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Remote role but niche ML/LLM specialization reduces applicant density.
ML/AI implementation skills transfer across industries, though ERP domain expertise adds moderate bias.
Explicit 6+ years requirement with mandatory AI/ML production experience and leadership.
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Lead development of complex AI-powered ERP platform features, focusing on integration, performance, and production readiness.
Create reference implementations and coding standards for AI/ML enhanced solutions, including prompt engineering and LLM integration.
Provide technical expertise and mentorship across teams, guiding architecture feasibility, implementation quality, and operational excellence.
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or related field.
6+ years of professional software engineering experience with hands-on AI/ML systems implementation.
Proven technical leadership with delivery on large-scale, business-critical systems.
Willingness to travel up to 20%.
Experienced in enterprise software engineering with scalable AI/ML production deployments.
Demonstrates deep practical skills in solving complex integration and performance challenges within ERP systems.
Capable of mentoring senior engineers and influencing engineering practices at organizational level.