Principal AI Product Engineer

🕒 6 days ago

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Mitratech

1001 - 5000 employees

📋 Compliance

☁️ SaaS

💰 Private Equity Round on 2017-04

AI • Compliance • SaaS

Mitratech is a leading provider of enterprise legal management, risk management, and human resources solutions. Their platform incorporates automation, analytics, and artificial intelligence technologies to enhance efficiency and compliance across organizations. Mitratech specializes in tools for legal departments, risk management, compliance tracking, and HR management, creating an interconnected environment that empowers professionals to work smarter and achieve better outcomes.

📋 Description

• Lead the design, development, and deployment of AI-enhanced software solutions. • Ensure all development aligns with modern architectural principles, including microservices and domain-driven design. • Communicate architectural decisions clearly across services and domains. • Architect and implement robust APIs and microservices to integrate AI capabilities into our platforms. • Develop and refine prompt strategies to guide AI agents in coding, testing, and documentation. • Leverage AI tools like Copilot, Devin AI, and GPT APIs to improve efficiency and quality. • Translate high-level product goals into actionable tasks optimized for both human and AI execution. • Conduct detailed code reviews for both human- and AI-generated code, ensuring performance, security, and correctness. • Mentor nearshore developers, fostering a culture of learning and AI tool adoption. • Collaborate on optimizing build and deployment pipelines by integrating AI-enhanced review and testing steps to streamline delivery.

🎯 Requirements

• 10+ years of software engineering experience, with a focus on architectural leadership. • 2+ years of production experience with AI/ML models. • Strong backend or full-stack development experience (Python, Java, Go or Node.js). • Experience with AI-assisted development tools (Copilot, Devin AI, GPT APIs). • Strong system design and task decomposition skills. • Proven experience leading distributed or nearshore engineering teams. • Excellent written and verbal communication skills in English. • Familiarity with AI agent frameworks (LangChain, CrewAI, AutoGPT). • Experience with domain-driven design (DDD) or microservices architecture. • Experience with vector databases, embeddings, or other LLM infrastructure.

🏖️ Benefits

• 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

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