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Eli Lilly and Company

Agentic Automation, Frontier AI

Eli Lilly and Company

. Build multi-agent systems with robust orchestration, state management, error recovery, and tool integration .

Posted 11/5/2026full-timeUnited StatesJunior💰 $69,000 - $195,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and integrating multi-agent systems with laboratory automation platforms, utilizing Docker and Kubernetes for orchestration. Proven ability to collaborate with scientists and engineers to transition prototypes into reliable lab operations while maintaining a focus on experimental data analysis and automation.

Highest-signal resume keywords
Multi-Agent Systems DevelopmentLaboratory Automation IntegrationDocker And Kubernetes OrchestrationPython Application DevelopmentResearch Experience In ML/NLP

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Multi-Agent SystemsLaboratory AutomationPythonDockerKubernetesLIMS/ELN IntegrationAI Systems IntegrationClosed-Loop ExperimentationLangChain/LangGraphOpenTelemetry
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
HamiltonTecanOpentronsArgoGitOpsCI/CD
Industry Keywords
Wet-Lab AutomationHigh-Throughput ExperimentationFlow ChemistryRobotic WorkflowsExperimental Data Analysis

Tech Stack

Tools & technologies
CloudDockerKubernetesPython

About the role

Key responsibilities & impact
  • Build multi-agent systems with robust orchestration, state management, error recovery, and tool integration
  • Prototype and iterate on agent planning strategies, memory systems, and human-in-the-loop patterns
  • Design agent architectures interfacing with Hamilton, Tecan, and Opentrons lab automation platforms for closed-loop experimental execution
  • Partner with automation engineers and scientists to transition prototypes into reliable lab operations
  • Deploy and maintain containerized services using Docker and Kubernetes with GitOps and CI/CD practices
  • Integrate cloud-based orchestration frameworks such as Argo on Kubernetes with laboratory control systems
  • Engineer integrations between agentic AI and physical lab systems, including robotic platforms, analytical instruments, and data pipelines
  • Design agent workflows that reason over experimental data, trigger automated actions, and surface insights to scientists
  • Prototype rapidly, productionize successful solutions, and collaborate with chemists, biologists, and automation engineers
  • Represent Frontier AI in the AI@Lilly and external AI research communities through publications, talks, paper reviews, and trend scouting
  • Evaluate external vendors, open-source projects, and academic collaborations for strategic fit

Requirements

What you’ll need
  • MS + 1 yr or BS + 3 yrs equivalent experience in Computer Science, Mathematics, Engineering, or related discipline
  • Demonstrated wet-lab automation experience
  • Demonstrated experience with laboratory automation systems and LIMS/ELN integration
  • Direct experience integrating software control and/or AI systems with lab automation platforms, such as liquid handlers, analytical instruments, robotic workflows, high-throughput experimentation, or flow chemistry
  • Experience with Docker and Kubernetes-based orchestration in cloud or production environments
  • Experience building scalable, production-level Python applications using tools such as LangChain/LangGraph, AutoGen, and OpenTelemetry
  • Qualified applicants must be authorized to work in the United States on a full-time basis
  • Experience with LLM post-training, fine-tuning, or RLHF
  • Experience deploying closed-loop autonomous experimentation
  • Ability to build and maintain the translation layer between high-level planning logic and low-level instrument control
  • Demonstrable research experience, ideally including publications in relevant ML/NLP venues

Benefits

Comp & perks
  • Company bonus depending, in part, on company and individual performance
  • Company-sponsored 401(k)
  • Pension
  • Vacation benefits
  • Medical, dental, vision, and prescription drug benefits
  • Healthcare and/or dependent day care flexible spending accounts
  • Life insurance and death benefits
  • Time off and leave of absence benefits
  • Employee assistance program
  • Fitness benefits
  • Employee clubs and activities