Senior Machine Learning Engineer architecting next-gen Agentic AI systems for enterprise workflows at Demandbase. Focused on multi-agent orchestration and LLM-powered reasoning systems.
Responsibilities
Design and implement multi-agent systems for complex enterprise workflows
Build agent orchestration frameworks
Develop architectures for reasoning loops, memory systems, tool integration, and contextual grounding
Design guardrails for hallucination mitigation and safe execution
Implement feedback-driven refinement loops and self-correction strategies
Design and operationalize LLM evaluation frameworks
Create structured evaluation pipelines to continuously improve agent performance
Apply advanced NLP techniques and optimize data pipelines with Python, Pandas, Spark
Architect modular, extensible AI systems for long-term maintainability
Implement evaluation-driven CI/CD for GenAI systems
Ensure ethical AI practices and compliance with enterprise standards
Define best practices and mentor engineers and data scientists.
Requirements
8+ years of experience in Machine Learning, AI Engineering, or Applied Data Science
Strong expertise in Generative AI systems and LLM architectures
Experience designing multi-agent or tool-using AI systems
Deep proficiency in Python and ML ecosystems (NumPy, Pandas, PyTorch/TensorFlow)
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