Senior Machine Learning Engineer

• Define and drive the technical vision and architecture for AI systems within Realm-X
• Design and build deep, context-aware agents leveraging domain ontologies and structured business primitives
• Lead the development of agentic workflows that combine reasoning, planning, and execution
• Architect systems for real-time, multi-modal AI agents across communication channels
• Build and evolve platform capabilities to enable broad internal adoption
• Translate ambiguous, high-impact problems into scalable, production-ready AI systems
• Establish best practices for LLM evaluation, observability, safety, and iteration loops
• Collaborate cross-functionally with product, design, and engineering leaders to shape strategy and execution
• Mentor engineers and raise the technical bar across the organization
• Identify and introduce emerging AI technologies and paradigms that create leverage for the business

• Think in terms of systems and platforms, not just features
• Track record of building and deploying ML/AI systems in production at scale
• Comfortable operating in high ambiguity and defining direction where none exists
• Ability to lead through influence, aligning multiple teams around a technical vision
• Balance long-term architecture with pragmatic delivery
• Motivated by high-impact problems that shape products and business outcomes

Technical Experience

• Master's or Ph.D. in Computer Science, Machine Learning, or a related technical field (required)
• Extensive experience developing and deploying machine learning systems in production environments
• Strong software engineering expertise with languages such as Python, Go, Ruby, or JavaScript
• Deep understanding of distributed systems, APIs, and cloud infrastructure (AWS or similar)
• Experience leading large, cross-functional technical initiatives
• Ability to design systems that integrate structured data, models, and Real Time decisioning

Nice to Have

• Experience with LLMs, AI agents, and tool-using systems (eg, LangChain, LangGraph, OpenAI APIs)
• Familiarity with agentic architectures, planning/execution loops, and orchestration frameworks
• Experience building domain-specific ontologies, knowledge graphs, or semantic layers
• Background in workflow orchestration systems (eg, Temporal)
• Experience building platforms that enable other engineering teams
• Exposure to multi-modal AI systems (voice, chat, email, etc.)

Base pay range: $167,200 - $209,000 annually, plus potential bonuses and total rewards package. Regular Full time employees are eligible for benefits.