistillationModel OptimizationMulti-Agent CoordinationPrompt EngineeringReinforcement Learning From Human Feedback (Rlhf)Retrieval-Augmented Generation (Rag)
2 Days Ago
Remote or Hybrid
USA
195K-320K Annually
Expert/Leader
195K-320K Annually
Expert/Leader
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.
Top Skills: AirflowAWSBigQueryDaskDockerFlinkGCPKafkaKubeflowKubernetesLangchainLlamaindexMlflowMlops ToolsOciPulsarPythonSagemakerSnowflakeSparkVertex Ai

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account