Mitratech
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.
1001 - 5000 employees
📋 Compliance
☁️ SaaS
💰 Private Equity Round on 2017-04
Lead AI Product Engineer
Job not on LinkedIn
October 21
Mitratech
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.
1001 - 5000 employees
📋 Compliance
☁️ SaaS
💰 Private Equity Round on 2017-04
📋 Description
• Lead the design, development, and deployment of AI-enhanced software solutions. • Architect and implement robust APIs and microservices to integrate AI capabilities into our platforms. • Translate high-level product goals into actionable tasks optimized for both human and AI execution. • 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, 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
• Flexible working arrangements • Professional development opportunities
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