Harrison Clarke ยท 1 day ago
Senior Machine Learning Engineer
Harrison Clarke is a fast-moving AI engineering team building next-generation multi-agent systems that automate complex business workflows. They are seeking an experienced Senior Machine Learning Engineer who specializes in large language models, agent architectures, and tool-enabled AI systems to design, implement, and deploy multi-step agent pipelines, and manage inference infrastructure.
Responsibilities
Design and implement complex, multi-step agent pipelines using both open- and closed-source LLMs
Build tools and adapters that allow agents to interact securely with enterprise applications and APIs
Ensure agent behavior aligns with business objectives, reliability targets, and relevant compliance requirements
Create data generation, processing, and labeling pipelines to support model training and fine-tuning
Implement training and evaluation workflows for LLMs and downstream agent components
Run experiments to improve agent reasoning, tool-use, and task completion metrics
Operate and optimize inference endpoints and related serving infrastructure on cloud platforms
Implement monitoring, observability, and performance testing for deployed models and agents
Contribute to secure, scalable CI/CD for model release and rollbacks
Qualification
Required
Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field
2+ years of professional experience in software engineering, platform engineering, or ML engineering
Demonstrated experience building and shipping AI systems that leverage LLMs and agentic/tool-calling patterns
Strong background in ML pipelines, data engineering for model training, and vector/representation stores or equivalents
Proficiency in Python and common ML frameworks and tooling
Preferred
Experience deploying production-grade, large-scale AI applications with attention to reliability and cost
Familiarity with model evaluation, observability, A/B testing, and post-deployment monitoring for AI
Strong communication skills for translating technical tradeoffs to non-technical stakeholders