Beamup
AppliedAI/MLScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Applied AI/ML Scientist at Beamup. Skills: Agentic systems, Autonomous agents, LLM APIs, Model evaluation. Build agentic systems. Build autonomous agents”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
5+ years experience, Spark for large-scale, distributed data processing, LLM APIs experience, Prompt engineering experience
Nice to Have
Multi-agent architectures experience, Agent-to-agent communication protocols experience, Agent orchestration at scale experience, Cloud platforms experience, MLOps practices experience, Containerization experience, Production engineering practices experience
What You'll Do.
Build agentic systems
Build autonomous agents
Perform rigorous model evaluation
Define evaluation strategies for agent behavior
How You'll Work.
Team & Collaboration
Engineering teams; Product teams; Supply chain domain experts
Communication Scope
Agent behavior communication
Full Job Description
About Us Beamup helps enterprises move beyond dashboards, alerts, and manual triage to automated supply chain execution. Our AI platform supports large, complex retail and manufacturing networks by deploying specialized AI agents that operate continuously across stores, distribution centers, warehouses, and in-transit operations. These agents detect execution issues, identify root causes, and execute corrective actions - either autonomously or by routing work to the right teams. Retailers and manufacturers rely on Beamup to replace reactive workflows with consistent, scalable execution — reducing losses, improving performance, and operating with greater confidence at global scale. Our Mission To redefine supply chain intelligence by building AI agents that predict, prevent, and resolve inventory health and operational issues in real time. Job Summary: We are looking for an experienced Applied AI/ML Scientist with expertise in building agentic systems and autonomous agents to join one of our R familiar with Spark for large-scale, distributed data processing Experience with LLM APIs (e.g., OpenAI, Anthropic, Bedrock, open-source models) and prompt engineering for agentic use cases Experience performing rigorous model evaluation (baselines, cross-validation, error analysis) and defining evaluation strategies for agent behavior Strong communication and collaboration skills; able to work across engineering, product, and supply chain domain experts and iterate fast Nice to Have (Advantages) Experience with multi-agent architectures, agent-to-agent communication protocols, and agent orchestration at scale Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices (CI/CD for ML, model monitoring, drift detection) Familiarity with containerization and production engineering practices (Docker, Kubernetes) Beamup is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, colo
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